Prompt Engineering Jobs in Huntsville, AL (NOW HIRING)

Igniters operate in the world's most demanding environment. Igniters are self-motivated, mission-driven, and relentless in solving the Warfighters' hardest problems. We move fast, think differently, and execute with precision to tackle high-stakes challenges across AI/ML, space and missile defense intelligence, EMSO, advanced analytics, and programmatic domains.

As an employee-owned SDVOSB headquartered in Huntsville, AL, our team delivers mission-critical impact for the Army, Air Force, Space Force, MDA, NASA, DIA, and FBI. Ignite exists to outpace the threat and deliver results that matter in the moments that count. We are seeking a Junior Software Developer to support the development of AI-enabled applications, agentic workflows, Model Context Protocol (MCP) services, and reusable software tools.

The developer will work with senior engineers to integrate large language models with internal applications, data sources, simulations, and automated workflows.Primary Responsibilities Develop and maintain Python-based applications, services, and automation tools. Build and integrate MCP servers, tools, resources, and client applications. Support agentic workflows that use large language models to select tools, perform multi-step tasks, and process results

Integrate applications with OpenAI-compatible APIs and locally hosted language models. Create configuration-driven tools and workflows with minimal hard-coded behavior. Develop REST APIs and backend services for AI-enabled applications.

Write unit tests, troubleshoot software issues, and maintain technical documentation. Use Git-based development processes, code reviews, and continuous integration. Assist with containerizing and deploying applications in offline or restricted environments.

Required Qualifications Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Information Systems, Mathematics, Physics, or a related technical field. Experience developing software in Python through coursework, internships, personal projects, or professional work. Familiarity with object-oriented programming, APIs, JSON, and asynchronous programming.

Basic understanding of large language models, prompt engineering, tool calling, or agentic application patterns. Experience using Git or another version-control system. Ability to communicate technical information and work effectively as part of a development team.

U.S. citizenship and the ability to obtain and maintain a U.S. Government TS/SCI security clearance

Desired Experience Experience with some of the following is preferred but not required: Model Context Protocol, FastMCP, or the official MCP Python SDK OpenAI SDK or other OpenAI-compatible APIs LangGraph, LangChain, Agno, Semantic Kernel, or similar agent frameworks FastAPI, Pydantic, HTTPX, asyncio, and Uvicorn Pytest and automated software testing Docker and containerized development Retrieval-augmented generation, embeddings, or vector databases Local or offline large language model deployment Linux development environments and basic command-line tools Ideal Candidate The ideal candidate is curious, motivated, and comfortable learning unfamiliar technologies. They should enjoy building practical software, experimenting with emerging AI capabilities, and turning prototypes into reliable, maintainable tools. Direct professional experience with every technology listed above is not expected.Primary Responsibilities Develop and maintain Python-based applications, services, and automation tools

Build and integrate MCP servers, tools, resources, and client applications. Support agentic workflows that use large language models to select tools, perform multi-step tasks, and process results. Integrate applications with OpenAI-compatible APIs and locally hosted language models.

Create configuration-driven tools and workflows with minimal hard-coded behavior. Develop REST APIs and backend services for AI-enabled applications. Write unit tests, troubleshoot software issues, and maintain technical documentation.

Use Git-based development processes, code reviews, and continuous integration. Assist with containerizing and deploying applications in offline or restricted environments. Required Qualifications Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Information Systems, Mathematics, Physics, or a related technical field.

Experience developing software in Python through coursework, internships, personal projects, or professional work. Familiarity with object-oriented programming, APIs, JSON, and asynchronous programming. Basic understanding of large language models, prompt engineering, tool calling, or agentic application patterns.

Experience using Git or another version-control system. Ability to communicate technical information and work effectively as part of a development team. U.S

citizenship and the ability to obtain and maintain a U.S. Government TS/SCI security clearance. Desired Experience Experience with some of the following is preferred but not required: Model Context Protocol, FastMCP, or the official MCP Python SDK OpenAI SDK or other OpenAI-compatible APIs LangGraph, LangChain, Agno, Semantic Kernel, or similar agent frameworks FastAPI, Pydantic, HTTPX, asyncio, and Uvicorn Pytest and automated software testing Docker and containerized development Retrieval-augmented generation, embeddings, or vector databases Local or offline large language model deployment Linux development environments and basic command-line tools Ideal Candidate The ideal candidate is curious, motivated, and comfortable learning unfamiliar technologies

They should enjoy building practical software, experimenting with emerging AI capabilities, and turning prototypes into reliable, maintainable tools. Direct professional experience with every technology listed above is not expected.