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AI/ML Engineer (LLMs, RAG & Agent Systems)
AI/ML Engineer (LLMs, RAG & Agent Systems)
IAI solution 's logo

AI/ML Engineer (LLMs, RAG & Agent Systems)

Anajli Kanojiya's profile picture
Posted by Anajli Kanojiya
1 - 2 yrs
₹5L - ₹6L / yr
Bengaluru (Bangalore)
Skills
Large Language Models (LLM)
LangChain
MongoDB
Docker

Job Title: AI/ML Engineer (LLMs, RAG & Agent Systems)

Location: Bangalore, India (On-site)

Type: Full-time


About the Role

As an AI/ML Engineer, you’ll be part of a small, fast-moving team focused on developing LLM-powered agentic systems that drive our next generation of AI products.

You’ll work on designing, implementing, and optimizing pipelines involving retrieval-augmented generation (RAG), multi-agent coordination, and tool-using AI systems.


Responsibilities

  • Design and implement components for LLM-based systems (retrievers, planners, memory, evaluators).
  • Build and maintain RAG pipelines using vector databases and embedding models.
  • Experiment with reasoning frameworks like ReAct, Tree of Thought, and Reflexion.
  • Collaborate with backend and infra teams to deploy and optimize agentic applications.
  • Research and experiment with open-source LLM frameworks to identify best-fit architectures.
  • Contribute to internal tools for evaluation, benchmarking, and scaling AI agents.


Required Skills

  • Strong foundation in ML/DL theory and implementation (PyTorch preferred).
  • Understanding of transformer architectures, embeddings, and LLM mechanics.
  • Practical exposure to prompt engineering, tool calling, and structured output design.
  • Experience in Python, Git/GitHub, and data processing pipelines.
  • Familiarity with RAG systems, vector databases, and API-based model inference.
  • Ability to write clean, modular, and reproducible code.


Preferred Skills

  • Experience with LangChain, LangGraph, Autogen, or CrewAI.
  • Hands-on with Hugging Face ecosystem (transformers, datasets, etc.).
  • Working knowledge of Redis, PostgreSQL, or MongoDB.
  • Experience with Docker and deployment workflows.
  • Familiarity with OpenAI, Anthropic, vLLM, or Ollama inference APIs.
  • Exposure to MLOps concepts like CI/CD, model versioning, or cloud (AWS/GCP/Azure).

What We Value

  • Deep understanding of core principles over surface-level familiarity with tools.
  • Ability to think like a researcher and execute like an engineer.
  • Collaborative mindset, building together, learning together.


Read more
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About IAI solution

Founded :
2025
Type :
Product
Size :
20-100
Stage :
Raised funding

About

N/A

Company social profiles

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