BigBear.ai, Inc.

Senior AI Engineer

BigBear.ai, Inc.$130K — $155K *
Aerospace & Defense
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree with 8+ years of relevant experience or equivalent.
  • Active TS/SCI with Poly security clearance.
  • Proficiency in Python and LLM integration.
  • Experience with static analyzers, RAG framework, and both relational and vector databases.
  • Familiarity with Agile methodologies, Git, Jira, and Confluence.
  • Experience collaborating with systems engineers to develop secure AI tools.

Responsibilities

  • Collaborate with technical leadership to design and maintain LLM orchestration frameworks.
  • Develop and optimize data preprocessing pipelines for LLM consumption.
  • Design and implement database solutions for RAG architectures and artifact storage.
  • Work closely with mission stakeholders to capture requirements for AI tooling.
  • Support performance profiling and optimization of mission systems.

Benefits

  • Opportunity to work on cutting-edge AI and emerging technologies.
  • Collaborative work environment focused on innovation.
  • Engagement in mission-critical projects with direct impact.
  • Access to advanced tools and technologies for skill development.
Full Job Description
BigBear.ai is seeking a motivated Senior AI Engineer with a proven track record in software engineering and deep understanding of Artificial Intelligence/Machine Learning (AI/ML) techniques to support the exciting new AI and Emerging Technologies (AI&ET) mission. The engineer will work closely with mission stakeholders to capture requirements, aid in structured planning, and improve the certification process by introducing AI/ML tooling. Additionally, the engineer will use AI/ML to develop tools and techniques to include fine tuning Large Language Models (LLM) that assist in enhanced vulnerability identification and mitigation capabilities.

What you will do

Collaborate closely with technical leadership to design, develop, and maintain LLM orchestration frameworks that coordinate static analyzers, retrieval-augmented generation (RAG) systems, and automated testing pipelines. Develop and optimize data preprocessing pipelines to ingest, clean, transform, and vectorize product documentation, source code, and test results for LLM consumption. Design and implement database solutions to support RAG architectures, artifact storage, audit trails, and metadata management.

What you need to have

  • Bachelor's degree plus 8-years of relevant experience or equivalent.
  • Active TS/SCI with Poly
  • Proficiency in Python, LLM integration, and data engineering.
  • Experience with static analyzers, RAG framework, and relational and vector databases. Fa
  • Fimiliarization with Agile, Git, Jira, and Confluence.
  • Collaboratively work with systems engineers to architect and deploy networked AI tools within secure enclaves and conduct performance profiling, optimization, and scalability analysis of mission systems.
  • Support security assessments and authority to operate (ATO) processes.

What we'd like you to have

  • Familiarization with RUST, Claude Code, Codex, and CI/CD.

About BigBear.ai, Inc.

BigBear.ai is a leading provider of artificial intelligence and machine learning solutions that enable businesses to make better decisions by automating and augmenting their data analysis capabilities. The company's platform leverages advanced algorithms and data analytics tools to help organizations extract insights from large and complex data sets, and to develop predictive models that can be used to optimize business processes and improve operational efficiency. BigBear.ai's solutions are used by a wide range of industries, including defense, intelligence, finance, healthcare, and energy.
Learn more about BigBear.ai, Inc.
Size
200 employees
Market Cap
$90.6 million
Industry

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