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Join our innovative team at Telnyx as an AI Integrations Engineer. In this pivotal role, you will leverage cutting-edge AI technologies to develop and implement integrations that enhance our communication solutions. You will work collaboratively with cross-functional teams to optimize processes and drive AI initiatives that propel our business forward.
Telnyx is a pioneering telecommunications company dedicated to revolutionizing communication through innovative technology. Our mission is to empower businesses with seamless, reliable, and scalable communication solutions. Join us in shaping the future of connectivity!
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Please submit your CV in English and specify your English proficiency level.Toloka AI is at the forefront of AI technology, connecting skilled professionals with exciting project-based opportunities in collaboration with top tech firms. Our focus lies in the testing, evaluation, and enhancement of AI systems. Note that participation is on a project basis, ra…
Please submit your CV in English and indicate your English proficiency level. toloka-ai, working with Mindrift, offers project-based freelance roles for professionals in Vietnam with expertise in optics and physics. This remote contract position supports AI system development by designing and evaluating challenging problems rooted in real-world research. The work is not a permanent job but is structured around specific projects. Role overview This freelance optical engineer role centers on creating and assessing advanced optics and physics problems for AI development. Tasks involve designing scenarios that reflect authentic research challenges, often requiring computational approaches that go beyond manual calculation. What you will do Develop original optics problems modeled after current physics research workflows Design computationally demanding problems that cannot be solved manually within days or weeks Create problems involving complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics Base each problem on real research challenges or practical applications in optics and physics Write clear problem statements and supply verified, accurate solutions Requirements Degree in Physics (theoretical, experimental, or computational) or a closely related field Minimum 2 years of experience in applied, research, or teaching roles Understanding of numerical simulation methods Skill in designing problems that reflect real research workflows Creativity in problem design across multiple physics domains Familiarity with physics modeling and approximation techniques Written English proficiency at C1 level or higher How to apply Submit your CV If qualified, join a project Complete assigned tasks Receive payment Time commitment During active project phases, tasks typically require about 10–20 hours per week. Actual hours may vary with project needs and are not guaranteed. Compensation Earn up to $35 per hour, depending on contribution and pace. Pay rates may change by project based on scope, complexity, and required expertise.
Join Glacis AI as a Founding Software Engineer and be a driving force behind our innovative Agentic AI solutions. In this role, you will leverage your expertise in software development to design, implement, and enhance our AI-driven applications. Work closely with a talented team of engineers and data scientists to build cutting-edge technologies that impact various industries.
AvePoint
Job Overview:Join our dynamic team as a Junior AI Engineer and contribute to the development of cutting-edge neural network, machine learning, natural language processing (NLP), and big data technologies. You will work on innovative products including chatbots, search engines, and data analysis systems.Play a pivotal role in collecting, cleaning, and preparing large-scale datasets essential for training AI models.Engage in research and practical application of machine learning, deep learning, and big data technologies to build and refine AI solutions.Assess model performance and recommend optimization strategies to enhance efficiency and effectiveness.Utilize C# and Python to develop and maintain AI-related functions and features.Collaborate with team members on various projects and product implementations, focusing on the integration of AI with big data technologies.Integrate AI services from major cloud platforms including Google Cloud, AWS, and Azure.
Telnyx
Join our innovative team at Telnyx as an AI Integrations Engineer. In this pivotal role, you will leverage cutting-edge AI technologies to develop and implement integrations that enhance our communication solutions. You will work collaboratively with cross-functional teams to optimize processes and drive AI initiatives that propel our business forward.
Overview: Join our innovative team at Tyme as a Senior AI-Driven Product Engineer, where you will leverage artificial intelligence to revolutionize product development. We seek a highly skilled engineer with substantial backend engineering experience, adept at integrating both frontend and backend systems, as well as customer service and operations portals utilizing AI technologies. In this pivotal role, you will champion an AI-first approach to product engineering, continuously re-evaluating existing processes and engineering principles while engaging in rapid experimentation to maximize customer value. This position offers an exhilarating opportunity for individuals eager to push the boundaries of product innovation and AI-infused workflows.Top 5 Reasons to Choose a Career with UsInnovative Environment: Engage with cutting-edge technologies, including Serverless AWS, Java, and Python, in an AI-driven engineering landscape.Significant Impact: Contribute to products that promote financial inclusivity and accessibility in emerging markets.Collaborative Culture: Be part of a progressive team that champions innovation, collaboration, and ongoing learning.Attractive Benefits: Receive a comprehensive benefits package, opportunities for professional growth, and a well-balanced work-life structure.Continuous Learning: Access resources for personal development, including SMART goals, technical workshops, conferences, and training sessions to advance your career.Key Responsibilities:Lead the integration of an AI-first strategy, utilizing AI tools and prompt engineering to streamline processes and enhance time-to-value for our products.Proactively challenge project requirements to ensure we are developing the most relevant and effective solutions.Collaborate closely with a pioneering AI-first product development team to build and scale innovative financial products that deliver substantial impact from the outset.Assume end-to-end ownership of product lifecycle: design, validate, and enhance systems based on customer insights.Innovate with a startup mentality—lead product development from concept to deployment, consistently testing, learning, and refining with each iteration.Manage the complete product lifecycle: prioritize, define, design, build, test, run, and own the product.
This is a position at Qode's Client.About the RoleWe are on the lookout for a talented Senior AI Engineer who possesses a robust academic background and extensive technical knowledge in AI. This role is primarily focused on transforming cutting-edge research into efficient production banking systems. With 80% of your time dedicated to engineering excellence—deploying models, optimizing infrastructure, ensuring system reliability, and tackling real-world implementation challenges—and 20% on keeping abreast of the latest AI advancements and technologies, you'll be instrumental in connecting top-tier AI research with scalable solutions in the financial services domain.Key ResponsibilitiesAI Engineering & Deployment (80%):Design, develop, and implement production-ready AI/ML systems on AWS, with an emphasis on reliability, scalability, and performance tailored for banking applications.Establish and maintain MLOps pipelines utilizing AWS services (SageMaker, Bedrock, Lambda, Step Functions), focusing on model versioning, monitoring, and automated retraining workflows.Construct and fine-tune AI solutions leveraging AWS Bedrock, OpenAI API, and Gemini API, integrating Model Context Protocol (MCP) and Agent-to-Agent (A2A) protocols for diverse banking applications.Create and implement prompt engineering frameworks and management systems for LLM-driven applications.Develop graph analysis solutions for fraud detection, customer relationship mapping, and network analysis within banking contexts.Diagnose and troubleshoot production AI systems, addressing issues related to model performance, data pipelines, and AWS infrastructure.Establish and uphold AIOps practices, including automated monitoring, alerting, and incident response for AI systems on AWS.Optimize model serving infrastructure for latency, throughput, and cost-effectiveness using AWS services.Implement robust data pipelines using AWS Glue, Kinesis, and similar services for training and inference.Collaborate with software engineering and risk teams to fuse AI capabilities into banking products and services.Ensure adherence to banking regulations and security standards across all AI deployments.Monitor model performance in production, executing drift detection and retraining strategies.AI Research & Innovation (20%):Stay updated with the latest AI research papers and breakthroughs, assessing their relevance to banking and financial services.Explore and prototype emerging AI architectures and techniques for financial applications.Evaluate novel paradigms in model training, inference optimization, and architectural innovations.Share insights through technical discussions, paper reviews, and internal research presentations.Identify opportunities to integrate cutting-edge research to enhance fraud detection, customer service, risk assessment, and other banking operations.
Codelink
Codelink is seeking a talented and motivated Full-Stack AI Engineer with mid-level experience to join our dynamic team in Hanoi. The ideal candidate will have a strong background in Python and frameworks such as Pytorch or Tensorflow. As part of our innovative projects, you will work with advanced models in areas like LLM, NLP, and computer vision.Your ResponsibilitiesEngage with stakeholders to assess and implement AI/ML solutions in existing systems.Deploy, monitor, and maintain AI/ML systems in production environments.Manage data processing, extraction, and additional tasks in ETL pipelines.Contribute to back-end development for AI and data-driven features.
Join us as a Senior AI Engineer at Tyme, where your expertise in artificial intelligence will help revolutionize banking systems. We are looking for a skilled professional with a robust academic background and extensive technical knowledge, adept at transforming advanced research into practical banking applications. In this pivotal role, 80% of your time will focus on engineering excellence—deploying AI models, optimizing infrastructure, ensuring system reliability, and addressing real-world implementation hurdles. The remaining 20% will involve keeping abreast of the latest AI research and technologies. You will play a critical role in bridging the gap between cutting-edge AI research and scalable production systems in the financial services industry.Key ResponsibilitiesAI Engineering & Deployment (80%)Design and implement production-ready AI/ML systems on AWS, emphasizing reliability, scalability, and performance for banking applications.Manage MLOps pipelines utilizing AWS services (SageMaker, Bedrock, Lambda, Step Functions) for model versioning, monitoring, and automated retraining workflows.Develop and enhance AI solutions utilizing AWS Bedrock, OpenAI API, and Gemini API, integrating Model Context Protocol (MCP) and Agent-to-Agent (A2A) protocols for diverse banking applications.Create and refine prompt engineering frameworks and management systems for LLM-based applications.Construct graph analysis solutions for fraud detection, customer relationship mapping, and network analysis within the banking sector.Debug and troubleshoot AI systems in production, identifying and rectifying issues related to model performance, data pipelines, and AWS infrastructure.Establish and maintain AIOps practices, including automated monitoring, alerting, and incident response for AWS-based AI systems.Optimize model serving infrastructure for latency, throughput, and cost-effectiveness using AWS services.Develop robust data pipelines using AWS Glue, Kinesis, and related services for training and inference.Collaborate with software engineering and risk teams to integrate AI functionalities into banking products and services.Ensure adherence to banking regulations and security protocols in all AI deployments.Monitor model performance in production and implement strategies for drift detection and retraining.AI Research & Innovation (20%)Keep updated with the latest AI research, evaluating its relevance to banking and financial services.Conduct research and prototype new AI architectures and techniques suitable for financial applications.Assess innovative approaches in model training, inference optimization, and architectural advancements.Share insights through technical discussions, paper reviews, and internal research presentations.Identify opportunities to leverage cutting-edge research to enhance fraud detection, customer service, risk assessment, and other banking functions.
OPSWAT stands at the forefront of cybersecurity, specializing in IT, OT, and ICS critical infrastructure protection. Our innovative end-to-end platform empowers both public and private sector organizations worldwide, helping them secure their complex networks and ensure compliance. Over the past two decades, we have earned the trust of over 1,700 organizations, governments, and institutions globally, solidifying our critical role in safeguarding essential infrastructures and enhancing global security.Position OverviewAt OPSWAT, we are dedicated to leveraging the potential of AI to foster significant advancements across our business operations. We are in search of a talented Senior AI Engineer to spearhead and support the development of AI-centric initiatives, particularly focusing on the integration of our proprietary AI Insights go-to-market platform with various enterprise systems.In this role, you will collaborate closely with our Digital Transformation Team, Customer Experience (CX) Team, and Enterprise & Data Team to embed AI capabilities within CRM and other vital business platforms. This is a unique opportunity to be a pioneer in AI innovation within a global cybersecurity firm, delivering transformative solutions that enhance operational efficiency, intelligence, and customer satisfaction.
Join our dynamic AI Squads as a Software Engineer. You will play a crucial role in developing innovative AI solutions that enhance our communication platform. Collaborate with cross-functional teams to design, implement, and optimize algorithms that drive efficiency and functionality in our products.
Join our innovative team at Tyme as a Senior AI Engineer, where your academic excellence and technical prowess will play a critical role in transforming groundbreaking AI research into robust banking systems. This position is primarily focused on engineering excellence—80% of your time will be dedicated to deploying models, optimizing infrastructure, ensuring reliability, and addressing real-world implementation challenges, while the remaining 20% will involve staying abreast of the latest advancements in AI research and technologies. As a key player, you will serve as the bridge between cutting-edge AI research and scalable production systems within the financial services industry.Key ResponsibilitiesAI Engineering & Deployment (80%)Design, construct, and deploy production-ready AI/ML systems on AWS, emphasizing reliability, scalability, and performance for banking applications.Implement and manage MLOps pipelines utilizing AWS services such as SageMaker, Bedrock, Lambda, and Step Functions, encompassing model versioning, monitoring, and automated retraining workflows.Create and optimize AI solutions by leveraging AWS Bedrock, OpenAI API, and Gemini API, integrated with Model Context Protocol (MCP) and Agent-to-Agent (A2A) protocols for diverse banking use cases.Architect and implement prompt engineering frameworks and management systems for LLM-based applications.Develop graph analysis solutions aimed at fraud detection, customer relationship mapping, and network analysis within banking contexts.Debug and troubleshoot AI systems in production, addressing issues related to model performance, data pipelines, and AWS infrastructure.Establish and maintain AIOps practices, including automated monitoring, alerting, and incident response for AI systems on AWS, optimizing model serving infrastructure for latency, throughput, and cost-efficiency.Implement rigorous data pipelines using AWS Glue, Kinesis, and related services for training and inference while collaborating with software engineering and risk teams to integrate AI capabilities into banking products and services.Ensure adherence to banking regulations and security standards in all AI deployments.Monitor model performance in production and establish drift detection and retraining strategies.AI Research & Innovation (20%)Stay updated with the latest AI research papers and breakthroughs, assessing their relevance to banking and financial services.Conduct research and prototype emerging AI architectures and techniques tailored for financial applications.Evaluate novel approaches in model training, inference optimization, and architectural innovations.Share insights through technical discussions, paper reviews, and internal research presentations.Identify opportunities to leverage cutting-edge research to enhance fraud detection, customer service, risk assessment, and other banking operations.
About Us:Become a part of our groundbreaking AI team at Tyme, where we are dedicated to developing and integrating AI-driven solutions within a modern banking ecosystem. Utilizing state-of-the-art technologies such as AWS Cloud, microservices, OpenAI, and event-driven architectures, we strive to deliver scalable, reliable, and efficient systems that transform financial services for our customers.Role Overview:In the capacity of an AI Backend Engineer, you will be instrumental in the design, development, and maintenance of backend services that empower AI-enhanced products and solutions. Your collaboration with cross-functional teams will ensure seamless integration of these solutions across various banking applications. This position requires a robust technical foundation in backend development, microservices, and cloud-based solutions, alongside a genuine interest in the application of AI in finance.Responsibilities: Develop AI applications and facilitate integration within Tyme’s ecosystem. Work collaboratively with AI, data, and platform teams to incorporate AI models and solutions into a microservices architecture. Implement microservice communication through REST APIs, event-driven mechanisms (e.g., Kafka, MSK, AWS Service Bus), and other integration tools. Create and manage serverless applications utilizing AWS Lambda, Python, and FastAPI. Architect, develop, and deploy backend services with a focus on scalability, performance, and reliability. Ensure the security, performance, and scalability of services in distributed systems. Address complex technical challenges associated with AI integration into banking systems. Engage in code reviews, design discussions, and technical planning to uphold engineering excellence. Monitor, troubleshoot, and optimize backend services using AWS tools like CloudWatch, X-Ray, and others.
Bosch Group
Join Bosch Group as an AI Engineer in our R&D department, where you'll contribute to innovative projects utilizing advanced artificial intelligence technologies. Your expertise will be vital in developing solutions that enhance our product offerings and elevate user experiences.
We invite you to submit your CV in English, including your level of English proficiency.At Mindrift, we specialize in connecting talented professionals with project-based AI opportunities at leading technology companies. Our focus is on enhancing, evaluating, and improving AI systems. Please note: Participation is based on project engagement rather than permanent employment.Role Overview:The tasks involved in each project are diverse. As a contributor, you may be responsible for:Creating prompts that effectively challenge AI capabilities;Assessing AI-generated outputs for accuracy, logical consistency, and underlying assumptions;Enhancing AI reasoning to align with foundational principles and established standards;Utilizing structured scoring criteria to evaluate complex problem-solving skills.Candidate Profile:This position is ideal for legal consultants and attorneys with experience in US law who are open to part-time, project-based roles. We are looking for candidates who meet the following criteria:A law degree (Bachelor, J.D., LLM, FLLM) relevant to the US legal context;At least 2 years of legal practice experience within US jurisdiction;Exceptional written English skills (C1/C2 level);A reliable internet connection.How to Get Started:1. Apply → 2. Pass qualifications → 3. Join a project → 4. Complete assigned tasks → 5. Receive paymentProject Commitment:During active phases, tasks are estimated to require approximately 10–20 hours per week, depending on project specifications. This is an estimate and not a guaranteed workload.Compensation:Contributors can earn up to $44 per hour, based on their skill level and the pace of their contributions. Compensation may vary across different projects, depending on their complexity and expertise required.
Renesas Electronics Corporation
Job Summary:Join Renesas Electronics as a Senior/Staff Embedded Application Engineer in the rapidly advancing field of AI Robotics. In this pivotal role, you will be at the forefront of developing, integrating, and deploying cutting-edge embedded solutions tailored for robotic applications. Your expertise with high-performance SoC platforms will be crucial as you utilize your knowledge of hardware-software co-design, real-time systems, and AI/computer vision integration.Key Responsibilities:Craft and optimize software stacks across diverse architectures, including Arm Cortex-A, Cortex-R, and Cortex-M cores on R-Car and RZ SoCs.Design and implement AI-driven robotic applications leveraging R-Car and RZ SoCs.Integrate and enhance AI/ML models on specialized hardware accelerators such as NPU, DSP, and GPU.Develop real-time control algorithms and middleware for robotic systems using ROS2 and Linux.
Join Keyloop, where we connect dealerships, manufacturers, technology providers, and car buyers.We empower automotive dealers and manufacturers to embrace digital transformation through innovative technology that enhances the car sales process and improves the customer experience in buying and owning vehicles. Utilizing cutting-edge technology, we connect our clients' systems, departments, and locations, offering an open technology platform that is shaping the future of the industry. Our data-driven approach helps clients enhance efficiency, boost profitability, and provide exceptional customer experiences. Are you ready to make an impact? In this pivotal role, you will be part of a collaborative team at the intersection of AI engineering and customer service excellence. As an AI Solutions Engineer within the Customer Enablement (CE) organization, you will be instrumental in realizing Keyloop’s vision for AI-powered customer operations — developing, optimizing, and scaling intelligent agents to enhance efficiency across our global support and service operations.You will collaborate closely with CE leaders, functional heads, and cross-functional teams to design and implement a unified program of AI-driven solutions that minimize effort, speed up resolutions, enhance customer outcomes, and elevate the capabilities of our AI agents. This role is a part of Keyloop’s expanding Global Delivery Hub in Vietnam.
Bosch Group
Join Bosch Group as a Senior AI Engineer where you will play a pivotal role in developing innovative artificial intelligence solutions that enhance our products and services. You will work in a collaborative environment, leveraging cutting-edge technologies to drive advancements in AI applications.
toloka-ai seeks a Senior Consultant for a freelance project focused on AI. This position is open to professionals based in Vietnam and offers the flexibility of remote work. Role overview This role draws on experience from top consulting firms, including MBB, to guide the development of AI solutions. The Senior Consultant will work closely with specialists from various backgrounds to influence project direction and results. What you will do Use insights and methods gained at MBB or other leading consultancies to steer AI project development Partner with a range of experts to help shape key project decisions and outcomes Requirements Background in consulting at MBB or another top-tier firm Proven ability to deliver on complex assignments Comfort working independently and as part of a distributed, remote team Location This is a remote role for candidates based in Vietnam.
Please submit your CV in English and include your English proficiency level. Mindrift connects professionals with project-based AI work for technology companies. This freelance, project-based position focuses on testing, evaluating, and improving AI systems. The role is not permanent. Role overview The Legal Advisor (US Bar Admitted) - Freelance AI Trainer works on AI development projects. Assignments may change, but typical responsibilities include: Designing prompts to test AI performance Reviewing AI-generated legal content for accuracy, assumptions, and reasoning Improving AI reasoning to align with core legal principles and standards Evaluating complex, multi-step problem-solving using structured criteria Requirements Law degree relevant to the US (Bachelor, J.D., LLM, or FLLM) At least 2 years of legal practice in the US Strong written English (C1/C2 level) Stable internet connection Who this role suits This project fits legal consultants or attorneys with experience in US law who want flexible, part-time work. Project commitment During active phases, expect to contribute about 10 to 20 hours per week. Actual hours may vary based on project needs. Application process Application Qualification assessment Project onboarding Task completion Compensation Compensation Contributors may earn up to $44 per hour, depending on expertise and pace. Pay varies by project scope, complexity, and required skills.
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