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Protocol Intelligence
Data-driven signals on your job's competitivenessMid-level experience and broad skillset but niche agentic expertise reduces applicant density.
Highly specialised agentic AI, enterprise integrations, and MLOps requirements limit cross-industry transferability.
Explicit 3–5 years, mandatory agentic experience and strict tech/quality gates make filtering rigorous.
Job Description
Structured overview of role & requirementsAbout This Role
Develop and deploy production AI autonomous crews for operational workflows across multiple departments, ensuring real-world impact and measurable outcomes from day one.
Collaborate within a 10-day delivery lifecycle to deliver fully tested, instrumented, and documented AI workflows including orchestration, escalation boundaries, and human-in-the-loop gates.
Maintain and improve observability and production reliability, diagnosing and resolving issues using New Relic metrics and continuous feedback loops.
Minimum Requirements
3–5 years in AI/ML development with at least 1 year of production experience in agentic AI or advanced LLM-based systems.
Hands-on experience with DSPy typed signatures and assertion guards; practical exposure to agent frameworks such as LangGraph, Google ADK, Amazon Bedrock AgentCore, LangChain, or similar.
Proficiency in Python programming with AI/ML libraries, and experience with AWS Bedrock or equivalent cloud-based LLM management.
Work Experience Required: 3–5 years AI/ML with 1+ year agentic AI production experience; Notice period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced in building robust, production-grade AI workflows that incorporate human-in-the-loop decision-making and escalation design within strict deployment cycles.
Comfortable working with multiple agent frameworks, DevOps infrastructure (EKS, Terraform), and production observability tools like New Relic to ensure code quality and system reliability.
Domain familiarity with Finance, Controlling, HR, Operations, Customer Service, or Customer Experience to contribute informed escalation boundaries and integration with enterprise systems.