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Selected role

Senior AI Engineer

BigBear.ai US

Senior Full-time

Overview:

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.

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.
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.

What you need to have:

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).

About BigBear.ai:

BigBear.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 Bigbear.ai’s predictive analytics capabilities in highly complex, distributed, mission-based operating environments. Headquartered in McLean, Virginia, BigBear.ai is a public company traded on the NYSE under the symbol BBAI. For more information, visit https://bigbear.ai/ and follow BigBear.ai on LinkedIn: @BigBear.ai and X: @BigBearai.

BigBear.ai is an Equal opportunity employer all protected groups, including protected veterans and individuals with disabilities.

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