SEI AI Division
AssociateAIEngineer-MissionInnovationLab
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“Associate AI Engineer - Mission Innovation Lab at SEI AI Division. Skills: AI models, Agentic workflows, RAG pipelines, CI/CD, LLMs. Design AI models. Develop AI models”
Industry & Context.
Analytical thinking; Decompose complex AI problems; Iterate rapidly
Background investigation, Obtain and maintain active Department of War (DoW) security clearance, Work onsite 5 days per week
What They're Looking For.
Must Have
Bachelor's degree in Computer Science, Machine Learning, Statistics, Applied Mathematics, or a related field with at least three (3) years of relevant experience, MS degree in the same with at least one (1) year of relevant experience, Active Department of War (DoW) security clearance, Proficiency in Python, Proficiency in at least one compiled language (C/C++ or Java), Experience with REST/GraphQL APIs, Experience with containerization, Grasp of ML theory, Hands-on experience fine-tuning LLMs, Hands-on experience using Hugging Face Transformers, Hands-on experience using LangChain, Hands-on experience using comparable agent tools, Familiarity with building RAG pipelines, Experience applying PEFT/LoRA methods, Experience building evaluation frameworks, Experience building benchmarks, Experience building data quality pipelines
Nice to Have
Experience with TensorFlow, Experience with PyTorch, Knowledge of data-pipeline tools (Airflow, Prefect, Ray), Awareness of DevSecOps practices, Deploying LLM APIs (FastAPI, gRPC) at scale, Building multi-tool agents, Building planner-executor loops, Building tool-calling pipelines, Conducting adversarial testing, Implementing input sanitization, Contributing to AI-safety research, Utilizing GPU/TPU resources, Mixed-precision training, Distributed training frameworks (DeepSpeed or ZeRO), Prior work on defense, intelligence, or government-focused AI projects, Familiarity with DoW acquisition or compliance processes, Contributing to open-source AI and ML libraries, Contributing to agentic frameworks, Contributing to context-protocol implementations
What You'll Do.
Design autonomous agents
Design multi-step pipelines
Employ Model Context protocol
Build Retrieval-Augmented Generation pipelines
Combine knowledge bases with LLMs
Implement end-to-end data pipelines
Implement ETL processes
Implement back-end services
Create CI/CD pipelines for model training
Create CI/CD pipelines for validation
Create CI/CD pipelines for containerized deployment
Maintain model registries
Maintain version control
Produce rapid prototypes
Conduct robustness testing
Conduct adversarial testing
Work closely with senior ML engineers
Work closely with software developers
Work closely with government sponsors
Contribute to design reviews
Contribute to documentation
Stay current with LLM architectures
Stay current with agentic paradigms
Stay current with PEFT/LoRA methods
Stay current with AI-safety
Translate new research into operational capabilities
Deploy LLM APIs at scale
Handle load balancing
Build multi-tool agents
Build planner-executor loops
Build tool-calling pipelines
Conduct adversarial testing
Implement input sanitization
Contribute to AI-safety research
Utilize GPU/TPU resources
Perform mixed-precision training
Perform distributed training
Work on defense projects
Work on intelligence projects
Work on government projects
Contribute to open-source AI libraries
Contribute to open-source ML libraries
Contribute to agentic frameworks
Contribute to context-protocol implementations
How You'll Work.
Team & Collaboration
Collaborate with senior researchers; Collaborate with software engineers; Collaborate with government sponsors; Collaborate in interdisciplinary groups; Contribute to shared codebases
Communication Scope
Written communication; Verbal communication; Presenting results
Process & Methodology
CI/CD, GitOps
Full Job Description
At the SEI AI Division, we conduct research in applied artificial intelligence and the engineering questions related to the practical design and implementation of AI technologies and systems. We currently lead a community-wide movement to mature the discipline of AI Engineering for Defense and National Security. As our government customers adopt AI and machine learning to provide leap-ahead mission capabilities, we * build real-world, mission-scale AI capabilities through solving practical engineering problems * discover and define the processes, practices, and tools to support operationalizing AI for robust, secure, scalable, and human-centered mission capabilities * prepare our customers to be ready for the unique challenges of adopting, deploying, using, and maintaining AI capabilities * identify and investigate emerging AI and AI-adjacent technologies that are rapidly transforming the technology landscape Are you creative, curious, energetic, collaborative, technology-focused, and hard-working? Are you interested in making a difference by bringing innovation to government organizations and beyond? Apply to join our team. **Overview** As an associate AI Engineer who thrives at the intersection of deep‑learning research and production‑grade software development, you will translate cutting‑edge AI concepts into robust, mission‑scale solutions for the warfighting community. You will work comfortably with large‑scale foundation models such as GPT and LLaMA, designing and deploying agentic workflows, as well as apply and advance traditional ML research and engineering across domains such as natural language processing, computer vision, time series forecasting, and other predictive analytics. You will collaborate closely with senior researchers, software engineers, and government sponsors to define problem statements, iterate on experimental designs, and deliver secure, reliable AI capabilities that meet stringent mission requirements. The Mission Innovation Lab within
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