AI Developer

Overview: We are seeking an experienced AI Developer to serve as a technical authority and product-focused subject-matter expert across our predictive and generative AI solution portfolio. This role will provide expert guidance on the architecture, design, development, and delivery of enterprise-grade AI applications—spanning LLM-powered systems, RAG pipelines, agents, multimodal solutions, and custom machine learning models. The AI Developer / Product SME will work closely with engineering, product, UX, evaluation, governance, and client leadership to define AI capabilities that meaningfully support mission outcomes. Contributions: Serve as the senior technical expert for the design and implementation of production AI systems, advising teams on architecture, model selection, orchestration strategies, and optimal development patterns. Lead the creation of scalable, reusable AI components, services, and frameworks that accelerate delivery across the organization. Partner with product teams to translate mission challenges into well-defined AI-enabled features, workflows, and technical requirements. Provide deep expertise on LLMs, embedding models, fine-tuning techniques, agentic systems, and retrieval-augmented generation (RAG) architectures. Guide engineering teams on best practices for prompt engineering, context management, document processing, evaluation-driven iteration, and safe system design. Collaborate with LLMOps teams to ensure robust deployment patterns, monitoring strategies, inference optimization, and lifecycle management of AI models and pipelines. Conduct technical reviews, validate solution designs, and ensure alignment with enterprise architecture, governance policies, and client goals. Mentor senior engineers and guide teams through complex AI development challenges with a focus on software engineering excellence and user-centered design. Stay current with emerging AI technologies, research, frameworks, and foundational models; evaluate their suitability for client missions and incorporate learnings into practice standards. Act as an expert advisor in client-facing discussions, helping stakeholders understand capability tradeoffs, risks, and opportunities associated with AI solutions. Contribute to the development of accelerators, design patterns, internal best-practice guides, workshops, and training to expand AI delivery maturity across the practice. Qualifications: Ability to hold a position of public trust with the US government. Bachelor’s degree and 10 years of experience OR Master's degree and 8 years of experience Advanced working SQL knowledge and experience working with relational databases, query authoring and optimization (SQL) as well as working familiarity with a variety of databases. Hands-on experience with LLMs and Generative AI (OpenAI, Bedrock, etc.) Strong experience with frameworks (e.g., PyTorch, TensorFlow, LangChain) Experience building production-grade AI systems Python and API-driven architecture experience Cloud experience (preferably AWS) Conversational AI / chatbot experience Vector databases, embeddings, and RAG patterns Experience in secure/regulatory environments About steampunk : Steampunk relies on several factors to determine salary, including but not limited to geographic location, contractual requirements, education, knowledge, skills, competencies, and experience. The projected compensation range for this position is $145,000 to $185,000. The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunk’s total compensation package for employees. Learn more about additional Steampunk benefits here. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Steampunk is a Change Agent in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors. Through our Human-Centered delivery methodology , we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges. As an employee owned company , we focus on investing in our employees to enable them to do the greatest work of their careers – and rewarding them for outstanding contributions to our growth. If you want to learn more about our story, visit .