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Protocol Intelligence
Data-driven signals on your job's competitivenessMid-level ML role in Bengaluru with niche agentic LLM skills and moderate employer brand.
Highly domain-specific ML/agent production skills limit transferability across non-AI roles and industries.
Explicit 4–5 years plus mandatory LLM production, frameworks, cloud, and security requirements.
Job Description
Structured overview of role & requirementsAbout This Role
Build and deploy production-grade AI agents and multi-step orchestration workflows based on approved architecture.
Integrate agents with enterprise APIs, databases, business applications, and automation platforms ensuring security, audit logging, and human oversight.
Implement automated testing, monitoring, CI/CD pipelines, and troubleshoot production issues to maintain reliability, performance, and compliance with responsible-AI controls.
Minimum Requirements
4–5 years of experience in software, cloud, integration, automation, or AI engineering with at least 1–2 years deploying LLM or agentic applications into production.
Strong Python development skills; experience with APIs, event-driven integrations, and databases.
Familiarity with at least one agent framework or platform such as Agents SDK, LangGraph, LangSmith, Semantic Kernel, AWS Bedrock, or comparable.
Experience with Git, automated testing, CI/CD, containers, cloud deployment, production monitoring, logging, incident investigation, and enterprise security controls.
Ideal Candidate Profile
Experienced in operationalizing agentic AI systems with hands-on deployment and integration skills across enterprise environments.
Comfortable working across architecture, security, platform, and business teams for secure and governed AI solution delivery.
Skilled in establishing observability, traceability, and automated governance for AI agent workflows in production.