AI Engineer
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Protocol Intelligence
Data-driven signals on your job's competitivenessMetro role at a reputable fintech with in-demand AI title and mid-level seniority yields medium competition.
Agentic AI, LLM, and RAG experience is transferable but domain-specialized, so background fit is medium.
Requires 3+ years plus specific Python, agentic AI, RAG, and LLM experience, making filters strict.
Job Description
Structured overview of role & requirementsAbout This Role
Architect, build, and deploy scalable enterprise-grade AI agents in collaboration with clients.
Evolve AI agent development lifecycle by adapting software engineering practices for non-deterministic behaviors, natural language integration, and LLM dependencies.
Drive product and platform evolution by surfacing customer needs and collaborating with product and platform teams to enhance AI agent development.
Minimum Requirements
Minimum 3 years experience in building agentic applications.
Proficiency in Python and hands-on experience with agentic AI frameworks, architectures, design patterns, knowledge-base, AI-search, RAG, context engineering, evaluation, and guardrailing.
Experience with modern AI agent patterns including MCP, A2A, ACP.
Work Experience Required: Minimum 3 years in building agentic applications.
Ideal Candidate Profile
Experienced in designing modular AI agent systems that collaborate, reason, and adapt dynamically to context.
Able to accelerate generative agent development using modern tools like Cursor and Claude Code, and design self-optimizing AI systems.
Strong communicator and documentation advocate, capable of collaborating effectively with clients and internal teams to build scalable AI solutions.