Senior AI Engineer
Listed on 2026-07-13
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Software Development
AI Engineer (Applied/Software), Python, Machine Learning/ ML Engineer, Backend Developer
Overview
Ask Sage (part of Big Bear.ai) is seeking a Senior AI Engineer to design, develop, and maintain Generative AI Agents, MCP Servers, multi‑agent orchestration workflows, and AI‑powered tooling using Python and the Ask Sage platform.
What you will do- 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.
- Continuously develop custom multi‑agent frameworks and workflows to automate complex tasks.
- 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 mentor junior developers.
- 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 and 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 3‑4 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 (Open Claw, Claude Code, GPT Codex, etc.).
- Strong problem‑solving and analytical skills.
- Ability to work independently.
- Experience with retrieval‑augmented generation (RAG), vector databases (e.g., Weaviate, Pinecone, pgvector), and embedding pipelines.
- Experience with PostgreSQL and SQL Alchemy, as well as 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).
Big Bear.ai is a leading provider of AI‑powered decision intelligence solutions for national security, supply chain management, and digital identity. Customers and partners rely on Big Bear.ai’s predictive analytics capabilities in highly complex, distributed, mission‑based operating environments. Headquartered in McLean, Virginia, Big Bear.ai is a public company traded on the NYSE under the symbol BBAI.
Big Bear.ai is an equal‑opportunity employer for all protected groups, including protected veterans and individuals with disabilities.
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