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Bigbear.ai

Operational AI platform for decision support

Forward Deployed Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USANo salary listed

About the Job

Requirements

  • Minimum of 5–10 years of relevant software engineering experience, including Python; customer-facing experience is strongly preferred.
  • At least 1 year of practical experience using Generative AI to build automation and agents; no specific degree is required.
  • Strong prompt engineering skills and experience with Generative AI frameworks, plus expertise delivering secure solutions on leading cloud infrastructures.
  • Ability to identify innovative ways to enhance customer impact using Ask Sage and communicate complex concepts clearly to technical and non-technical stakeholders.
  • Strong project management skills to own project execution from start to finish and adapt to customer needs.
  • Ability to obtain a Secret Clearance.
  • Must currently reside in the United States.
  • Must work from the customer location on an as-needed basis and be willing to travel to meet customer objectives.

Responsibilities

  • Research and work closely with key decision-makers to understand customer business processes, identify areas where Ask Sage can add value, and provide in-depth training to end users.
  • Assist customers with Generative AI issues, providing hands-on support from concept through deployment to deliver practical solutions to complex challenges.
  • Architect, develop, and maintain Generative AI agents and plugins using Python and related frameworks.
  • Embed with customers to provide technical leadership and solutions, driving work from initial concept to production deployment.
  • Build Generative AI features that help customers automate tasks and processes, developing full-stack solutions within Ask Sage.
  • Develop relationships with customers and their leadership to maximize application value and efficiency.
  • Implement best practices for code quality, security, including knowledge of common vulnerabilities, and performance optimization.
  • Write clean, efficient, maintainable code with a focus on security and data privacy.
  • Stay current with trends and advancements in Python development, Generative AI, and relevant technologies.
  • Collaborate with cross-functional teams to integrate Generative AI solutions into existing systems.

Desired Qualifications

  • Experience with retrieval-augmented generation (RAG).
  • Experience with Docker, Kubernetes, and continuous integration/continuous delivery (CI/CD) pipelines.
  • Knowledge of government compliance frameworks, including FedRAMP, NIST AI RMF, and CMMC 2.0.
  • Customer-facing experience.

About the Company

Bigbear.ai

Operational AI platform for decision support

BigBear.ai builds operational AI software that helps organizations improve decision-making, cyber operations, and business agility. Its platform combines AI-driven analytics on an organization’s data with external inputs to give a full, real-time view of the environment, uncover new insights, and produce accurate predictions. The product works by integrating data from internal systems and external sources, applying advanced analytics to surface actionable intelligence, and enabling fast, informed actions in complex settings. What sets BigBear.ai apart is its depth of expertise in operational AI and its ability to optimize existing data with additional inputs, delivering data mining and predictive capabilities that go beyond traditional intelligence tools. Its goal is to help clients succeed in mission-critical environments—such as government intelligence, healthcare, and manufacturing—by improving efficiency, risk management, and operational performance.

Company size
501-1,000
Company stage
IPO
Headquarters
Tysons, VA
Founded
2020

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