AI Engineer

1 week ago

Mumbai, Maharashtra, India Kayana | Ordering & Payment Solutions Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Job Title: AI Engineer (LLMs, Agentic Systems & Model Training)

Location:
Mumbai

Employment Type:
Full-Time

Experience Level:
Mid–Senior

About the Role

We are seeking a highly skilled
AI Engineer
with deep expertise in
Large Language Models (LLMs)
,
AI Agents
, and advanced
retrieval and fine-tuning techniques
. The ideal candidate has hands-on experience training and optimizing LLMs, building agentic workflows, utilizing vector embeddings, and implementing
Agentic RAG
and
Cache-RAG architectures
. Strong proficiency in
Python
and
Java
is required.

Key Responsibilities

LLM Development & Model Training

  • Fine-tune, train, and optimize LLMs (open-source or proprietary) for specific business use cases.
  • Implement supervised fine-tuning (SFT), RLHF, PEFT/LoRa, and other parameter-efficient training methods.
  • Evaluate and improve model performance using modern benchmarking and evaluation tools.

AI Agents & Autonomous Workflows

  • Build and deploy
    AI agents
    capable of tool use, planning, memory, and multi-step reasoning.
  • Architect agentic systems that interact with external APIs, internal tools, and knowledge sources.
  • Optimize agent reliability, latency, and cost using best practices.

RAG & Vector Embeddings

  • Design and implement
    Agentic RAG
    ,
    Cache-RAG
    , and hybrid retrieval pipelines.
  • Work with vector databases (Postgres Vector, Pinecone, FAISS, Milvus, Chroma, Weaviate, etc.).
  • Generate and manage embeddings for semantic search, retrieval-augmented generation, and caching.
  • Ensure integrity, quality, and relevance of retrieval datasets.

Software Engineering

  • Develop scalable AI services using Python and Java.
  • Build APIs, microservices, and data pipelines that support AI workflows.
  • Write efficient, production-ready, clean, and well-documented code.

Collaboration & Research

  • Partner with data scientists, ML engineers, product teams, and researchers.
  • Stay current with state-of-the-art LLM research, agent frameworks, and vector search technologies.
  • Propose and prototype innovative AI features and architectures.

Required Skills & Qualifications

  • Bachelor's/Master's in computer science, AI, Machine Learning, or related field.
  • Strong proficiency in
    Python
    and
    Java
    , with demonstrable project experience.
  • Hands-on experience fine-tuning and training LLMs (e.g., Llama, Mistral, GPT variants, Qwen, Gemma).
  • Deep understanding of
    transformer architectures
    , tokenization, and inference optimization.
  • Experience with
    agent's frameworks
    (LangChain, AutoGen, OpenAI Agents, LlamaIndex agents, custom agents).
  • Practical knowledge of
    vector embeddings
    , ANN search, and RAG methodologies.
  • Familiarity with GPU pipelines, distributed training, and model deployment.
  • Understanding of cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).

Preferred Qualifications

  • Experience with multi-modal LLMs (vision, audio, code).
  • Knowledge of model quantization (GPTQ, AWQ) and inference acceleration.
  • Experience with orchestration tools (Ray, Prefect, Airflow).
  • Contributions to open-source AI projects.

What We Offer

  • Competitive salary and benefits
  • Opportunity to work with cutting-edge AI systems
  • A collaborative environment that encourages innovation
  • Career growth and leadership opportunities

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