Job Title

LLM Engineer – Agent Reasoning & ToolingLocationBangaluru, Hydrabad, PuneExperience5–10+ years overall experience, with strong hands-on depth in LLM-based systemsWe 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 unnecessarilyOptimize reasoning flows for accuracy, latency, and costTranslate architectural patterns into concrete agent behaviorsImplement memory usage patterns (short-term, long-term, contextual retrieval)Support multi-agent interactions through well-defined interfaces and protocolsRequired 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 workflowsExperience with APIs, async workflows, and distributed systems conceptsAbility to write clean, testable, and maintainable codeExperience with LangChain, Semantic Kernel, AutoGen, CrewAI, or similarExperience with RAG, vector databases, or hybrid retrieval approachesStrong Python programming with experience in Hugging Face transformers, LangChain,OpenAI SDK