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Metro Bangalore and a generic senior engineer title raise applicant density, though niche LLM agent requirement limits competition.
Requires specialized LLM agent, RAG and embeddings expertise, yielding high domain specificity and limited cross-industry transferability.
Mandatory production LLM/agent experience plus specific tech stack and enterprise integration needs produce moderately strict filters.
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Develop and maintain AI agent and LLM-powered workflows including API integration, skill building, and multi-agent coordination.
Own backend services leveraging Python 3.10+, FastAPI, SQL, and REST APIs with JWT/OAuth2 for secure data handling.
Design and implement enterprise integration and automation solutions utilizing AWS services, containerization, and workflow automation tools.
Proven software engineering experience with delivery ownership and minimal guidance.
Experience with at least one production project involving LLM agents, skill building, or RAG pipelines.
Mandatory onsite work location: Bengaluru, KA, India.
Proficiency in Python 3.10+, FastAPI or equivalent, basic SQL, REST API design, and AWS infrastructure (EC2/ECS, Lambda, RDS, S3).
Experienced in building LLM API integrations and agent workflows, including prompt engineering and hallucination mitigation techniques.
Comfortable interfacing directly with non-technical stakeholders to gather requirements and present solutions.
Familiar with containerization (Docker), CI/CD, and cloud deployment patterns within complex enterprise environments.