This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a LLM Systems / AI Agent Engineer based in India.
This is an opportunity to build and evolve production-grade AI agents powered by modern foundation models.
You will work across agent orchestration, context engineering, evaluation, observability, and production monitoring.
The role is focused on practical LLM systems engineering rather than traditional machine-learning model training.
As the first dedicated hire in this area, you will have meaningful influence over the architecture and technical direction of the agent platform.
You’ll work closely with an experienced AI engineering lead and a small, highly focused product team.
The workplace is hands-on and delivery-oriented, with measurable responsibilities from the start.
This is a strong fit for an engineer who enjoys owning complex AI systems end to end and turning emerging agent patterns into reliable production technology.
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Accountabilities:
Build, deploy,



and continuously improve production AI agents using foundation models, including AWS Bedrock and comparable providers.
Design and evolve orchestration systems supporting tool calling, streaming, context management, structured outputs, and agent workflows.
Apply context-engineering techniques to improve the reliability, quality, and effectiveness of LLM and agent systems.
Develop and maintain evaluation datasets and pipelines covering tool selection, agent trajectories, and LLM-as-judge evaluations.
Establish production observability, monitoring, tracing, and instrumentation for LLM and agent workloads.
Contribute architectural expertise to evaluate the existing custom orchestration layer and determine whether a production framework such as LangGraph or LangChain would provide additional value.
Work closely with the AI function lead and Full Stack Engineer as part of a focused three-person product team.
Operate as an individual

📌 LLM Systems (India)
🏢 Jobgether
📍 India