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Protocol Intelligence
Data-driven signals on your job's competitivenessMetro Bengaluru mid-level role with reputable employer, but niche Agentic AI skills limit applicant pool.
Highly specialized Agentic AI and LLM engineering skills limit cross-industry transferability.
Explicit 6+ years and specific Agentic AI stack plus production ML requirements enforce strict candidate filters.
Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and deploy production-grade multi-agent AI systems using LangGraph and related frameworks, powering features in the Azara data intelligence platform.
Develop and optimize RAG pipelines, LLM integrations, and agent orchestration workflows for autonomous AI agents at enterprise scale.
Build scalable Python backend services (FastAPI) including distributed task processing, event-driven microservices, and AI agent observability frameworks.
Minimum Requirements
6+ years of software engineering experience with significant hands-on AI/ML work in enterprise environments.
Strong proficiency in Python and experience building production AI applications using LangGraph or similar (LangChain, CrewAI, AutoGen).
Experience with LLM API integration (OpenAI, Azure OpenAI, Anthropic), prompt engineering, and RAG systems including vector databases.
Location requirement: On-site in Bengaluru, Karnataka, India. Work Experience Required: 6+ years.
Ideal Candidate Profile
Experienced architect and developer of multi-agent AI systems leveraging agent orchestration, persistent state, and memory patterns at enterprise scale.
Skilled in designing end-to-end AI solutions integrating LLMs, RAG pipelines, and backend microservices in production environments.
Comfortable leading technical innovation and mentoring others on AI engineering best practices and emerging agentic AI frameworks.