Software Engineer, AI Engineer, Machine Learning/ ML Engineer
Listed on 2026-02-07
-
IT/Tech
AI Engineer, Machine Learning/ ML Engineer
This range is provided by REQ Solutions. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range$48.00/hr - $51.00/hr
Job Title:
Software Engineer
Duration: 12 Months Contract + Possibilities of Extension
Shift time: 08:00 AM - 05:00 PM (Mon - Friday, Onsite twice per week (Tuesdays and Thursdays))
Note:
Those Candidates who can work on W2 basis without any sponsorship are encouraged to apply.
Description:
Responsibilities
- Design AI systems to enable both human-in-the-loop scenarios and fully autonomous operations.
- Develop and orchestrate tool-augmented AI agents at scale using standard industry tooling.
- Build AI-driven processes and infrastructure to accelerate test creation, maintenance, and root cause analysis.
- Evaluate the performance, safety, and reliability of agentic AI systems within enterprise environments.
- Work closely with development and testing teams for AI advocacy.
- Be onsite for collaborations, demos, and other work.
Minimum Qualifications
- 8+ years professional experience working with Python to build and maintain scalable applications and frameworks.
- Demonstrated track record of developing, deploying, and maintaining AI/ML systems.
- Demonstrated ability to write clean, maintainable, and well-documented Python code.
- Strong verbal and written communication, with experience leading technical training sessions or demos.
Preferred Qualifications
- BS or MS Degree in Computer Science or equivalent field.
- Experience with AI coding assistants such as Cursor or Git Hub Copilot.
- Experience evaluating generative AI models and agentic, RAG-based systems.
- Experience with distributed or LLM tracing using observability platforms such as Datadog.
- Experience working with AI tooling and AI agent frameworks such as Langchain and Langgraph.
- Experience with testing frameworks such as Pytest.
- Understanding all phases of the Software Testing Life Cycle (STLC).
- In-depth database management, cloud technologies (AWS), and containerization (Docker, Kubernetes).
- Familiarity with Dev Ops tools and practices, including CI/CD pipelines.
- Excellent problem-solving skills and attention to detail.
- Experience with Agile development methodologies such as Scrum.
- Seniority level Associate
- Employment type
Contract
- Job function
Information Technology - Industries Computer Games
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