Steampunk is looking for a Senior AI Developer to design, build, and optimize advanced AI solutions across predictive, generative, and autonomous system domains to translate mission needs into robust, production-ready AI capabilities.
Requirements
- Strong proficiency in Python and modern AI frameworks such as PyTorch , TensorFlow, Hugging Face Transformers, LangChain , LlamaIndex , or similar.
- Demonstrated ability to design and develop production-grade AI applications, including APIs, back-end services, orchestration logic, and front-end integrations (when needed).
- Experience implementing RAG architectures , embeddings, vector stores, and context retrieval patterns.
- Familiarity with multi-agent orchestration frameworks, prompt engineering strategies, and advanced LLM interaction design.
- Strong understanding of cloud platforms (AWS, Azure, GCP), including compute , serverless services, and security fundamentals for AI workloads.
- Working knowledge of containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines for AI-based systems.
- Understanding of responsible AI principles including safety, fairness, privacy, and model risk mitigation.
Responsibilities
- Develop end-to-end AI solutions including LLM-powered applications, predictive ML models, multi-agent workflows, RAG pipelines, and specialized AI microservices.
- Implement reusable AI components, libraries, and APIs that streamline application development and accelerate delivery across programs.
- Integrate AI models with enterprise systems, APIs, data platforms, vector databases, and cloud-native services to deliver scalable mission capabilities.
- Drive iterative experimentation, prototyping, and model improvement cycles in collaboration with Data Scientists and AI Evaluation Scientists.
- Design and implement advanced prompt strategies, context management layers, retrieval systems, and LLM orchestration logic.
- Build scalable inference services, optimize model performance, and collaborate with LLMOps to enable robust deployment, monitoring, and continuous improvement.
- Implement secure-by-design and trustworthy AI practices, including safety guardrails, input sanitization, content filtering, and integration of evaluation metrics.
Other
- Ability to hold a position of public trust with the U.S. government.
- Bachelor’s degree and 8 years of experience.
- 5+ years of hands-on software engineering experience, with at least 2+ years focused on AI/ML, generative AI, or LLM-driven application development.
- Strong analytical and communication skills with the ability to collaborate across engineering, design, and mission domains.
- Proven experience mentoring teammates and raising the technical bar of development teams.
