Senior AI Engineer - Remote Position at Jitterbit

At Jitterbit, we are actively looking for a Senior AI Engineer to enrich our AI team. As a leading iPaaS (Integration as a Service), LCAP, and API Management platform consistently recognized in Gartner MQ for seven consecutive years, we empower our clients to navigate and automate their business processes seamlessly. Your role will be pivotal in crafting a d…

Role Overview Jitterbit is hiring a Senior Backend Software Engineer to help build and maintain backend systems that support business integration. This remote role is based in Bengaluru and focuses on designing solutions that improve efficiency and reliability. What You Will Do Develop and enhance backend systems that support integration products Work with a collaborative team focused on backend architecture and performance Contribute to solutions that help businesses operate more smoothly

Join our dynamic team at nerdy as a Senior Software Engineer specializing in AI-native technologies. In this pivotal role, you will leverage your expertise to develop innovative AI solutions, contributing to transformative projects that impact millions. Collaborate with cross-functional teams to design, build, and maintain scalable software applications that push the boundaries of what's possible with AI.

Join our innovative team as a Senior Generative AI Engineer for one of Weekday's esteemed clients.Salary range: ₹30,00,000 - ₹40,00,000 per annumMinimum Experience: 4 yearsLocation: BengaluruJob Type: Full-timeIn this pivotal role, you will spearhead the AI component of our product, crafting intelligent functionalities tailored for enterprise clients. Your focus will be on delivering robust, production-ready AI systems that prioritize reliability, observability, and comprehensive evaluations. You will oversee the complete process from model development to user interface, rolling out impactful features such as the CS Copilot and advanced document understanding capabilities.Key ResponsibilitiesDevelop and lead the CS Copilot initiative, focusing on speech-to-text (STT) pipelines, real-time transcription, and LLM-based recommendations.Design LLM-enabled document comprehension features to derive structured data from unstructured enterprise documentation.Oversee the end-to-end management of AI feature user interfaces, integrating model functionalities seamlessly.Create and uphold a robust evaluation framework to assess AI feature quality and identify potential regressions.Guide model selection and integration strategies, balancing performance with cost-effectiveness.Ensure the reliability of the AI platform by establishing observability, fallback protocols, and graceful degradation methods.Work collaboratively with product teams, customer success representatives, and full-stack engineers to improve usability and foster user trust.

Our PurposeAt Fiddler, we recognize the profound impact of AI on human lives. Our mission is to instill trust in AI technologies. With the emergence of Generative AI and Agents, while the potential for generalized intelligence has expanded, so too have the associated risks, making it crucial to ensure the effective operation of AI applications. Fiddler empowers organizations to proactively address these challenges by providing reliable and transparent AI solutions.Fiddler collaborates with AI-centric organizations to establish sustainable frameworks for responsible AI practices, thus fostering trust among their user bases. AI Engineers, Data Scientists, and business teams utilize Fiddler AI to monitor, assess, secure, analyze, and enhance their AI solutions to achieve superior outcomes. Our platform equips engineering teams and business stakeholders with insights into the 'what', 'why', and 'how' behind AI results.Our FoundersFiddler AI was founded by Krishna Gade, an engineering leader with experience at Facebook, Pinterest, Twitter, and Microsoft, along with Amit Paka, a product leader at Microsoft, Samsung, PayPal, and a two-time founder. We are supported by Insight Partners, Lightspeed Venture Partners, and Lux Capital.Why Join UsOur team is dedicated to fostering trust in AI, helping society harness its power responsibly. By joining us, you will have the opportunity to make impactful contributions by ensuring that AI applications deployed at production scale across various industries maintain operational transparency and security. As an early-stage startup, we boast a rapidly growing team of intelligent and empathetic innovators, thinkers, creators, builders, and more. The fast-paced nature of the AI and ML industry offers immense learning opportunities, making this an exciting chance to be a pioneer in the field.Fiddler is recognized as a leader in AI Observability, garnering numerous accolades, including: 2022 a16z Data50 list, 2021 CB Insights AI 100 most promising startups, 2020 WEF Technology Pioneer, 2020 Forbes AI 50 most promising startups, and a 2019 Gartner Cool Vendor in Enterprise AI Governance and Ethical Response. By joining our exceptional team, you will play a pivotal role in shaping the future of AI Observability.‍ The MissionThe Platform Engineering team at Fiddler AI serves as the driving force behind product velocity and customer success. We design and provide self-service tools and infrastructure that empower teams to innovate safely and at scale.

Konovo is a leading global healthcare intelligence firm dedicated to revolutionizing research through innovative technology, providing quicker, enhanced, and interconnected insights. With access to an extensive network of over 2 million healthcare professionals, Konovo stands as the largest of its kind on a global scale. Our diverse team of over 200 employees, spread across five countries—India, Bosnia and Herzegovina, the United Kingdom, Mexico, and the United States—collaborates to assist some of the most renowned names in the healthcare sector. Our clientele includes more than 300 prominent pharmaceutical companies, medical device firms, research organizations, and consulting agencies. As we shift from a service-oriented approach to a product-centric platform, we are expanding our hybrid team based in Bengaluru. We are in search of a Senior Applied AI Engineer to drive the next phase of our AI-native platform. AI is already integrated into our products and internal tools. In this role, you will enhance, scale, and operationalize these capabilities across our platform, data systems, and engineering workflows, ensuring production reliability and enterprise-level discipline. Collaborating with global engineering, data, and product teams, you will translate real business challenges into production-ready AI solutions. This is a hands-on position for an individual who comprehends both the potential and limitations of contemporary AI. You will design strategically, build pragmatically, and deploy responsibly. Your contributions will directly influence how our customers and employees engage with AI at Konovo. You'll work in an environment where AI decisions affect enterprise customers worldwide, adhering to high standards of reliability, compliance, and performance. AI serves as a strategic differentiator for Konovo, and as a globally scaled healthcare intelligence company, we strive to accelerate innovation while maintaining reliability, data integrity, and customer trust.

CSQ326R35 Mission The AI Forward Deployed Engineering (AI FDE) team at Databricks is a premier, customer-centric AI team dedicated to revolutionizing AI application development. We engage in professional service projects that empower our clients to create and deploy groundbreaking AI solutions. By collaborating across various functions—including engineering, product development, and developer relations—we help shape strategic initiatives that drive innovation. We are looking for dynamic individuals with distinct skill sets to enhance our team's capabilities. If you have a passion for collaborating with clients and colleagues while staying updated on the latest advancements in Generative AI, LLMOps, and Machine Learning, this role is perfect for you. This position is fully remote. Your Impact: Design and implement innovative Generative AI solutions using our Mosaic AI research to address complex client challenges. Take ownership of rolling out GenAI applications for both consumer and internal stakeholders. Act as a trusted technical consultant to clients across diverse sectors. Represent Databricks at industry events, including the Data + AI Summit, establishing yourself as a thought leader. Work collaboratively with product and engineering teams to influence development priorities and guide the product roadmap. What We Seek: Proven experience in creating Generative AI applications, including RAG, multi-agent systems, Text2SQL, and fine-tuning, utilizing tools like HuggingFace, LangChain, and DSPy. At least 5 years of relevant experience as a Data Scientist, ideally in a consulting capacity. Strong expertise in deploying production-level Generative AI applications, with a focus on evaluation and optimizations. Hands-on experience in data science, utilizing popular ML tools such as pandas, scikit-learn, and PyTorch. Experience with production-grade machine learning deployments on platforms such as AWS, Azure, or GCP. Graduate degree in a quantitative field (e.g., Computer Science, Engineering, Statistics, Operations Research) or equivalent practical experience. Ability to communicate technical concepts to both technical and non-technical audiences effectively. A passion for teamwork, continuous learning, and leveraging AI to create business value. [Preferred] Familiarity with the Databricks Intelligence Platform and Apache Spark™ for processing large-scale datasets.

About 2070health 2070health builds AI-first automation platforms for the healthcare and insurance sectors. The company focuses on interpreting unstructured conversations, documents, and workflows, aiming for autonomous execution of complex business processes that typically require human input. Specialties include domain-specific Small Language Models (SLMs) and carefully fine-tuned Large Language Model (LLM) pipelines. These solutions are designed for reliability in regulated, high-stakes settings such as US Healthcare Revenue Cycle Management (RCM). The technical approach centers on deterministic AI systems, combining prompt engineering, model fine-tuning, and agentic orchestration to support enterprise automation. Role Overview 2070health seeks a Senior AI Engineer based in Bengaluru, Karnataka. This position calls for deep expertise in prompt engineering, LLM fine-tuning, and SLM development. The engineer will design, train, optimize, and deploy language models tailored to specific domains. Key work includes developing high-performance prompts for 8B-class models such as LLaMA, Mistral, and Qwen, then evolving these prompts into fine-tuned models that meet production standards for reliability. Responsibilities also cover designing prompt architectures, instruction schemas, and evaluation pipelines. The goal: ensure models produce accurate, structured, and deterministic outputs that fit enterprise automation workflows.

About Nightfall AI:Nightfall AI is an innovative platform at the forefront of data loss prevention and insider risk management, designed to safeguard sensitive information across a wide range of applications including SaaS tools, email, endpoint devices, and generative AI technologies. Trusted by hundreds of clients, from pioneering AI companies to the world's leading financial institutions, we empower organizations to pursue innovation without compromising on data security. Our cutting-edge platform automates data loss prevention, allowing security teams to focus on strategic initiatives while automatically addressing violations before they escalate into incidents.Supported by prominent venture capital firms such as Bain Capital Ventures, Venrock, WestBridge Capital, and esteemed cybersecurity leaders, Nightfall AI is positioned for rapid growth and innovation.About the Role:We are looking for a dedicated and talented AI Engineer to join our dynamic AI Engineering team at Nightfall AI. You will collaborate with a team of exceptional engineers to design, develop, and optimize the AI models that are integral to our security solutions. This role offers the opportunity to work on the architecture and scalability of systems that underpin these models.If you have a passion for tackling complex challenges, experimenting with natural language processing architectures, and diving deep into system internals to create impactful solutions, this is an exciting opportunity to join us early in our journey and accelerate your career growth. Key ResponsibilitiesDevelop and deploy AI systems that enhance Nightfall's security offerings.Utilize Python for data analysis, experimentation with natural language and other model architectures, model benchmarking, and automation of training and deployment processes.Employ Go to create microservices that efficiently handle data ingestion and processing at scale, leveraging advanced streaming infrastructure and distributed caching techniques.Engage in cross-functional collaboration to enhance the performance and capabilities of our products.

At Beghou Consulting, we boast over 30 years of expertise in guiding life sciences companies to enhance their commercialization processes through strategic insights, cutting-edge analytics, and innovative technology solutions. We specialize in crafting go-to-market strategies, establishing robust data analytics infrastructures, and harnessing the power of artificial intelligence to elevate customer insights and engagement. Our comprehensive services enable life sciences firms to maximize their portfolio performance. With our headquarters in Evanston, Illinois, and 10 global offices, we are well-equipped to support our clients worldwide.Our mission is to unite analytical brilliance with transformative technology, aiding life sciences companies in navigating the complexities of healthcare to ultimately improve patient outcomes.In this pivotal role, you will be responsible for designing, developing, and deploying custom AI solutions for our pharmaceutical clientele. Collaborating closely with cross-functional teams, including data scientists, business consultants, and software developers, you'll translate complex challenges within the life sciences sector into innovative, AI-driven solutions.

Join AlphaSense as a Senior Software Engineer specializing in AI applications, where you'll develop innovative solutions that leverage artificial intelligence to enhance our platform. You will be part of a dynamic team, collaborating to build scalable and efficient software that empowers users with cutting-edge technologies.

We are on the lookout for a talented and experienced Senior Machine Learning Engineer with a strong focus on multimodal generative AI models, cross-modal architectures, and advanced multimodal fusion techniques. The ideal candidate will possess a robust technical foundation spanning text, vision, audio, and video modalities, alongside a passion for mentoring and promoting the integration of innovative technologies.

Senior Staff Engineer - AI SystemsLocation: Bengaluru (HSR)Compensation: ₹60–90 LPA + 0.5% – 3% EquityAbout Libra AIAt Libra AI, we are pioneering the AI Operating System for Work, establishing an integrated layer that seamlessly connects tools, comprehends contexts, and autonomously executes tasks.Having successfully secured a $1M pre-seed funding, we are assembling a dynamic, high-agency team to redefine the landscape of AI in the workplace.Role OverviewWe are seeking a Senior Staff Engineer to spearhead the architecture and development of our fundamental AI systems.This role combines deep individual contributor responsibilities with technical leadership, where you will be accountable for pivotal architectural decisions, construct foundational systems, and elevate the engineering standards across the organization.You will collaborate closely with the CEO and the founding team to transform visionary concepts into robust production systems.Key ResponsibilitiesDesign and oversee the core system architecture of AI and backend systems.Develop and scale LLM-driven systems (agents, RAG, orchestration layers).Create a unified context layer that enables semantic memory across tools and users.Enhance performance metrics, focusing on:LatencyCost efficiency (token and infrastructure)ReliabilityLead intricate technical projects from inception to completion.Establish best practices for code quality, system design, and scalability.Mentor engineers and elevate the overall technical standards.Collaborate with product and design teams to deliver rapid, high-quality systems.Qualifications6–10 years of engineering experience in relevant fields.Proven hands-on expertise in AI/LLMs (required).Extensive experience with backend systems (Node.js/Python preferred).Robust system design and architectural skills.Experience in building and scaling production systems.Strong problem-solving capabilities and a passion for technology.

Join our dynamic team at gsstech-group as a Senior Technology Engineer, where you will leverage your expertise in AI/ML platforms, MLOps, and scalable inference systems. In this pivotal role, you will be responsible for the design, deployment, and optimization of cutting-edge AI-driven solutions in both on-premises and cloud environments, with a particular emphasis on Generative AI and Large Language Model (LLM)-based applications.Key Responsibilities:Architect, develop, and sustain containerized applications utilizing OpenShift, OpenShift AI, Kubernetes, and Helm Charts.Integrate and fine-tune AI inference engines like Triton Inference Server and vLLM for optimal model serving performance.Oversee the complete model lifecycle management from deployment to monitoring, scaling, and maintenance in production settings.Implement comprehensive monitoring and alerting frameworks with tools such as Prometheus and Grafana.Collaborate on groundbreaking Generative AI and LLM initiatives, including Agentic AI systems.Establish and manage CI/CD pipelines using Jenkins, Ansible, Groovy, and Terraform.Create automation tools and scripts with Python to enhance system efficiency and reliability.Design and administer AI/ML solutions on AWS Cloud, utilizing services like Amazon SageMaker and AWS Bedrock (preferred).Enhance AI platforms across hybrid environments (on-premise and cloud).Ensure systems are scalable, resilient, and high-performing.Contribute to architectural design decisions and shape the future roadmap of AI platform capabilities.

Join our dynamic AdTech team as a Senior AI/ML Engineer, where you will play a pivotal role in the development and deployment of cutting-edge machine learning models and AI-powered features for our advertising platform. Collaborate with cross-functional teams including engineering, product management, and data science to create high-performance ML solutions aimed at enhancing campaign optimization, personalizing user experiences, and generating creative insights. You will be responsible for operating at scale, processing billions of ad events each day with a focus on low latency and high reliability.Key ResponsibilitiesMachine Learning Implementation: Design, implement, and deploy scalable ML solutions tailored for core AdTech functions such as targeting, ranking, pacing, and measurement. Navigate the entire lifecycle from experimentation to production.ML System Architecture: Develop and refine the ML lifecycle, ensuring seamless integration of models with ad serving systems while meeting stringent low-latency and high-throughput criteria.Technical Expertise: Influence the AI/ML technical roadmap by assessing and adopting advanced tools and methodologies (including deep learning and LLMs). Make informed decisions that prioritize maintainability and operational excellence.AI & Agentic Solutions: Create and integrate LLM-driven features and workflows that facilitate campaign management tasks like audience insights, bid recommendations, and creative generation, all within established guidelines.Collaborative Efforts: Engage closely with engineering, product, and data science teams to interpret marketing goals into ML-driven results, establish success metrics, and implement continuous improvements.Performance Optimization: Manage ML services in a high-concurrency environment, optimizing inference pathways, implementing monitoring and alerting systems, addressing model drift, and ensuring safe deployment practices.Mentorship & Standards: Guide and support fellow engineers through code and model reviews, promoting best practices in testing, documentation, and reproducible ML workflows.

Role Overview Nielsen is hiring a Lead Software Engineer (Senior AI Architect) in Bengaluru. This position centers on designing and building advanced software solutions that use artificial intelligence. The role involves setting technical direction and guiding the architecture for AI-driven projects. What You Will Do Lead the design and implementation of software systems that incorporate AI technologies Apply strong software engineering principles to create reliable, maintainable solutions Collaborate with other engineers and stakeholders to shape project direction What We Look For Extensive experience in software engineering Deep understanding of AI architecture and related technologies Ability to guide teams and drive technical progress

Senior AI EngineerLibra AI is revolutionizing the workplace with an innovative agentic work operating system that integrates 250+ workflows and semantic search capabilities, all running seamlessly in production. We are seeking a talented engineer proficient across the technology stack who can set technical direction and possesses a deep understanding of large language models (LLM).The RoleIn this hybrid role, you will serve as both an individual contributor and a technical lead. You will dive deep into coding the most challenging components of our stack while influencing the engineering team's approach to building and deploying solutions. Your responsibilities will include architecting and owning robust backend systems that facilitate scalable agentic workflows, including orchestration pipelines, retrieval layers, and evaluation infrastructure.QualificationsEssential Requirements:4 to 5+ years of substantial experience in software development, focusing on shipping production-level systems.Practical expertise with AI orchestration frameworks such as AI SDK, LangChain, or LlamaIndex.Strong knowledge of vector databases, retrieval-augmented generation (RAG) pipelines, embeddings, chunking strategies, and evaluation metrics.Foundational understanding of AI principles including quantization, attention mechanisms, tokenization, inference economics, and the trade-offs between fine-tuning and prompting.Proficiency in JavaScript and TypeScript; experience with the MERN stack is required.Experience designing scalable backend systems with asynchronous pipelines, queues, caching strategies, and database architecture.Demonstrable experience working on high-scale systems involving significant traffic, data, or concurrency.Excellent communication skills, capable of clearly articulating technical concepts and guiding team members.Proven leadership abilities, including mentoring engineers, making architectural decisions, and leading project teams.A genuine passion for AI. You actively engage with the AI community through research, personal projects, and a vibrant GitHub profile, ideally with AI-focused initiatives.Preferred Qualifications:Familiarity with DevOps tools and practices (Docker, Kubernetes, CI/CD, Infrastructure as Code).Previous experience in an AI-centric company or with large language model deployments.Knowledge of graph databases, agent frameworks, or multi-model routing.What We OfferCompetitive salary along with significant early-stage equity opportunities.A dynamic and collaborative work environment where innovation thrives.Opportunities for personal and professional growth.

About ContiinexContiinex stands at the forefront of AI-driven enterprise automation, specifically tailored for the healthcare and insurance sectors. Our platform is designed to comprehend complex, unstructured conversations, documents, and workflows, facilitating the autonomous execution of intricate business processes that typically require human intervention.We specialize in developing domain-specific Small Language Models (SLMs) coupled with finely-tuned LLM pipelines that excel in high-stakes, regulated environments such as the US Healthcare Revenue Cycle Management (RCM).Our architectural framework champions deterministic AI systems through advanced prompt engineering, model fine-tuning, and orchestration, thereby driving effective enterprise automation.Role OverviewWe are in search of a skilled Senior AI Engineer who possesses extensive knowledge in Prompt Engineering, LLM fine-tuning, and SLM development. The primary responsibility of this role will be to design, train, optimize, and deploy specialized language models.You will play a pivotal role in engineering high-performance prompts for 8B-class models such as LLaMA, Mistral, and Qwen, transitioning these prompts into fine-tuned models that ensure production reliability.Your tasks will include creating prompt architectures, instruction schemas, and evaluation pipelines to guarantee that the models deliver accurate, structured, and deterministic outputs suitable for enterprise automation workflows.

P-1385 In today's landscape, businesses are channeling substantial investments into the development and implementation of AI technologies and the data platforms that support them. However, do they truly understand the intricacies of their operations? At Databricks, we are dedicated to empowering data teams to tackle some of the most challenging global issues, from revolutionizing transportation to expediting medical innovations. We achieve this by constructing and maintaining the world's premier data and AI infrastructure platform, enabling our clients to leverage deep data insights to enhance their operations. Founded by engineers who prioritize customer satisfaction, we eagerly embrace every opportunity to confront technical challenges, including designing next-generation UI/UX for data interaction and optimizing our services across millions of virtual machines. And this is just the beginning. As a Senior Software Engineer on the Customer Foresight Team, you will spearhead the development of tools that empower customers to gain insights into their AI and data workloads, optimize performance, and reduce costs. You will craft data infrastructure capable of processing billions of entries daily, deploy across over 65 cloud regions globally, and support some of the world's most prominent companies in executing their DevOps, FinOps, SecOps, and AIOps operations. This role involves directing technical development throughout product milestones, from requirement refinement to execution, operation, and collaboration with the broader product development and partner teams to guarantee product success.

MongoDB is experiencing rapid growth and is increasingly being adopted by the most innovative and demanding companies and development teams in enterprise software worldwide. We are on the lookout for a Senior Staff Engineer to join our expanding Products & Technology team in Gurugram. This role will involve providing technical direction, overseeing architecture decisions, and implementing key components of a groundbreaking platform we are developing to simplify AI application building with MongoDB. In this pivotal role, you will offer technical leadership to teams working on advanced technologies that facilitate the scalable deployment of AI applications. You will engage in high-stakes, high-visibility projects aimed at enhancing the performance, scalability, and reliability of our distributed systems infrastructure for this innovative product. Our engineering teams at MongoDB are committed to crafting high-quality software while adhering to our core cultural values, including intellectual curiosity, integrity, and collaboration over competition. We are interested in candidates located in Bengaluru for our hybrid work model, but are also open to applicants from other locations, including Gurugram.