Principal AI ML Software Developer; Onsite

AI-Powered Software Engineering Tools Lead

This role leads the development of AI-powered software engineering tools by building and orchestrating advanced SDLC agents that improve coding, testing, and CI/CD workflows. It requires strong Python skills and hands-on experience with LLMs, prompt engineering, secure system design, and modern Dev Ops technologies to deliver scalable, secure AI solutions.

What You Will Do

• Develop a suite of SDLC agents, each specialized for tasks like requirements analysis, code generation, debugging, and automated testing.
• Implement Zero Trust Security principles across the agentic ecosystem.
• Design and build a robust, scalable agentic orchestrator to manage and coordinate multiple AI agents.
• Develop and integrate Model Context Protocol (MCP) into SDLC agents, allowing agents to use tools.
• Craft and refine sophisticated prompts to guide agent behavior and ensure high-quality, reliable outputs from Large Language Models (LLMs).
• Implement Agent-to-Agent (A2A) communication protocols, enabling seamless collaboration and information sharing between agents.
• Implement API-driven GenAI tools to enhance the CICD Pipeline
• Collaborate with product and engineering teams to integrate the agentic system into our existing development workflows.
• Write clean, efficient, and well-documented code while following best practices for building AI-driven systems.

Qualifications You Must Have

• Typically requires a degree in Science, Technology, Engineering, or Mathematics (STEM), and a minimum of 8 years of Software Engineering experience.
• Experience as a Software Developer, specifically with Python.
• Experience with LLMs and popular AI frameworks (e.g., poolside, Lang Chain).
• Experience in prompt engineering, including techniques for complex reasoning, planning, and tool use.
• Experience working on a generative AI Agent and/or open-source related project.
• The ability to obtain and maintain a U.S. government issued TS/SCI clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance.

Qualifications We Prefer

• A degree in Computer Science and/or Computer Engineering.
• Practical experience applying Zero Trust Security principles.
• Experience with platform development and Dev Ops tools, including containerization (Docker) and orchestration (Kubernetes).
• Experience with the Atlassian suite (JIRA, Confluence, etc.)
• Familiarity with CI/CD pipelines and deployment automation.
• Experience with UI design is preferred
• Knowledge of distributed systems, process management, and workflow orchestration.
• A conceptual understanding of advanced agentic concepts like A2A communication and multi-agent consensus.
• Experience designing and evaluating software architectures for scalable, secure AI-driven systems

What We Offer

• Whether you're just starting out on your career journey or are an experienced professional, we offer a total rewards package that goes above and beyond with compensation; healthcare, wellness, retirement, and work/life benefits; career development and recognition programs. Some of the benefits we offer include parental (including paternal) leave, flexible work schedules, achievement awards, educational assistance, and child/adult backup care.
• Relocation Eligibility - Relocation assistance is available.