Steampunk is seeking an AI Innovation Engineer to support client delivery teams in bringing modern AI solutions to life within public-sector organizations, helping clients understand the potential of AI, design proofs-of-concept, and build working prototypes that demonstrate value in their specific mission context.
Requirements
- Demonstrated hands-on experience with modern GenAI tooling, such as OpenAI (GPT-4), Claude, Gemini, Llama 3
- LangChain, LlamaIndex, or similar RAG frameworks
- AWS Bedrock, GCP Vertex AI, Azure OpenAI Service
- Vector databases (e.g., FAISS, Pinecone, Weaviate, Chroma)
- Strong Python development skills with familiarity in building data pipelines, API wrappers, and lightweight front-ends for demos
- Familiarity with DevSecOps and CI/CD principles
- Familiarity with GitHub
Responsibilities
- Client AI Enablement & Education: Serve as a trusted advisor to the client organization on modern AI capabilities, best practices, and responsible use
- Prototyping & Proof-of-Concepts: Design and implement AI prototypes and proof-of-concept solutions tailored to specific mission use cases
- Cross-Functional Integration: Participate in communities of practice and cross-team working groups to ensure AI adoption is aligned with broader modernization goals
- Standards, Security & Compliance: Ensure all AI solutions are designed with responsible AI principles, data sensitivity awareness, and security-first practices
- Develop AI education materials, tutorials, demo videos, and onboarding sessions that are tailored to the client organization’s needs
- Lead or support AI enablement events such as workshops, lunch-and-learns, innovation sprints, and capability briefings
- Leverage RAG pipelines, orchestration frameworks (LangChain, LlamaIndex), and LLM APIs to rapidly deliver working demos
Other
- Ability to hold a position of public trust with the US government
- Bachelor’s or Master's in Computer Science, Artificial Intelligence, Machine Learning, or a related field
- 3+ years of experience in software engineering, data engineering, or applied AI/ML roles
- Experience engaging with external clients or business stakeholders in a consultative role
- Relevant Professional Certification(s)
