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Added 1 min ago
A
Software Engineer (AI Agents)
Akur8
New York City, NY
- $170,000 to $190,000 USD / year
- Proficiency with LLM APIs, agent frameworks, and modern retrieval patterns. You stay current as the field moves. We don't need classical ML expertise - we need someone on the frontier of…
Added 6 mins ago
Principal Technical Product Manager - Quantum-HPC and AI Integration
QuEra Computing, Inc.
Boston, MA
…2028, will live within AWS’ vast managed compute platform and developer ecosystem. The subsequent machines of the Libra class and beyond are already being planned for on-prem and…
Added 22 mins ago
Senior Staff Software Engineer, AI Telemetry and Developer Intelligence
Google
San Jose, CA
…are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent,…
Added 22 mins ago
Senior Software Engineer, ML Performance, GenAI, DeepMind
DeepMind
Mountain View, CA
…in production and research ML workloads, with an emphasis on LLM inference - including serving latency, throughput, and cost per token - as well as the emerging demands of agentic workflows…
Added 24 mins ago
LC
AI- Enabled Developer
LIBERTY COMPANY INSURANCE BROKERS LLC
Remote, United States
- $100,000 to $140,000 USD / year
We’re seeking a talented AI-Enabled Developer to join our vibrant team. If our values resonate with you, and you’re looking for a workplace where culture comes first, we can’t wait to get…
Added 26 mins ago
Equities Prime Finance In Business Risk Structurer, Assistant Vice President or Vice President
Citigroup
New York, NY
Programming language(s) and integrative use of LLM to build analytical efficiencies a plus.
Added 26 mins ago
AI Product Engineer
Capco
NY
…including familiarity with prompt engineering, RAG, AI agents, and LLM-based…
Added 26 mins ago
Staff Software Engineer, Reef Intent Engine
Google
New York, NY
Experience building AI agent harnesses, MCP servers, LLM evaluation pipelines, or neuro-symbolic systems that verify agent infrastructure actions.
Added 26 mins ago
Delivery Practice Manager - AI/ML, Data & AI (ProServe)
Amazon
New York, NY
Added 26 mins ago
GenAI Infra Specialist SA, AWS WWSO Startup
Amazon
New York, NY
…distillation, and efficient serving techniques (vLLM, TensorRT-LLM,…
Added 27 mins ago
Forward Deployed AI Engineer - Agentic Systems Lead
EPAM Systems
New York, NY
8+ years of software engineering experience with recent hands-on leadership of agentic or LLM-based systems in production environments
Added 31 mins ago
Senior Privacy Review Specialist (AI/LLM Governance)
Exadel
United States
Added 35 mins ago
Staff AI Engineer
Jobgether
Remote, United States
Design and implement reliable AI agents and tool integrations, balancing deterministic code and LLM capabilities while addressing security, latency, reliability, and cost.
Added 35 mins ago
Senior Staff Software Engineer
Jobgether
Remote, United States
…teams develop secure, cost-effective agentic workflows and LLM-powered applications. This role offers the opportunity to influence engineering practices across the organization, mentor…
Added 59 mins ago
Product Manager, Connect Deals Seller Experience, Deals and Incentives
YouTube
New York, NY
Experience integrating generative AI tools or LLM interfaces into workflows.
Added 1 hour ago
Senior Software Engineer
CoreLogic Solutions, LLC
Dallas, TX
- Design and implement AI-enabled services, LLM integrations, retrieval pipelines, semantic search, embeddings, classification, ranking, workflow automation, and decision-support…
Added 1 hour ago
Developer Relations Manager – AI Natives
NVIDIA USA
CA
We are seeking a visionary Developer Relations Manager to engage with the next generation of AI-native software companies - the builders creating entirely new categories of products powered…
Added 1 hour ago
Senior Technical Program Manager - Oracle PPM & AI-Augmented Delivery
eClerx
Austin, TX
Understand the difference between an agent that uses a deterministic Oracle extract (right) and one that calls an LLM to compute a financial figure (wrong), and enforce the distinction
Added 2 hours ago
IG
AI Engineer
Insight Global
Boca Raton, FL
- From $68 USD / hour
Demonstrated experience designing, fine‑tuning, and deploying LLM-based applications in production, including RAG pipelines and retrieval workflows.
Added 2 hours ago
Senior Software Engineer – Full Stack (Python, React, GCP)
HTC Global Services Inc
Dearborn, MI
Experience with Large Language Model (LLM) integration.
Added 2 hours ago
Product Management and Configuration Engineer
NVIDIA Corporation
North District, IL
Hands-on experience with AI/LLM tools such as ChatGPT, Claude, Codex, or Copilot for process automation, data analysis, or workflow optimization.
Added 2 hours ago
Senior Product Manager, Google Messages
Google
Mountain View, CA
Experience integrating generative AI tools or LLM interfaces into workflows.
Added 3 hours ago
IA
Supervisory Detention and Deportation Officer
Immigration and Customs Enforcement
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- $109,383 to $177,767 USD / year
Added 3 hours ago
UC
Supervisory General Engineer
U.S. Coast Guard
Norfolk County, VA
- $108,019 to $140,426 USD / year
Added 3 hours ago
UC
Housing Management Specialist
U.S. Coast Guard
Buzzards Bay, MA
- $69,905 to $90,882 USD / year

Bigbear.ai

Lead AI Engineer

UNAVAILABLE, United States

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Job details

Apply by: Nov 4, 2027
Experience: Education: Bachelor’s degree in computer science, Software Engineering, or a related field with 15 years of experience
Posting language: English
Posted: Nov 4, 2026

Original job description

Residency

All applicants must currently reside in the United States

Overview

BigBear.ai is looking for a Lead AI Engineer to drive the design, development, and deployment of generative AI and agentic systems for mission-critical Department of War (DoW) operations. This role combines hands-on engineering with technical leadership. You will set AI architecture direction, lead and mentor engineers, and work directly with government stakeholders to turn operational needs into production-ready AI capabilities.

BigBear.ai is one of the fastest-growing AI/ML companies in the industry, focused on technology-driven decision support for the DoW. Our team combines subject matter expertise, user community engagement, sensitivity to operations, and world-class software engineering. Together we help government customers gain insight into complex problems, run scenarios quickly, and make sense of large and disparate datasets across the DoW.

What you will do

As Lead AI Engineer, you will own the technical direction of AI-enabled solutions from discovery through deployment. You will work with data scientists, systems analysts, product managers, and mission users to deliver AI systems that meet the highest standards of performance, reliability, and security.

Key Responsibilities:

AI Architecture & Technical Leadership: Define and lead the architecture for generative AI solutions, including multi-agent workflows, retrieval-augmented generation (RAG), and LLM integration. Set engineering standards and best practices for building AI systems.
Agentic Systems & MCP Development: Design, build, and deploy multi-agent orchestration and custom Model Context Protocol (MCP) servers that connect AI agents securely to existing enterprise and mission systems.
LLM Integration & Optimization: Build applications against commercial and government-approved LLM endpoints (e.g., Anthropic, OpenAI, Ask Sage). Apply advanced prompt engineering, dataset routing, and confidence gating to optimize output quality and reliability.
Customer Discovery & Prototyping: Engage directly with government stakeholders to gather requirements, assess feasibility within time and cost constraints, and rapidly prototype solutions that prove mission value before scaling.
Full-Stack Development: Design, develop, document, test, and debug applications using full-stack principles across front-end, back-end, API, and data layers.
Cloud & Data Pipelines: Shape and implement cloud-forward data environments and web/data pipelines that feed AI workflows, including document ingestion, classification, and knowledge-domain routing.
AI Evaluation, Security & Assurance: Build evaluation harnesses for regression testing, citation verification, and retrieval transparency. Red-team AI systems for prompt injection and adversarial failure modes before production. Ensure solutions meet DoW security and compliance requirements (ATO, FedRAMP).
Team Leadership & Mentorship: Lead and mentor engineers on AI tooling, AI-first development practices, and adoption strategies. Promote collaboration through initiatives such as hackathons and knowledge sharing.
Roadmap Influence: Feed field-discovered gaps and user feedback into product roadmaps, and work with product leadership on release planning and prioritization.
Deployment & Monitoring: Coordinate system installations, monitor production performance, and ensure deployed AI capabilities meet specifications and mission expectations.

What you need to have

Education: Bachelor’s degree in computer science, Software Engineering, or a related field with 15 years of experience
Demonstrated experience leading engineering teams or serving as technical lead on complex software initiatives
Hands-on experience designing and deploying generative AI or agentic AI systems in operational or production environments
Experience with multi-agent orchestration, RAG, prompt engineering (few-shot, chain-of-thought), and LLM API integration
Proficiency in front-end and back-end development
Experience with key technologies:
Python, .NET / C#, Angular, TypeScript, Docker, AWS services, SQL Server, Web/Data Pipelines, Git-based CI/CD
Equivalent technologies are acceptable, such as React (instead of Angular), Java (instead of .NET), PostgreSQL (instead of SQL Server), or Azure (instead of AWS)
Experience delivering software in secure, regulated environments (ATO, FedRAMP, security hardening)
Problem-solving skills: Strong analytical abilities with a focus on delivering high-quality, mission-ready solutions
Communication: Ability to explain AI capabilities, limitations, and trade-offs clearly to both technical and non-technical stakeholders

What we'd like you to have

Experience building custom Model Context Protocol (MCP) servers
Experience with AI-assisted development tools (e.g., Claude Code, Cursor, Copilot Agents)
Experience with Helm/YAML, GitLab, Qlik, or Databricks
Experience building AI evaluation frameworks or doing adversarial testing of LLM systems
Background in data warehousing, ETL, or business intelligence
Experience integrating AI into enterprise workflow tools (e.g., Power Automate custom connectors)

Pay transparency

Please note the targeted compensation range is provided as an estimate, and any actual compensation offer may vary depending on the needs of the company, or an applicant's skillset, competencies, experience, education, certifications, location, or other factors. The estimated range does not include the value of any benefits offered.

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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