Full-Stack AI Engineer

3 days ago


Bengaluru, Karnataka, India Recro Full time ₹ 15,00,000 - ₹ 20,00,000 per year

We are looking for a highly skilled
Full-Stack AI Engineer
who can design, develop, and deploy advanced AI-driven applications. The ideal candidate will have strong expertise in
RAG (Retrieval-Augmented Generation)
systems,
vector databases
, and
end-to-end ML pipelines
. You will be working on scalable, production-grade AI solutions leveraging state-of-the-art frameworks and cloud-native technologies.

Key Responsibilities

  • Design and implement
    RAG-based AI applications
    with optimized semantic search.
  • Build and manage
    vector database solutions
    (Pinecone, Weaviate, Qdrant, FAISS).
  • Develop and maintain
    production-ready ML systems
    ensuring performance and scalability.
  • Apply
    prompt engineering techniques
    to fine-tune model interactions.
  • Handle
    document chunking, embedding generation, and retrieval optimization
    .
  • Integrate
    LangChain/LlamaIndex
    frameworks for orchestration.
  • Implement
    caching strategies
    (Redis or similar) for efficiency.
  • Collaborate with cross-functional teams to deliver end-to-end AI solutions.

Core Skills

  • Strong experience in
    RAG implementation
    .
  • Expertise in
    vector databases
    (Pinecone, Weaviate, Qdrant, FAISS).
  • Proficiency in
    semantic search optimization
    .
  • Hands-on knowledge of
    production ML system deployment
    .

Technical Requirements

  • Proficient in
    LangChain, LlamaIndex
    .
  • Experience with
    OpenAI APIs, Hugging Face, Sentence Transformers
    .
  • Strong programming skills in
    Python, NumPy
    , and ML libraries.
  • Familiarity with
    prompt engineering
    best practices.
  • Knowledge of
    document chunking techniques
    for retrieval systems.
  • Experience with
    Redis or other caching mechanisms
    .

Preferred Qualifications

  • 3–6 years of experience in
    AI/ML engineering or full-stack development
    .
  • Strong problem-solving and optimization skills.
  • Experience working in
    fast-paced startup or product environments
    .
  • Knowledge of
    cloud deployment (AWS, GCP, or Azure)
    is a plus.

Why Join Us?

  • Work with cutting-edge
    Generative AI and Retrieval systems
    .
  • Opportunity to contribute to
    high-impact AI products
    in production.
  • Collaborative, growth-oriented, and innovative work culture.

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