> Markdown version of [/jobs/ext/1084619-senior-ai-engineer](https://www.wearedevelopers.com/jobs/ext/1084619-senior-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI Engineer - **Company:** BigBear.ai, Inc. - **Location:** United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Software Quality, Code Review, Encodings, Continuous Integration, Python (Programming Language), PostgreSQL, Performance Tuning, Secure Coding, SQL Injection, SQLAlchemy, Microsoft Power Automate, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, Cross-Site Scripting (XSS), Kubernetes, HuggingFace, Virtual Agents, Network Server, GPT, Docker - **Published:** June 22, 2026 - **Apply:** https://www.clearancejobs.com/jobs/8988455/senior-ai-engineer ## About the Role * Minimum of 5 years of experience with Python Software Development. * Ability to obtain a Security Clearance * Strong Experience building Generative AI solutions, agentic AI systems, and multi-agent workflows. * Strong prompt & context engineering skills. * Experience with Microsoft Power Automate to design, build, and manage automated workflows and business processes. * Experience in building secure code with a strong understanding of security best practices (e.g., XSS, SQL injections). * At least 3 to 4 years of experience with flagship Generative AI provider APIs (Google VertexAI, AWS Bedrock, Microsoft Azure OpenAI) and models (OpenAI GPT, Anthropic Claude, Google Gemini). * At least 2 years of hands-on experience developing Generative AI Agents and Agent Orchestration Frameworks (OpenClaw, Claude Code, GPT Codex, etc). * Strong problem-solving and analytical skills. * Ability to work independently. What we'd like you to have * Experience with retrieval-augmented generation (RAG), vector databases (e.g., Weaviate, Pinecone, pgvector), and embedding pipelines. * Experience with PostgreSQL and SQLAlchemy. * Experience with Docker, Kubernetes, and CI/CD pipelines. * Experience with local LLM deployment, model fine-tuning, and Hugging Face. * Familiarity with LLM observability, evaluation frameworks, and cost/latency optimization. * Knowledge of government compliance frameworks (FedRAMP, NIST AI RMF, CMMC 2.0). ## Description AskSage (BigBear.ai company) is seeking a Senior AI Engineer. This critical role involves designing, developing, and maintaining Generative AI Agents, MCP Servers, multi-agent orchestration workflows, and AI-powered tooling using Python and the Ask Sage platform. The ideal candidate will have strong prompt engineering skills, a deep understanding of Generative AI stacks such as OpenAI, Anthropic, MCP, Function tooling, etc., and a robust security background to ensure code is secure by default. Deep Experience with Generative AI and agent orchestration frameworks is required. Our FedRAMP High and DoD IL5, IL6 and Top Secret accredited cutting-edge technology enables teams to focus on strategic initiatives while we take care of the heavy lifting. We are seeking a highly skilled and experienced Senior AI Engineer with expertise in Python, generative AI, and Agent Orchestration., * Design, develop, and maintain Generative AI Agents, MCP Servers, and function tooling using Python and related frameworks. * Build innovative Generative AI features to help Ask Sage customers automate tasks and processes. * Implement best practices for code quality, security, and performance optimization. * Write clean, efficient, and maintainable code with a focus on security, data privacy, and secure-by-default patterns. * Continuous development of custom multi-agent framework and workflows to automate complex tasks and bring complex automation. * Stay up-to-date with the latest trends and advancements in Python development and Generative AI. * Collaborate with cross-functional teams to integrate Generative AI solutions into existing systems. * Conduct code reviews and provide mentorship to junior developers. ## Related Videos - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [A Brief History of Data Storage](https://www.wearedevelopers.com/videos/974-a-brief-history-of-data-storage) - [Should we build Generative AI into our existing software?](https://www.wearedevelopers.com/videos/1129-should-we-build-generative-ai-into-our-existing-software) - [Speak, Code, Deploy: Transforming Developer Experience with Voice Commands](https://www.wearedevelopers.com/videos/1159-speak-code-deploy-transforming-developer-experience-with-voice-commands) - [Make it simple, using generative AI to accelerate learning](https://www.wearedevelopers.com/videos/969-make-it-simple-using-generative-ai-to-accelerate-learning) ## Related Articles - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [The State of WebDev AI 2025 Results: What Can We Learn?](https://www.wearedevelopers.com/magazine/581-the-state-of-webdev-ai-2025-results-what-can-we-learn)