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AI/ML Engineer
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AI/ML Engineer

Anajli Kanojiya's profile picture
Posted by Anajli Kanojiya
1 - 3 yrs
₹8L - ₹9L / yr
Bengaluru (Bangalore)
Skills
AI Agents
IIT
IIIT
NIT
Large Language Models (LLM) tuning

About the Role:

The selected candidate will be part of a small, fast-moving team focused on building LLM-powered agentic systems and next-generation AI products. This role involves hands-on work with retrieval-augmented generation (RAG), multi-agent coordination, and tool-using AI architectures.

Key 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 evaluate 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.
  • Hands-on experience with prompt engineering, tool calling, and structured output design.
  • Proficiency 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 the Hugging Face ecosystem (transformers, datasets, etc.).
  • Working knowledge of Redis, PostgreSQL, MongoDB.
  • Experience with Docker, deployment workflows, and MLOps (CI/CD, model versioning, cloud).
  • Familiarity with OpenAI, Anthropic, vLLM, or Ollama APIs.

What We Value:

  • Deep understanding of fundamentals over tool familiarity.
  • A researcher’s mindset with an engineer’s execution ability.
  • Collaborative, growth-oriented approach to problem-solving.

Preferred Background:

We are particularly looking for candidates from IITs, IIITs, NITs, or reputed research institutions, with a strong research or applied AI/ML background.

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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About IAI solution

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

About

N/A

Company social profiles

N/A

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Shubham Vishwakarma's profile image

Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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