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Experience Level
Senior
Qualifications
Requirements:Education: Bachelor’s degree in Computer Science, Engineering, Statistics, Mathematics, or a related quantitative discipline. Technical ML Foundation:Algorithms: Comprehensive understanding of classification techniques (Logistic Regression, Decision Trees, Random Forests) and regression analysis. Deep Learning: Basic knowledge of neural network architectures and principles (activation functions, loss functions, backpropagation). Libraries: Practical experience with Scikit-Learn for data preprocessing, model selection, and pipeline development. Optimization: Familiarity with hyperparameter tuning methodologies and gradient boosting frameworks (LightGBM, XGBoost). Software Engineering Fundamentals:Version Control: Proficient with Git commands (branching, merging, conflict resolution) and collaborative platforms (GitHub/GitLab). Code Quality: Capacity to produce clean, reusable, and intelligible code, with an understanding of functions, modularity, and basic testing. Core Skills: Proficient in Python programming and SQL. Analytical Foundation: Strong grasp of statistics and familiarity with standard data manipulation libraries (Pandas, NumPy).
About the job
Join our dynamic team at mylo-btech as a Senior Machine Learning Back-end Engineer, where you'll play a crucial role in shaping the future of technology.
Key Responsibilities:
End-to-End Modeling: Collaborate in the training and refinement of machine learning models across diverse business sectors utilizing contemporary Python libraries.
Engineering Integration: Partner with our team to make models accessible through APIs. Gain insights into implementing Feature Store definitions while ensuring data integrity for real-time application.
Data Operations: Oversee data preparation and analysis using SQL and Python. Acquire skills in managing datasets with Data Version Control tools to monitor modifications.
Code Quality: Produce clean, modular, and thoroughly tested code. Engage in peer code reviews and utilize version control (Git) as part of your daily routine.
Continuous Learning: Engage in our comprehensive induction program to master our specialized tools for model serving, package management, and system monitoring.
About mylo-btech
mylo-btech is at the forefront of technological innovation, providing a collaborative and creative work environment designed to empower our teams and drive business success.
At flatgigs, we are on a mission to create impactful solutions that go beyond mere dashboards or data toys. We are seeking an AI ML Engineer who is passionate about working with real human behavior data. In this role, your models will have the potential to enhance the way people move, live, and care for themselves.If you thrive on untangling complex puzzles …
Join us at flatgigs, where we're not just creating another dashboard — we're on a mission to harness real human behavior data. This role is perfect for individuals passionate about utilizing machine learning to enhance the way people live, move, and care for themselves.If you thrive on solving complex puzzles within messy, real-world datasets, you will fit right in.Your ResponsibilitiesDevelop, train, and optimize machine learning and deep learning models using time-series, sensor, and behavioral data.Integrate data from wearables, fitness tracking platforms, and device APIs to narrate clear stories from movement and activity signals.Construct and manage data pipelines to facilitate both batch and real-time analytics.Lead model deployment in production environments — your models will operate in the real world, not just in notebooks.Collaborate closely with engineering teams to integrate ML models into mobile and web applications.Implement logic for fraud detection, spoofing, and anomaly detection, ensuring data reflects genuine human activities.Simplify complex outputs for ease of understanding, catering not only to engineers but also to product and business stakeholders.
Job ResponsibilitiesArchitect and sustain data pipelines tailored for ML/AI workloads, effectively managing large-scale, unstructured, and semi-structured data sets.Create feature pipelines and stores to ensure data reusability and consistency for machine learning initiatives.Work alongside Data Scientists and ML Engineers to define data needs for training, validation, and deployment of models.Guarantee data quality, lineage, and governance align with standards necessary for AI/ML applications.Facilitate MLOps practices by integrating data pipelines with model training, monitoring, and deployment processes.Utilize distributed processing frameworks (e.g., Spark, Databricks, Azure Synapse) for scalable ML data processing.
SanaCommerce is seeking a Senior Data Scientist with a strong background in machine learning, artificial intelligence, and generative AI. This position is based in Alexandria and focuses on advancing e-commerce solutions through data-driven approaches. Role overview The Senior Data Scientist will work closely with teams across the company to design and implement algorithms and models. The goal is to improve both customer experiences and internal operations through applied ML, AI, and GenAI techniques. Key responsibilities Develop and refine machine learning and AI models for SanaCommerce’s e-commerce products Collaborate with cross-functional groups to identify and solve business challenges using data Apply generative AI methods to enhance product features and decision-making processes Requirements Expertise in machine learning, artificial intelligence, and generative AI Experience working in collaborative, cross-functional teams Ability to translate data insights into practical improvements for products and operations
Role Overview Synapse Analytics seeks a Machine Learning Engineer II with a focus on computer vision to join the team in Maadi, Al Qāhirah, Egypt. This position centers on building and scaling computer vision models for core products. The role extends beyond implementation, offering the opportunity to take ownership of advanced machine learning components and influence the product roadmap. Mentoring junior engineers is also a key responsibility. Main Responsibilities Design, implement, and manage the full lifecycle of machine learning models and features that drive product impact. Collaborate with design and engineering teams to ensure model requirements are valuable and feasible. Optimize model pipelines for better performance, speed, and alignment with company objectives. Explore and visualize data to uncover distribution patterns affecting model performance, and establish effective validation strategies. Analyze model errors and develop solutions to address them. Work with stakeholders, designers, and developers to define requirements and deliver integrated solutions. Communicate model decisions, progress, and challenges to management and cross-functional teams. Lead model refinement sessions, offer detailed feedback to peers, and support the development of junior engineers. Research market trends and user needs to propose and assess new product ideas.
Recognized as a Great Place to Work®, Unifonic is an innovative startup in the SaaS industry, transforming business communication. Our vibrant team of 500 dedicated professionals is committed to enhancing the experience of over 5,000 customer-focused companies.We take pride in our collaborative and enjoyable work culture that fosters creativity and innovation. As stakeholders in our venture, we are more than just communicators; we are Unifones. Join us and contribute to our exciting journey!As the AI Engineering Manager, you will be instrumental in defining and implementing our AI strategies, merging technical acumen with effective people management.Join our Engineering Team!Our Engineering department is responsible for the design, development, and maintenance of the technologies integral to Unifonic's solutions. Collaborating closely with various departments, we ensure our offerings meet the evolving needs of our clients. If you're passionate about cutting-edge technology and eager to work on pioneering communication and engagement solutions, we want to hear from you.In your role as AI Engineering Manager, you will lead and nurture a team of talented AI engineers while remaining hands-on in technical projects. This dual focus allows you to guide your team in delivering exceptional AI solutions while actively participating in architectural decisions, code reviews, performance enhancements, and proof-of-concept developments. You will cultivate a culture of continuous learning, technical excellence, and collaboration, ensuring both technology and talent flourish under your guidance.Help us redefine communication by:Acting as the technical expert in AI model design, architecture, and product integration.Leading the assessment, selection, and implementation of AI/ML frameworks, tools, and best practices to ensure scalability, robustness, and maintainability.Engaging in hands-on coding, solution prototyping, and code reviews to uphold quality standards and guide the team through complex challenges.Overseeing and refining the AI development lifecycle, including model training, validation, deployment, and ongoing enhancement.Leading a team of AI engineers by providing mentorship, regular feedback, and career growth support.Establishing clear performance expectations, conducting performance reviews, and identifying growth opportunities for team members.Promoting a positive, inclusive, and high-performance team culture that encourages innovation, continuous learning, and collaboration.
Job PurposeJoin Tarjama as a Senior AI Engineer, where you will lead the design, development, and implementation of cutting-edge AI systems that enhance our language, document, and speech intelligence capabilities across various products. Your expertise will transform intricate business and product requirements into robust, scalable AI solutions, while ensuring their reliability and continuously improving their performance, accuracy, and cost-effectiveness.In this pivotal role, you will help define Tarjama's AI architecture and establish best practices, working collaboratively with product, engineering, and data teams to deliver impactful AI applications that elevate our localization, content, and technology solutions.Duties & ResponsibilitiesMultimodal AI DevelopmentCreate and integrate text-based AI systems, including LLM pipelines, embeddings, rerankers, and scalable RAG architectures.Develop and enhance document understanding systems utilizing OCR, layout-aware vision models, and multimodal reasoning.Design speech-based AI solutions, such as STT, TTS, and conversational voice agents.Establish multilingual and translation pipelines, ensuring high quality, low latency, and scalability across various languages.AI Product Development & DeploymentLead the development of AI-powered features from conception to production, ensuring alignment with product and business objectives.Deploy, monitor, and optimize AI systems in production environments, ensuring their reliability, scalability, and cost-effectiveness.Work closely with software engineering teams to integrate AI components into secure, maintainable, and scalable architectures.Implement observability, logging, and monitoring to support ongoing improvement of AI systems.Model Evaluation & OptimizationDevelop evaluation strategies and metrics for multimodal AI systems, focusing on accuracy, latency, robustness, and user impact.Benchmark, fine-tune, and optimize models to enhance inference performance, cost-effectiveness, and scalability.Conduct experiments and A/B testing to validate model and system enhancements.Identify and address model failure modes, biases, and performance regressions.AI Agentic Workflows & FrameworksDesign, implement, and maintain AI-driven workflows that coordinate language, vision, and speech models to tackle complex, real-world tasks.Build and enhance task-oriented, tool-using AI agents leveraging modern agent frameworks and orchestration patterns.
Join Integrant as a Lead AI Platform Engineer and be a pivotal force in revolutionizing our AI capabilities.The Lead AI Platform Engineer will be instrumental in integrating AI workloads with robust production-grade infrastructure, focusing on leveraging the NVIDIA AI stack to deliver high-performance, scalable, and optimized AI systems.This role emphasizes model optimization, runtime efficiency, and GPU utilization to ensure that AI workloads are ready for production, cost-effective, and highly effective in enterprise environments.Key Responsibilities:Transform AI/ML workloads into optimized infrastructure and deployment strategies.Enhance model performance within GPU environments, focusing on latency, throughput, and memory utilization.Design and execute inference and training pipelines utilizing NVIDIA stack tools like TensorRT, Triton, and NIM.Convert and optimize models across various frameworks (e.g., PyTorch to ONNX to TensorRT).Identify and mitigate performance bottlenecks through the use of profiling tools (GPU, memory, network).Boost GPU utilization and scheduling efficiency across clusters.Architect scalable distributed training and inference frameworks.Collaborate with clients to outline AI infrastructure strategies and deployment models.Oversee production deployments, ensuring effective monitoring, rollback, and performance validation.Conduct applied research to enhance model efficiency and infrastructure utilization.Guide team members in AI infrastructure, optimization, and GPU systems.Utilize experiment tracking tools (MLflow, W&B, Neptune) to log parameters, metrics, and artifacts for analysis.Detect model degradation post-deployment due to issues like concept drift, data pipeline alterations, and traffic pattern changes.Perform root cause analysis (RCA) on ML systems by isolating variables and reproducing issues.
Join Lucidya as a Voice AI EngineerAt Lucidya, a rapidly expanding SaaS enterprise specializing in AI-driven customer experience solutions within the MENA region, your work will play a crucial role in transforming how organizations engage with their clients. With a strong focus on Arabic-first AI, we empower businesses to connect and serve their customers effectively and at scale.We are excited to announce the launch of our new AI Agents division, dedicated to creating innovative AI Agent platforms aimed at addressing significant challenges in Customer Experience—securely, responsibly, and at scale.Your RoleAs a Voice AI Engineer, you will design, build, and deploy intelligent Voice Agents that tackle real business challenges. This position is pivotal to our Agent AI business unit, moving beyond theoretical experiments to deliver impactful solutions that enhance performance and reliability.You will have the chance to demonstrate your expertise in developing solutions from the ground up, delivering substantial value to our clients.Key ResponsibilitiesAI & Agent DevelopmentCreate and implement real-time voice agents utilizing ASR, TTS, and LLM-based reasoning.Assess Voice Agent providers, emphasizing reliability and stress testing.Develop multi-turn, stateful voice dialogues with interruption handling, retries, tool-use, and fallbacks.Establish evaluation metrics for AI Agent performance to ensure functionality.Fine-tune STT, TTS, and LLMs for various dialects.Contribute to the development of the Lucidya AI Agent platform, embedding Voice capabilities within.Production & ScalabilityDeploy AI models in production environments with a focus on scalability, performance, and reliability.Collaborate on MLOps practices to facilitate continuous integration, monitoring, and enhancement.Work with streaming architectures such as WebSockets, gRPC, and SIP/WebRTC.Analyze call logs and transcripts to drive ongoing performance improvements.Cross-Functional CollaborationEngage with software engineers, product managers, and domain experts.Translate business challenges into effective AI solutions with measurable impacts.Governance & QualityEnsure AI solutions adhere to ethical standards, data privacy regulations, and legal requirements.Document models, algorithms, workflows, and decisions clearly for stakeholders.Stay abreast of the latest AI research, tools, and best practices for implementation.
Overview Vezloo is on the lookout for a skilled Prompt Engineer with a focus on adversarial testing of Generative AI systems. In this pivotal role, you will be responsible for crafting and implementing structured prompt-based attack scenarios aimed at assessing model safety, resilience, and compliance across various risk domains. Your expertise will play a vital role in fortifying AI systems by pinpointing vulnerabilities and documenting model behaviors in response to challenging inputs.Key ResponsibilitiesDevelop and design adversarial prompts across multiple risk categories, including but not limited to: Generation of harmful or unsafe content Addressing bias and fairness concerns Manipulation of misinformation and factuality Prevention of privacy leakage and sensitive data exposure Evasion of policy bypass and safety guardrails Implement structured attack scenarios against Generative AI systems including: Prompt injection techniques Jailbreaking methods Multi-turn conversational manipulation Role-playing and context distortion strategies Analyze model outputs to uncover failures, inconsistencies, or policy violations Document findings with actionable insights to facilitate model enhancement Collaborate effectively with evaluation teams to refine testing frameworks and coverage strategiesRequirementsProficient in English (C1 or C2 level, both written and spoken) Demonstrable experience in evaluating or assessing Generative AI models Strong hands-on expertise in prompt engineering and structured prompt design Familiarity with adversarial testing principles in AI systems Analytical thinking with the ability to simulate edge-case user behaviors Access to a Mac device running the latest macOSBenefits Fully remote work environment Opportunity to engage with cutting-edge AI technologies Inclusive and collaborative team culture Opportunities for professional growth and development
Join Wind Integrated Solutions, an Oracle Partner in Egypt, KSA & UAE, as a Senior AI Data Fabric Engineer. We are seeking a talented professional with an extensive background in data manipulation, machine learning, and natural language processing (NLP).At Wind Integrated Solutions, we pride ourselves on being a leading software development company, offering innovative technology services, business automation, and digital transformation solutions.Key Responsibilities:Lead technical discovery sessions and conduct data maturity assessments with enterprise clients across Egypt and Saudi Arabia.Design and present cutting-edge data platform architectures utilizing modern technologies such as Microsoft Fabric, Azure Data Services, OpenMetadata, and SQLMesh.Craft persuasive business cases that align data governance and AI functionalities with tangible business results.Develop comprehensive technical proposals, solution architectures, and pricing models tailored for data and AI projects.Provide engaging demonstrations of AI agent workflows, agentic automation, and conversational data access methods.Assist in Microsoft co-sell initiatives for Azure AI, Microsoft Fabric, and Copilot-related opportunities.Collaborate with product developers to ensure presales demonstrations reflect current product capabilities.Contribute to thought leadership through whitepapers, case studies, and technical blog articles.Monitor the competitive landscape within the data governance and AI platform sectors, including companies like Informatica, Collibra, Databricks, and Coalesce.
Join our dynamic team at mylo-btech as a Senior Machine Learning Back-end Engineer, where you'll play a crucial role in shaping the future of technology.Key Responsibilities:End-to-End Modeling: Collaborate in the training and refinement of machine learning models across diverse business sectors utilizing contemporary Python libraries.Engineering Integration: Partner with our team to make models accessible through APIs. Gain insights into implementing Feature Store definitions while ensuring data integrity for real-time application.Data Operations: Oversee data preparation and analysis using SQL and Python. Acquire skills in managing datasets with Data Version Control tools to monitor modifications.Code Quality: Produce clean, modular, and thoroughly tested code. Engage in peer code reviews and utilize version control (Git) as part of your daily routine.Continuous Learning: Engage in our comprehensive induction program to master our specialized tools for model serving, package management, and system monitoring.
Join our innovative team at Lilt, where we are developing a comprehensive evaluation suite of Terminal-Bench tasks aimed at pushing the boundaries of large language models in multilingual software scenarios. Our mission is to assess multilingual robustness, focusing on prompt language effects, processing of non-English data, and intricate locale/encoding edge cases within terminal workflows.We are looking for skilled native-speaking software engineers to conceptualize, develop, and validate these benchmarks. Your expertise will be crucial in creating high-quality, meaningful tasks that effectively test a model's capacity to navigate multilingual environments without resorting to English translations.This is a fully remote, freelance position.Target Languages: Spanish, German, Czech, Turkish, Arabic (Egyptian), Korean, Japanese, Hausa, Hindi, Marathi.Key Responsibilities:Task Engineering: Evaluating coding agents.Asset Creation: Develop realistic task environments utilizing datasets and files in your native language, ensuring these assets remain in the target language to accurately evaluate multilingual handling.Prompting & Translation: Identify failure points where AI struggles in your native language.Implementation & Verification: Assist in creating robust solutions (reference implementations) and write reliable verifier scripts (using rubric-based judging only when absolutely necessary).Calibration & Execution: Analyze execution logs and calibrate task difficulty (from Easy to Very Hard) using standard Terminal-Bench configurations across various model tiers (Haiku, Sonnet, Opus).Quality Assurance: Engage in a stringent, four-layer human quality control process alongside automated LLM-based checks to ensure fairness, grammatical correctness, and benchmark integrity.
Full-time|On-site|Nasr City, Al Manteqah Al Oula, Egypt
About the RoleWe are in search of a talented and seasoned AI Software Engineer to spearhead the development of cutting-edge intelligent software solutions tailored for our industrial applications. This pivotal role merges advanced AI technologies, including large language models (LLMs), predictive analytics, and edge AI, with robust software engineering methodologies.Key ResponsibilitiesWork collaboratively with Development Managers to pinpoint AI and machine learning opportunities.Conduct thorough feasibility assessments for system upgrades incorporating AI enhancements.Create scalable software architectures based on microservices principles.Design AI inference systems optimized for cloud environments.Develop and implement Retrieval-Augmented Generation (RAG) pipelines.Construct predictive maintenance models utilizing sensor data.Establish real-time anomaly detection solutions.Contribute to initiatives involving digital twins and energy optimization.Produce secure, efficient, and production-ready code.Conduct code reviews with an emphasis on AI safety, performance, and scalability.Oversee project timelines and deliverables effectively.Document AI model functionalities, limitations, and system designs.Educate staff on AI-enhanced workflows and system applications.
Role OverviewAs a Senior Data Engineer specializing in Machine Learning (ML) and Artificial Intelligence (AI), you will be instrumental in developing and sustaining data pipelines tailored for ML/AI applications. Your efforts will focus on managing extensive datasets, including unstructured and semi-structured information, to ensure our analytics and machine learning initiatives are grounded in high-quality data.Your ResponsibilitiesDesign, implement, and optimize data pipelines specifically for ML/AI scenarios, ensuring effective handling of large-scale datasets.Construct feature pipelines and feature stores that promote data reusability and consistency for machine learning models.Work closely with Data Scientists and ML Engineers to clarify data needs for model training, validation, and deployment.Guarantee that data quality, lineage, and governance adhere to the standards necessary for AI/ML applications.Facilitate MLOps practices by integrating data pipelines into model training, monitoring, and deployment processes.Utilize distributed processing frameworks (e.g., Spark, Databricks, Azure Synapse) for scalable ML data processing.
Whiteshield is looking for a Senior Full Stack Product Engineer to join its remote team in Egypt. This role centers on building and improving product features with Next.js, while also applying AI-native methods to create new capabilities. Main responsibilities Develop and refine full stack features using Next.js Implement AI-driven solutions to expand product functionality Work closely with a team dedicated to advancing technology and maintaining high product standards Location This is a remote position open to candidates based in Egypt.
Join our innovative team at Nawy Real Estate as an AI Engineer where your passion for artificial intelligence and machine learning can flourish. We're looking for a proactive individual with 1–2 years of hands-on experience in AI to contribute to developing cutting-edge solutions that address complex business problems. You will work closely with senior engineers to design, build, and deploy AI models and algorithms.Key Responsibilities:Support the development of AI models aligned with business needs.Conduct data analysis and prepare data sets for training and validating models.Build and implement machine learning pipelines.Work collaboratively with various teams to incorporate AI functionalities into existing systems.Run experiments to enhance model performance and scalability.Keep abreast of the latest advancements in AI technologies.
Full-time|On-site|New Cairo City, Cairo Governorate, Egypt
b_labs serves as the transformation and digitization division of B.TECH, dedicated to revolutionizing the industry landscape. We lead technological innovations at B.TECH, a pivotal player in the Egyptian retail sector. By becoming part of b_labs, you will immerse yourself in a collaborative startup culture while benefiting from the stability of a company that consistently achieves robust growth. You will join a forward-thinking, customer-centric team with an ambitious vision to become a leader in digital retail across the Middle East.The Role: We are seeking a Senior Data Scientist to spearhead the technical strategy for our decision-making engines. You will work at the confluence of Data Science and Software Engineering, crafting scalable systems that drive various business functions—from Growth & Pricing to Underwriting & Collections. Your role will evolve beyond mere model development to architecting dependable, reproducible MLOps pipelines that facilitate real-time financial decision-making.
Candidates based in LATAM, Africa, and Eastern Europe are welcome to apply. This fully remote role supports U.S.-based clients, so working hours align with 9 AM to 5 PM EST. Scale Army Careers is recruiting for an AI-focused media and enablement company dedicated to expanding access to artificial intelligence for communities, businesses, and leaders who have been underrepresented in the tech sector. The organization delivers content, training, and large-scale events, all supported by an AI-first infrastructure. Their mission is to provide practical AI solutions that scale and create tangible impact. Location and Schedule This position is remote from Egypt or select global regions. Work hours are 9 AM to 5 PM EST to support U.S.-based clients. Role overview The AI Systems Builder designs, develops, and maintains AI-native systems to automate social media, streamline internal operations, and improve workflow efficiency. This role is suited for someone comfortable working independently, able to navigate ambiguity, and interested in building and refining AI agent solutions for practical use. Key responsibilities AI Agent Development Develop and manage AI social media agents that monitor performance, generate content drafts, and handle scheduled publishing. Create agents for internal communication, workflow automation, data aggregation, and task delegation. Deploy agents using Claude Code, Cowork, and relevant APIs, overseeing projects from initial build to production. Design and maintain evaluation metrics to ensure agent outputs meet standards for quality, accuracy, and edge-case handling before deployment. Refine agent logic in response to real-world feedback and performance data. Internal Workflow and Operations Automation Identify manual processes and recommend AI-based automation solutions. Implement and maintain communication and workflow systems to reduce friction and enhance team productivity. Integrate tools via APIs and plugins, including Claude Code plugins, Slack, ClickUp, and other platforms. Document systems and processes thoroughly to support knowledge sharing and onboarding.
Top 3 Reasons To Join UsFully Remote Work EnvironmentDynamic International TeamOpportunity to Innovate with Cutting-Edge Technology in the Insurtech SectorAbout CoverGoAt CoverGo, we are on a mission to revolutionize the insurance industry by making insurance fully digital and accessible to everyone. We are recognized as a premier no-code insurance platform catering to health, life, and property & casualty (P&C) insurance.Awarded Insurtech of the Year in Asia and several other global accolades.Our esteemed clientele includes AXA, Bupa, MSIG, Dai-ichi, and Bank of China Group Insurance.Our diverse team consists of over 120 professionals from 30 different nationalities, all working remotely from various locations worldwide.Backed by reputable venture capital firms and institutional investors, we have a solid financial foundation.We proudly maintain a global footprint across Asia, EMEA, and the Americas.Since January 2021, we have achieved over 30x growth in our annualized revenue.We foster a vibrant workplace culture, believing that diversity of thought and experience is essential to building a thriving community.Your Role as Lead Full Stack EngineerAs a Lead Full Stack Engineer at CoverGo, you will be pivotal in shaping the technical direction and execution of our high-caliber insurance platform. Your role will encompass hands-on development while leading and mentoring a team of engineers, particularly in integrating AI-driven solutions to advance our technological capabilities.Your responsibilities will include making architectural decisions, establishing development standards, and promoting innovation with a focus on scalable software design, team performance, and continuous integration. Your leadership will align technology initiatives with our business objectives, delivering impactful and intelligent solutions.Your ResponsibilitiesOversee the complete development lifecycle of our SaaS platform, from design through implementation to deployment and maintenance, ensuring alignment with technical and business requirements.Provide guidance and mentorship to Full Stack Engineers, supporting their professional growth through constructive feedback and knowledge sharing.Define and implement the technical strategy for AI integration, collaborating with product and data teams to deliver AI-enhanced features that boost automation and user experience.Research and assess new AI models, frameworks, and APIs (e.g., OpenAI, Hugging Face, Google AI), overseeing the creation of AI proofs-of-concept (POCs) to test innovative concepts.Work closely with product managers, designers, and other stakeholders to ensure successful project delivery.
