AI Software Engineer - Mid Level
About The Position
What You'll Do: - Conduct code reviews across the platform codebase. You will review pull requests thoroughly, provide clear and constructive feedback, and help maintain code quality standards. - Build and maintain integrations with enterprise systems including SharePoint (via Microsoft Graph API), GitLab, EPDM, and internal Hub services. - Develop and maintain LLM API integrations across multiple providers. - Build and maintain RAG pipelines: document ingestion, parsing, chunking, embedding generation, vector database storage, and retrieval. - Develop backend APIs in Python, including asynchronous request handling and background job processing. - Contribute to agent framework development. - Implement and maintain authentication and authorization flows. - Troubleshoot and fix production issues. - Collaborate with team on deployment, monitoring, and infrastructure needs. - Mentor junior engineers through code review, pairing, and technical guidance. Expected Skills: - Expert Python skills — you need to be an expert writing, reading, and reviewing Python. - Experience building and consuming REST APIs - Working experience with at least one major LLM API — token management, streaming responses, prompt construction, error handling - Understanding of RAG patterns — embeddings, vector databases, document chunking and retrieval - Experience with async programming or task queue systems - Proficiency with Git and Docker usage - Demonstrated ability to conduct thorough, constructive code reviews What Sets You Apart: - Azure cloud experience - SharePoint or Microsoft Graph API integration experience - Kubernetes awareness - PostgreSQL - Experience with agentic AI frameworks (LangChain, LangGraph, CrewAI, AutoGen, or similar) - Experience with vector databases (Pinecone, Weaviate, Qdrant, pgvector, or similar) Our Commitment to You: An exciting career path with opportunities for continuous learning and development Flexible schedules with every other Friday off work, if desired (9/80 schedule) Competitive benefits, including 401k matching, flex time off, paid parental leave, healthcare benefits, health & wellness programs, employee resource and social groups, and more See more at gdmissionsystems.com/careers/why-work-for-us/benefits Workplace Options:This position allows you to be either fully remote/telework, fully on-site, OR Hybrid/Flex at one of several facilities. Interviews: We do not allow the use of AI during any step of the interview process. Salary Note This estimate represents the typical salary range for this position based on experience and other factors (geographic location, etc.). Actual pay may vary. This job posting will remain open until the position is filled.
Requirements
- Expert Python skills — you need to be an expert writing, reading, and reviewing Python.
- Experience building and consuming REST APIs
- Working experience with at least one major LLM API — token management, streaming responses, prompt construction, error handling
- Understanding of RAG patterns — embeddings, vector databases, document chunking and retrieval
- Experience with async programming or task queue systems
- Proficiency with Git and Docker usage
- Demonstrated ability to conduct thorough, constructive code reviews
- Requires a Bachelor’s degree in Software Engineering, or a related Science, Engineering, Technology or Mathematics field.
- Also requires 5+ years of job-related experience, or a Master's degree plus 3 years of job-related experience.
- Agile experience preferred.
- Due to the nature of work performed within our facilities, U.S. citizenship is required.
Nice To Haves
- Azure cloud experience
- SharePoint or Microsoft Graph API integration experience
- Kubernetes awareness
- PostgreSQL
- Experience with agentic AI frameworks (LangChain, LangGraph, CrewAI, AutoGen, or similar)
- Experience with vector databases (Pinecone, Weaviate, Qdrant, pgvector, or similar)
Responsibilities
- Conduct code reviews across the platform codebase.
- Build and maintain integrations with enterprise systems including SharePoint (via Microsoft Graph API), GitLab, EPDM, and internal Hub services.
- Develop and maintain LLM API integrations across multiple providers.
- Build and maintain RAG pipelines: document ingestion, parsing, chunking, embedding generation, vector database storage, and retrieval.
- Develop backend APIs in Python, including asynchronous request handling and background job processing.
- Contribute to agent framework development.
- Implement and maintain authentication and authorization flows.
- Troubleshoot and fix production issues.
- Collaborate with team on deployment, monitoring, and infrastructure needs.
- Mentor junior engineers through code review, pairing, and technical guidance.
Benefits
- An exciting career path with opportunities for continuous learning and development
- Flexible schedules with every other Friday off work, if desired (9/80 schedule)
- Competitive benefits, including 401k matching, flex time off, paid parental leave, healthcare benefits, health & wellness programs, employee resource and social groups, and more
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
1,001-5,000 employees
