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.
Shubham Vishwakarma
Full Stack Developer - Averlon
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