JUNIOR SOFTWARE DEVELOPER
Indexed description
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.
Job Requirements
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.
- 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.
- 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
Create a free Caio profile to unlock more results and save your role and location preferences.
Unlock free search