AI Engineer

CrewAI AutoGen Planning Research Equities PineCone Weaviate DevSecOps LangChain AI Safety AI Agents Langgraph Vertex AI Automation Resilience Kubernetes Agentic AI Market Data Nvidia CUDA AWS Bedrock AI Research Coordinating Azure OpenAI Communication Observability Trustworthiness Semantic Search Vector Database Ancient History Computer Science Machine Learning Docker (Software) Edge Intelligence Windows PowerShell Prompt Engineering Workflow Management Multi-Agent Systems Software Engineering Cloud-Native Computing Intellectual Curiosity Application Deployment API System Integration Artificial Intelligence Complex Problem Solving Bash (Scripting Language) Python (Programming Language) Ethical Standards And Conduct Systems Development Life Cycle Microsoft Certified Professional Generative Artificial Intelligence PyTorch (Machine Learning Library) Artificial Intelligence Infrastructure, We're seeking motivated mid-level AI engineers to solve complex problems across enterprise IT, defense, intelligence, health, and energy domains. This role centers on designing, deploying, and securing generative AI and agentic AI systems that improve workflows and unlock new operational capabilities. You'll help build AI solutions for critical missions across defense, intelligence, healthcare, energy, and space. Our focus is Trusted Mission AI - systems that are secure, transparent, resilient, and accountable. You'll work with multidisciplinary teams to transition cutting-edge AI research into operational environments where accuracy, security, and reliability are essential., * Partner with Agentic AI scientists and engineers to design, build, and deploy AI agents that automate and optimize complex workflows.

• Support both R&D and customer-facing programs, accelerating the transition of applied AI research into operational impact.
• Develop software and infrastructure for agent communication, API integration, orchestration, monitoring, testing, and deployment.
• Build and maintain agentic workflows using open-source and commercial LLMs, agent frameworks, and retrieval systems.
• Design approaches for evaluating and securing AI agents, ensuring reliability, performance, and trustworthy outcomes.
• Ensure AI systems align with ethical, transparency, fairness, and security principles., Related Jobs Ai Engineer TEKsystems San Diego, CA*Remote Finance Operations Automation Governance Innovation Agentic AI Scalability AWS SageMaker Decision Making Machine Learning Intelligent Agent Business Valuation Workflow Management Business Operations Amazon Web Services Multi-Agent Systems Cloud-Native Computing Full Stack Development Artificial Intelligence Business Transformation Critical Illness Insurance Generative Artificial Intelligence Artificial Intelligence Infrastructure +0 AI Engineer Leidos Remote Linux CrewAI AutoGen Planning Research Equities PineCone Weaviate DevSecOps LangChain AI Safety AI Agents Langgraph Vertex AI Automation Resilience Kubernetes Agentic AI Market Data Nvidia CUDA AWS Bedrock AI Research Coordinating Azure OpenAI Communication Observability Trustworthiness Semantic Search Vector Database Ancient History Computer Science Machine Learning Docker (Software) Edge Intelligence Windows PowerShell Prompt Engineering Workflow Management Multi-Agent Systems Software Engineering Cloud-Native Computing Intellectual Curiosity Application Deployment API System Integration Artificial Intelligence Complex Problem Solving Bash (Scripting Language) Python (Programming Language) Ethical Standards And Conduct Systems Development Life Cycle Microsoft Certified Professional Generative Artificial Intelligence PyTorch (Machine Learning Library) Artificial Intelligence Infrastructure +0

• Bachelor's degree in Computer Science, Engineering, or related field with 4+ years of directly related experience in AI / Automation / MLOps.
• Strong intellectual curiosity and ability to work independently.
• Experience developing agentic AI systems, including planning-execution-reflection loops, multi-agent coordination, tool use, API integration, RAG, and memory/context management.
• Hands-on experience with generative AI and NLP techniques including prompt engineering, semantic search, summarization, and entity extraction.
• Working knowledge of LLMs and frameworks such as LangChain, LangGraph, CrewAI, AutoGen, MCP, or A2A.
• Experience with vector databases such as Pinecone, Weaviate, or FAISS.
• Proficiency in Python and modern software engineering practices.
• Familiarity with SDLC and DevSecOps methodologies.
• Experience deploying applications in containerized or virtualized environments such as Docker, Kubernetes, or VMware.
• Ability to mentor junior engineers and contribute within collaborative technical teams.
• U.S. citizenship required with ability to obtain a Secret clearance., * Experience implementing AI safety, guardrails, and bias-mitigation strategies for autonomous and multi-agent systems.
• Familiarity integrating AI agents with cloud-native systems, streaming pipelines, and real-time operational environments.
• Experience with AI evaluation and observability tools such as LangSmith or OpenAI Evals.
• Experience integrating AI services such as Azure OpenAI, Amazon Bedrock, Google Vertex AI, or NIMS.
• Proficiency with Linux Bash, PowerShell, or similar automation tools.
• Experience optimizing ML workloads using CUDA, PyTorch, or TensorFlow.

Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits .

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares., Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com .