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    Job · 22083282

    Straive logo

    Senior/Lead AI Engineer

    Straive · Bengaluru · onsite · Posted 6d ago

    Not disclosed6–9 yrsfulltimeSourced fromFoundit

    About a minute. You'll make an account on the way through.

    About this role

    Job Description - Sr. Gen AI Engineer / Lead Gen AI Engineer

    Location - Bengaluru/Gurgaon/Hyderabad/Chennai/Noida/Pune/Mumbai

    Work Mode- Hybrid

    About Us

    Straive is a global leader in data analytics and AI operationalization, helping enterprises embed advanced AI and data capabilities into core business workflows to deliver measurable business outcomes and ROI. With a workforce of 20,000 professionals serving 350+ clients across 30+ markets, Straive combines technical scale with deep domain expertise. A key differentiator is its network of over 6,000 subject matter experts who specialize in managing and enriching complex, unstructured data enabling organizations to build AI systems grounded in accuracy, context, and business relevance.

    The company continues to earn recognition from leading industry analysts and was recently named a Leader in AIM's 2026 Generative AI and Data Engineering PeMa Quadrants. Backed by EQT a purpose-driven global investment organization which was ranked among the world's leading private equity firms by PEI in 2025 Straive is positioned as a high-value alternative to traditional IT services providers, combining domain-led intelligence with AI execution at scale.

    Job Description

    We are seeking a highly technical, hands-on Sr. Gen AI Engineer / Lead Gen AI Engineer to drive the design, development, and deployment of production-grade Generative AI applications. In this dual-impact role, you will act as a primary individual contributor architecting core AI engines while simultaneously leading engineers through task allocation, code reviews, and technical mentorship. The ideal candidate bridges the gap between state-of-the-art AI research (LLMs, Agentic frameworks, Advanced RAG, OCR) and production-grade full-stack engineering (Python, FastAPI, React).

    Key Responsibilities

    • Generative AI & Agentic Systems: Architect, build, and optimize LLM-powered applications, multi-agent workflows (e.g., CrewAI, AutoGen, LangGraph), and autonomous AI agents.
    • RAG & Document Intelligence: Design and deploy advanced RAG architectures and document processing pipelines utilizing OCR techniques (e.g., LayoutLM, PaddleOCR, Tesseract, Azure Document Intelligence) and Vision LLMs to extract structured data.
    • Backend Microservices: Build robust, asynchronous, high-throughput microservices and RESTful APIs using Python and FastAPI.
    • Frontend Integration: Collaborate on or build modern web interfaces using React (e.g., Control Towers, operations dashboards, interactive chat interfaces).
    • MLOps & Infrastructure: Oversee model deployment, prompt engineering, fine-tuning, vector database integration (Pinecone, Qdrant, Chroma, PGVector), and cloud infrastructure setup (Azure/AWS).
    • Technical Oversight: Lead a team of AI, backend, and full-stack engineers; allocate tasks, establish sprint priorities, and ensure timely delivery.
    • Conduct rigorous code reviews: To maintain high engineering standards, security, performance, and scalability across AI and full-stack codebases.

    Required Experience and Qualifications

    • Overall Experience: 6 to 9 years of professional software engineering experience.
    • AI/ML Domain Experience: 3+ years of dedicated, hands-on experience building and deploying AI/ML, OCR, and Generative AI solutions in production.
    • Core Technical Stack:
    • Generative AI & LLMs: Extensive experience with commercial and open-source LLMs (OpenAI, Anthropic Claude, Llama), Agentic frameworks (LangChain, LlamaIndex, AutoGen, CrewAI), and LLM evaluation frameworks (LangSmith, TruLens, RAGAS).
    • RAG & Unstructured Data: Strong knowledge of hybrid search, re-ranking, chunking strategies, vector databases, and document intelligence workflows.
    • OCR & Vision Techniques: Hands-on experience with OCR engines (Tesseract, PaddleOCR, Azure Document Intelligence) and Multi-Modal/Vision LLMs.
    • Backend: Deep expertise in Python and asynchronous frameworks (FastAPI, AsyncIO).
    • Frontend: Working proficiency in React (TypeScript/JavaScript) for building interactive web UI components.
    • Cloud & DevOps: Hands-on experience with cloud platforms (Azure / AWS), Docker, Kubernetes, and CI/CD pipelines.

    Recognition & Achievements

    • We have been recognized as a Star Performer in Data & AI Services Specialists - Everest's North America PEAK Matrix 2025, and as a Leader in AIM's Pema Quadrant of Agentic AI Service Providers - 2025.
    • In Nov 2023, Straive acquired Gramener, an award-winning, design-led data science company, enhancing our data, analytics, and AI capabilities. In June 2025, we acquired SG Analytics, a leading provider of AI-powered insights and contextual analytics services.

    For more information, please visit our Website https://www.straive.com/

    Join Us Today

    Ready to make an impact Join Straive and redefine the future of business and technology, where you can thrive and lead.

    Straive is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.

    Sourced from foundit

    Skills

    DockerKubernetesRetrieval Augmented Generationamazon web servicesagentic frameworksLarge Language Models (LLMs)PythonReact.JsOCRMicrosoft AzureGenerative AiCi/CdFastAPI

    About Straive

    Straive logo

    Straive

    IT Services & Consulting

    10.7k+

    employees

    1980

    46 years old

    Singapore

    Singapore

    About

    Straive is a market leading Content, Data and e-learning/Ed-Tech solutions company.

    Industries

    IT Services & Consulting

    Employee ratings

    2,321 reviews

    3.3/ 5

    Culture

    3.3

    Career growth

    2.5

    Work-life

    3.4

    Employees rate it well for

    Salary388Appraisal233Work Environment227Work Life Balance207Senior Management155

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