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    Job · 14787194

    BENGALURU · FULLTIME

    Forward Deployed Engineer - Agentic & Gen AI

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    datavruti

    Bengaluru · onsite · Posted 52d ago

    Sourced fromFoundit
    Not disclosed5–12 yrsfulltimeBengaluru

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    Section · 01

    About this role

    Hiring for: A US-based, AI-first data solutions company founded by seasoned technology leaders.

    Role: Forward Deployed Engineer - Agentic & Gen AI

    Positions: 1

    Experience: 5 to 12 years

    Location(s): Bangalore, Chennai

    Type: On-site, Remote / Permanent

    Salary: Up to INR 30 LPA

    Notice Period: 15 days

    About Role:

    We are looking for an experienced Forward Deployed Engineer – Agentic AI & Generative AI to work closely with clients, business stakeholders, and internal engineering teams to design, build, and deploy production-grade AI solutions.

    The ideal candidate will have strong hands-on expertise in Generative AI, LLMs, Agentic AI, Python, RAG, APIs, and enterprise integrations, combined with strong software engineering and problem-solving skills. The candidate should be comfortable working in ambiguous environments, rapidly prototyping solutions, and taking them through to production.

    Key Responsibilities:

    Forward Deployed Engineering

    • Work directly with clients to understand business challenges, workflows, and technical requirements.
    • Translate business requirements into scalable AI/GenAI solutions.
    • Design, develop, test, and deploy AI-powered applications and workflows.
    • Build rapid POCs and convert successful prototypes into production-ready solutions.
    • Work closely with client engineering teams, Data Scientists, ML Engineers, and Solution Architects.
    • Troubleshoot production issues and continuously optimize deployed solutions.
    • Act as a technical bridge between clients and internal delivery/engineering teams.

    Agentic AI & Generative AI

    • Design and develop AI agents and agentic workflows capable of multi-step reasoning, planning, tool usage, and task execution.
    • Develop solutions using LLMs such as Claude, OpenAI, Azure OpenAI, Gemini, or equivalent platforms.
    • Build RAG (Retrieval-Augmented Generation) applications using enterprise data.
    • Work with embeddings, vector databases, semantic search, and hybrid search.
    • Implement prompt engineering, structured outputs, function/tool calling, context management, and memory.
    • Develop AI-powered solutions for document processing, summarization, classification, information extraction, decision support, and workflow automation.
    • Develop and implement multi-agent workflows where applicable.

    AI Security & Governance

    • Design secure enterprise AI solutions with appropriate RBAC, ACLs, and data access controls.
    • Ensure that users can access only authorized information in RAG and agentic workflows.
    • Implement retrieval filtering, secure context construction, audit logging, and data privacy controls.
    • Evaluate AI applications for accuracy, relevance, hallucination, security, latency, and cost.
    • Implement appropriate guardrails and responsible AI practices.

    Engineering & Productionization

    • Develop production-grade applications and APIs using Python and modern software engineering practices.
    • Integrate AI solutions with enterprise applications, databases, APIs, and cloud platforms.
    • Implement CI/CD, Git, testing, monitoring, and deployment practices.
    • Optimize solutions for performance, scalability, reliability, and cost.
    • Work with cloud platforms such as AWS, Azure, or GCP.
    • Collaborate with Data Engineering and ML teams to productionize AI solutions.

    Required Skills & Experience

    • 5–12 years of experience in Software Engineering, Data Science, AI/ML Engineering, or related fields.
    • Strong hands-on experience with Generative AI and LLM-based applications.
    • Strong proficiency in Python.
    • Hands-on experience with Agentic AI / AI Agents.
    • Experience with RAG, embeddings, vector databases, and semantic search.
    • Experience with LLM APIs such as Claude, OpenAI, Azure OpenAI, or Gemini.
    • Strong understanding of REST APIs and enterprise system integration.
    • Experience building and deploying production-grade applications.
    • Strong understanding of AI evaluation, security, and governance.
    • Excellent problem-solving and client-facing communication skills.

    Preferred Skills

    • Experience with LangGraph, LangChain, LlamaIndex, CrewAI, AutoGen, or similar frameworks.
    • Hands-on experience with Claude / Anthropic APIs.
    • Experience with Databricks, Snowflake, or modern data platforms.
    • Experience with AWS, Azure, or GCP.
    • Experience with Docker, Kubernetes, and CI/CD.
    • Experience implementing AI guardrails and enterprise security.
    • Knowledge of multi-agent architectures and agent orchestration.
    • Experience working in consulting, solution engineering, or client-facing technical roles.

    Key Competencies

    • Strong builder and ownership mindset.
    • Ability to work effectively in ambiguous and fast-paced environments.
    • Strong client and stakeholder management skills.
    • Ability to quickly understand business problems and design practical solutions.
    • Excellent communication and presentation skills.
    • Strong systems thinking and technical problem-solving ability.
    • Ability to balance business value, technical feasibility, security, scalability, and cost.

    Education

    Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, Engineering, or a related discipline.

    Sourced from foundit

    Section · 02

    Skills

    Retrieval Augmented Generationcloud platformsapisgoogle cloud platformamazon web servicesSemantic Searchvector databasesEmbeddingsLarge Language Models (LLMs)enterprise integrationsPythonREST APIMicrosoft AzureAgentic AiGenerative AiGITCi/Cd

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