Staff AI Agent Engineer

Ovii's Interpretation of the Role

The Staff AI Agent Engineer will design, build, and operate production‑grade AI agents that automate client‑experience and operations workflows. The role requires deep Python/TypeScript expertise, LLM integration, and end‑to‑end ownership of agent lifecycles within a regulated fintech environment.

Role Snapshot

• Design, build, and deploy production AI agents
• Own full agent lifecycle from prototype to monitoring
• Integrate agents with CRM, ticketing, payment and trading platforms
• Develop clean Python and TypeScript automation code
• Implement AI governance, observability, and audit controls
• Collaborate across client experience, compliance, product, and data teams

Must-Have Requirements

• Python
• TypeScript
• Large language models
• Model Context Protocol (MCP)
• Enterprise integration (CRM, ticketing, payments)
• Prompt engineering
• AI evaluation & monitoring
• CI/CD pipelines, Docker, cloud‑native deployments
• Data platforms & vector databases
• Observability & governance tooling
• Excellent communication and stakeholder management
• software engineering
• AI/ML production
• agentic workflow development
• must have appropriate rights and documentation for employment in India

Nice-to-Have Signals

• AI governance, auditability, security controls, privacy requirements
• Experience in regulated fintech, banking, or trading environments
• regulated fintech or financial services experience

Work Setup

• Location: Bangalore, India
• Work mode: ONSITE
• Employment type: Full-Time

Eligibility Gates

• Work authorization: must have appropriate rights and documentation for employment in India
• Visa sponsorship: no

Application Requirements

• Coding test mentioned
• Assessment mentioned

Not Specified in JD

• Salary range
• Visa sponsorship
• Remote eligibility
• Education requirement
• Certifications

What You'll Likely Work On

• Design and ship AI agents that automate end‑to‑end business workflows.
• Maintain and continuously improve agents through monitoring, testing, and performance tuning.
• Build integration layers that connect agents to enterprise systems such as CRM, ticketing, and payment gateways.
• Create and evolve Model Context Protocol servers and related tooling for reliable agent communication.
• Define human‑in‑the‑loop flows, security guardrails, and audit trails to meet financial‑services regulations.
• Drive AI adoption by delivering technical demos, workshops, and enablement sessions for stakeholders.

Good Fit If You Have

• Experience delivering AI‑powered solutions in regulated fintech or banking settings.
• Strong communication and stakeholder‑management abilities across technical and non‑technical teams.
• Proactive approach to AI governance, auditability, and privacy compliance.