Bachelor's degree in Computer Science, Software Engineering, Data Science, or related field, or equivalent experience.
5+ years of experience building and shipping production software in Python.
Hands-on experience with LLM application development, including RAG and tool use/function calling.
Experience applying SysML or similar systems-engineering modeling methods.
Proven leadership in technical work, including code reviews and architectural decision-making.
Familiarity with APIs, SQL, and cloud/on-premises deployment, preferably Azure.
Strong communication skills for collaboration with technical and business teams.
Responsibilities
Own technical architecture and implementation decisions for AI applications.
Provide technical leadership and mentorship to junior developers and interns.
Establish engineering standards for code review, testing, and documentation.
Manage hosting, deployment pipelines, and data integrations on Azure.
Build, test, deploy, and maintain LLM-powered applications and AI agents.
Automate proposal and project artifacts, including documentation and deliverables.
Integrate AI applications with enterprise tools and internal systems.
Benefits
Comprehensive health insurance options.
Retirement savings plan with company matching.
Professional development opportunities.
Flexible work arrangements.
Supportive team-oriented environment.
Full Job Description
Your tasks
Own technical architecture and implementation decisions for the team's AI applications, documenting key decisions and tradeoffs.
Provide technical leadership to junior developers and interns, including assigning and scoping technical work, reviewing code, and guiding their growth.
Establish engineering standards for code review, testing, CI/CD, security, and documentation.
Set up and manage hosting, deployment pipelines, and data integrations on Azure and internal platforms.
Build, test, deploy, and maintain LLM-powered applications and AI agents.
Develop tools to assess, grade, and triage RFIs, solicitations, and related requests.
Automate proposal and project artifacts, including requirements traceability matrices, CDRL deliverables, presentations, and related documentation.
Build document-processing pipelines using OCR, structured extraction, retrieval, and other AI techniques.
Integrate AI applications with enterprise tools, internal systems, APIs, and data sources.
Move prototypes into production through testing, monitoring, error handling, and performance improvements, and prepare documentation and handover so solutions can be supported long term.
Partner with the AI Lead, end users, and technical teams to assess feasibility, refine requirements, and advise on technical risks and tradeoffs.
Your qualifications
Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field, or equivalent experience.
5+ years of experience building and shipping production software in Python.
Hands-on experience with LLM application development, including RAG, tool use/function calling, agents, and output evaluation.
Experience applying SysML or comparable systems-engineering modeling methods to document requirements, system architecture, interfaces, behavior, or traceability
Experience leading technical work, including code reviews, mentoring, and making architectural decisions with minimal oversight.
Experience with APIs, SQL, enterprise integration, and cloud or on-premises deployment, including CI/CD pipelines; Azure experience is preferred.
Ability to work effectively with evolving requirements and establish engineering practices in a developing environment.
Strong communication skills with both technical colleagues and business users.
A team-oriented approach, with a willingness to share knowledge, support colleagues, give and receive constructive feedback, and contribute to shared outcomes.
In order to be considered, candidates must be a U.S. Person capable of obtaining a Public Trust clearance. Preferred Experience:
Self-hosted or local language models
Agent frameworks or Model Context Protocol (MCP)
OCR, document AI, or intelligent document processing
Government proposals, CDRLs, or DIDs
Startup, early-stage, or newly established technical initiatives
Interested?
We are looking forward to receiving your application!
The total compensation for this position is $104K-$139K. Total compensation includes base salary, variable pay (when applicable) plus benefits. The range is determined by the position, geographic location and level. Individual pay within the range is determined by several factors including location, education or training, relevant work history, sales incentive structure and job-related skills.
