AI Developer

OverviewWe are looking for a highly skilled AI Developer to design, build, and optimize advanced AI solutions across predictive, generative, and autonomous system domains. This role requires strong hands-on engineering capabilities, deep familiarity with modern AI architectures, and the ability to translate mission needs into robust, production-ready AI capabilities. The Senior AI Developer will work across the full stack of AI development, from data ingestion and model experimentation to application integration, orchestration, and deployment, and will collaborate closely with product teams, LLMOps engineers, designers, and mission stakeholders.ContributionsDevelop 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.Translate user needs and mission workflows into intuitive, reliable AI-powered features through active partnership with designers and product teams.Implement secure-by-design and trustworthy AI practices, including safety guardrails, input sanitization, content filtering, and integration of evaluation metrics.Contribute to internal AI frameworks, code patterns, and shared accelerators that raise delivery quality across the AI & Data Exploitation Practice.Mentor junior developers, conduct code reviews, and support engineering excellence across multi-disciplinary AI delivery teams.Stay current with emerging AI techniques, libraries, foundation models, and agent frameworks, evaluating their applicability to client missions.You will contribute to the growth of our AI & Data Exploitation Practice!QualificationsAbility to hold a position of public trust with the U.S. government.Bachelor’s degree and 5 years of relevant experience; ORMaster's degree and 3 year of relevant experience; ORNo degree and 9 years of relevant experience. Proficiency in Python; comfortable working across the AI/ML tooling ecosystemSolid understanding of RAG architectures — chunking strategies, embedding models, vector stores, retrieval evaluationExperience with at least one LLM orchestration framework (LangChain, LlamaIndex, LangGraph, CrewAI, or equivalent)Strong prompt engineering skills — system prompts, few-shot design, chain-of-thought, and iterative refinementExperience containerizing and deploying applications with DockerProficiency with Git and collaborative version control workflowsAbility to read and write REST APIs; comfortable integrating third-party services and modelsStrong communication skills — you will interact with clients and translate fuzzy requirements into working systemsAbility to hold a position of public trust with the U.S. government.PreferredExperience with cloud-native AI services, particularly AWS Bedrock for managed LLM inferenceFamiliarity with serverless compute (AWS Lambda) and managed ETL pipelines (AWS Glue) for data ingestion workflowsWorking knowledge of vector and relational data stores including AWS RDS Postgres (pgvector) and OpenSearchContainer orchestration experience with Kubernetes for deploying and scaling AI servicesCI/CD pipeline experience with Jenkins or similar build orchestration toolsObservability and logging experience for LLM pipelines — LangSmith, Arize, or equivalentFamiliarity with LLM evaluation frameworks such as RAGAS or DeepEval for measuring RAG and model qualityHands-on experience with workflow automation platforms — n8n, Prefect, Airflow, or similarExperience with MCP and tool-serving infrastructure (MCPO or similar)Experience designing multi-agent systems with agent-to-agent coordination patternsExperience with graph databases (Neo4j, Memgraph) and Graph RAG approachesPrior consulting, agency, or client-delivery experienceAbout steampunkSteampunk 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 $140,000 to $190,000. 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 StatementAs 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 .Job SummaryJob ID: 7863Clearance Requirement: Public Trust