LLM Engineer

LLM Engineer – Agent Reasoning & Tooling

Location

Bangaluru, Hydrabad, Pune

Experience

5–10+ years overall experience, with strong hands-on depth in LLM-based systems

We are looking for LLM Engineers to design and build the reasoning, tool-use, and chaining logic that powers our AI framework. This role focuses on how large language models think, plan, decide, and act—including prompt strategies, reasoning chains, tool invocation, and structured outputs.

Key Responsibilities:

Design and implement reasoning chains (plan–execute–reflect, ReAct, self-consistency, decomposition strategies)

Build structured chain-of-thought abstractions without exposing internal reasoning unnecessarily

Optimize reasoning flows for accuracy, latency, and cost

Translate architectural patterns into concrete agent behaviors

Implement memory usage patterns (short-term, long-term, contextual retrieval)

Support multi-agent interactions through well-defined interfaces and protocols

Required Skills:

Hands-on experience with LLMs and agent frameworks such as GPT, Claude, Mistral, or similar

Strong programming skills in Python (or equivalent)

Strong understanding of reasoning patterns (ReAct, CoT, Tree-of-Thoughts, planner–executor)

Experience implementing tool-augmented LLM workflows

Experience with APIs, async workflows, and distributed systems concepts

Ability to write clean, testable, and maintainable code

Experience with LangChain, Semantic Kernel, AutoGen, CrewAI, or similar

Experience with RAG, vector databases, or hybrid retrieval approaches

Strong Python programming with experience in Hugging Face transformers, LangChain,OpenAI SDK