Forward Deployed (Generative AI) Engineer

2 - 5 years

15 - 25 Lacs

Posted:16 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Role Overview

strong technical skills

Key Responsibilities

  • Partner with customers to

    identify Business challenges and AI integration opportunities

    across their workflows.
  • Design and develop AI agents and RAG pipelines

    using LLMs, embeddings, and vector databases.
  • Integrate AI systems

    with enterprise platforms such as CMS, CRM, analytics, and authentication systems.
  • Implement

    reliability and safety best practices

    , prompt versioning, hallucination control, HITL loops, and offline evaluations.
  • Lead

    PoCs and demos

    , validate use cases, and deliver measurable business outcomes.
  • Document and standardize best practices, playbooks, and reusable components for future deployments.
  • Collaborate with core engineering to

    productize customer prototypes

    .

Required Skills & Experience

  • 2-5 years

    of experience in solutions engineering, Machine Learning or AI engineering.
  • Strong proficiency in

    Python

    and/or

    TypeScript

    with hands-on API and data integration skills.
  • Proven experience in

    building and deploying Generative AI or LLM-based applications

    .
  • Expertise in

    RAG architectures

    and concepts(vector stores like Opensearch, Pinecone, Weaviate, hybrid search; metadata filtering).
  • Experience with

    prompt engineering

    , evaluation frameworks, and AI safety guardrails.
  • Familiarity with

    enterprise security considerations

    (PII handling, access controls, compliance).
  • Excellent communication skills and

    customer-facing experience

    .

Nice-to-Have

  • Experience with AWS Cloud
  • Experience with frameworks like LangChain, LangGraph, DSPy, or LlamaIndex.
  • Hands on experience of LLM

    fine-tuning is a big plus

  • Experience leading

    PoCs or production deployments

    for enterprise customers.

Preferred Qualifications

  • Bachelor of Engineering in Computer Science, Artificial Intelligence.
  • PhD, M.Tech, M.E. & B.E-Computer Science or AI is preferred.
  • Hands-on experience in product-focused organizations.

Why Karini AI

  • Work on

    cutting-edge Generative AI

    technologies and real-world deployments.
  • Opportunity to build

    AI agents and solutions for global enterprise clients

    .
  • Collaborate with a team of AI experts and engineers solving high-impact problems.
  • Accelerate your career in AI with end-to-end solution ownership.

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Karini Ai

Healthcare Technology

San Francisco

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