Junior Software Engineer - Belay Technologies

Belay Technologies has been voted Baltimore Business Journal's (BBJ) Best Places to Work 2019, runner up in 2020 and a finalist in 2021!

Belay Technologies is seeking a Software Engineer (AI Focus). We are seeking a Software Engineer I with a focus on AI to support analysts and operators by developing and refining the software that integrates AI capabilities into CNO workflows. In this role, you will integrate diverse data sources and external APIs with MCP tools to enable seamless, scalable system interoperability. You will work under the guidance of senior engineers to ensure AI tools are stable, reliable, and seamlessly integrated into the customer's existing toolset.

Responsibilities:

• Develop agentic integrations with Python that leverage multiple AI models, APIs, and data sources in production.
• Build tools and agentic workflows within modern frameworks like PydanticAI, Langgraph, and DeepAgents.
• Interact with mission stakeholders to elicit requirements and devise solutions.
• Navigate customer data types to identify and extract relevant information.
• Collaborate with other software engineers to test workflows, identify issues, and recommend pathways for fixes.

Candidates should have the following qualifications:

• TS/SCI Clearance with polygraph
• 3 yrs., B.S. in a technical discipline or 4 additional yrs. in place of B.S.

Candidates are desired to have the following skills:

• Proficiency in Python, particularly in handling JSON, interacting with REST APIs, and data manipulation.
• Experience leveraging HTTP-based APIs to access data through queries.
• Understanding of AI development concepts, including prompt engineering, context management, structured outputs, and tool/function calling.
• Familiarity with software source control (Git) and the Atlassian tool suite (Jira, Confluence).
• Familiarity with presenting data analysis results to customers.

Nice to Haves:

• Experience with agentic workflows and multi-agent orchestration.
• Basic knowledge of end-to-end SIGINT collection and analysis systems.
• Background in cybersecurity or understanding of security operations workflows.
• Gitlab CICD automation.
• Experience with retrieval systems (RAG, vector databases, semantic search).
• Familiarity with production CNO capabilities and operations.
• Practical experience in one or more artificial intelligence domains (e.g., intelligent systems, autonomy, planning, LLMs).
• Familiarity with cloud computing technologies (AWS, Docker, Kubernetes).