Senior Agentic AI Engineer - II

Guarav Sidharth; USA; Remote; USD 120.000 - 170.000; Vollzeit

Zusammenfassung

Guarav Sidharth is seeking an AI Engineer to build production-grade agentic AI for Fortune 500 enterprises across CPG, Banking, MedTech and Industrial. You will own a client engagement from agent design to production, and stand behind the results.

You will design agentic workflows, ship reliable code in large-scale environments, and mentor junior engineers while collaborating with client teams to ensure outcomes meet business goals.

Qualifikationen

• 3-10 years in software engineering, with at least one system taken to production and owned.
• Hands-on LLM experience: multi-agent orchestration, RAG, tool-calling, prompt design
• Strong Python, plus testing, code review, deployment and monitoring
• Experience designing evals or test strategies for non-deterministic systems
• Comfortable with ambiguous requirements; can drive work to a reliable outcome independently
• Clear, credible communicator with client engineers

Aufgaben

• Design agentic workflows: agent topology, tool design, orchestration
• Ship reliable, well-tested agentic code in Fortune 500 production environments
• Build eval harnesses and rubrics to hit a 99.99% reliability bar
• Lead technical sessions with client engineers and product owners
• Review L1 engineers code and mentor them toward workstream ownership

Kenntnisse

Python

LLM experience

Multi-agent orchestration

Tool calling

Prompt design

Testing

Code review

Deployment

Monitoring

Client communication

Tools

Azure

AWS

Databricks

SAP

Oracle

Snowflake

Jobbeschreibung

Role & responsibilities

Build production-grade agentic AI for Fortune 500 enterprises across CPG, Banking, MedTech and Industrial. As an AI Engineer, youll own a full slice of a client engagement, from agent design to production, and stand behind the results.

• Design agentic workflows: agent topology, tool design, orchestration
• Ship reliable, well-tested agentic code in Fortune 500 production environments
• Build eval harnesses and rubrics to hit a 99.99% reliability bar
• Lead technical sessions with client engineers and product owners
• Review L1 engineers code and mentor them toward workstream ownership

Preferred candidate profile

• 3-10 years in software engineering, with at least one system taken to production and owned
• Hands‑on LLM experience: multi‑agent orchestration, RAG, tool‑calling, prompt design
• Strong Python, plus testing, code review, deployment and monitoring
• Experience designing evals or test strategies for non‑deterministic systems
• Comfortable with ambiguous requirements; can drive work to a reliable outcome independently
• Clear, credible communicator with client engineers

Good to have

• Production experience on Azure, AWS or Databricks
• Exposure to SAP, Oracle or Snowflake
• Experience in banking, MedTech, CPG or industrial domains
• Client‑facing or consulting delivery experience
• Contributions to agentic tooling, open source or eval frameworks