Software Engineer

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 GitHub 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 DevOps tools and practices, including CI/CD pipelines.
• Excellent problem-solving skills and attention to detail.
• Experience with Agile development methodologies such as Scrum