Senior AI Engineer - Generative AI (hybrid)

- Bachelors Degree in Engineering, Computer Science, or a related field - Proficient in Python and at least one compiled language (C++, Go, or Java) - Knowledge of containerization tools (Docker or Podman) and orchestration (Kubernetes) - Experience with LLM frameworks/libraries (e.g., Hugging Face Transformers, LangChain, OpenAI API) - Strong background in software engineering and computer science Desired Skills: - Masters Degree in Engineering, Computer Science, or a related discipline - Familiarity with prompt engineering, few-shot learning, and model alignment techniques - Experience in designing and implementing API-first services (REST, gRPC, GraphQL) - Ability to work with communication protocols like REST or gRPC - Proficient in Test-Driven Development from both unit and system/acceptance perspectives - Experience in software orchestration (Kubernetes, Helm, Istio/Linkerd) and modern GitOps workflows - Understanding of CI/CD pipelines for machine learning (MLflow, Kubeflow, GitHub Actions) - Experience in developing microservices and microservice architectures - Familiarity with defense mission systems and real-time embedded software engineering - Experience with hardware-accelerated computing for CPUs and GPUs (e.g., CUDA, Intel oneAPI) - Background in model deployment software libraries (e.g., NVIDIA TensorRT, Triton Inference Server) - Experienced in deploying AI-enabled systems across diverse environments (cloud, edge devices) - Knowledge of high-performance computing and database interfacing (SQL, MongoDB) - Leadership experience or experience leading small engineering teams - Familiar with transitioning prototype software to production environments - Top Secret / SCI Clearance is required for this position