Prompt Engineer

18 hours ago

Hyderabad, Telangana, India 518c6aa2-d08a-45a7-97db-d037b1c62852 Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Prompt Engineer

Experience:
3–5 years

Location:
Hyderabad (Onsite/Hybrid)

Job Description:

We are looking for a
Prompt Engineer
with strong software engineering expertise and hands-on experience working with
Large Language Models (LLMs)
and
Agentic AI frameworks
. The ideal candidate will design, test, and optimize prompts, retrieval pipelines, and agentic workflows that power intelligent, production-grade AI systems.

Key Responsibilities:

  • Design, prototype, and refine
    prompts for LLMs
    (OpenAI, Anthropic, Gemini, Llama, etc.).
  • Build and integrate
    LLM-based services
    via APIs with
    FastAPI
    (routers, DI, auth, rate limiting).
  • Implement
    Retrieval-Augmented Generation (RAG)
    workflows — document parsing, chunking, embeddings, vector search, and hybrid retrieval.
  • Develop
    agentic flows and state machines
    using
    LangGraph
    ; build
    chains/tools
    using
    LangChain
    .
  • Create and maintain
    testing frameworks
    for prompts, retrieval logic, and chain/tool performance (A/B testing, relevance, latency, and cost).
  • Manage
    vector database integrations
    (FAISS, Pinecone) and ensure retrieval accuracy.
  • Collaborate on
    end-to-end API development
    , CI/CD integration, and system monitoring.
  • Maintain documentation, best practices, and advocate for prompt engineering standards across teams.

Must-Have Skills:

  • 3–5 years of
    software engineering experience
    with strong
    Python
    skills.
  • Proven hands-on experience with
    FastAPI
    ,
    LLMs
    (OpenAI, Anthropic, Gemini, Llama), and
    function/tool calling
    .
  • Practical experience implementing
    RAG
    ,
    embeddings
    ,
    hybrid retrieval
    , and
    document chunking
    .
  • Proficiency with
    LangGraph
    and/or
    LangChain
    for agentic and chained workflows.
  • Experience with
    vector databases
    (FAISS, Pinecone, Weaviate) and
    document preprocessing
    .
  • Familiarity with
    Git
    ,
    Docker
    , and
    CI/CD pipelines
    .
  • Strong communication and collaboration skills.

Nice-to-Have Skills:

  • Experience in
    LLM fine-tuning
    (LoRA, quantization) and
    monitoring prompt performance
    .
  • Knowledge of
    cloud deployment
    (AWS/Azure/GCP) and
    LLM observability
    (latency, cost tracking).
  • Prior exposure to
    regulated domains
    such as healthcare or life sciences.

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