Job Description
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 protocol...
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 protocol...
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