Senior AI Engineer - Autonomous Agents & MLOps

Inetum; United States; Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Medical insurance

Meal tickets

Flexible benefits

Wellbeing activities

Social gatherings

Job summary

Inetum in the United States is seeking an experienced AI Engineer to design and deploy enterprise-grade AI solutions, including autonomous agents and multi-agent orchestration. You will integrate LLMs with APIs and enterprise systems, implement observability, and apply MLOps/AIOps to production workloads on cloud platforms such as AWS, Azure, and Databricks.

This role offers exposure to Generative AI, collaboration across teams, and a path toward scalable, secure AI capabilities in large

Qualifications

• 5–10 years in AI/ML or software engineering.
• Experience with enterprise AI solutions and multi-agent systems.
• Proficient in Python and cloud platforms (AWS/Azure).
• Experience with LangChain, AutoGen, or similar frameworks.
• Ability to design secure, production-grade AI capabilities.

Responsibilities

• Architect and develop autonomous agents and multi-agent frameworks.
• Integrate LLMs with APIs, databases, and enterprise systems; ensure observability.
• Apply MLOps/AIOps; deploy on AWS, Azure, and Databricks.

Skills

AI/ML engineering

Multi-agent systems

Python programming

Tools

AWS Bedrock

LangChain

AutoGen

CrewAI

Databricks

MCP

A2A

Job description

Inetum in the United States is seeking an experienced AI Engineer to design and deploy enterprise-grade AI solutions, including autonomous agents and multi-agent orchestration. You will integrate LLMs with APIs and enterprise systems, implement observability, and apply MLOps/AIOps to production workloads on cloud platforms such as AWS, Azure, and Databricks.

This role offers exposure to Generative AI, collaboration across teams, and a path toward scalable, secure AI capabilities in large