Job Title: Senior Generative AI Engineer

Company Name: Peregrine Advisors

Job Details: RemoteFull,Time

Job Url: https://hiring.cafe/viewjob/a265p5tlfxtfuvii

Job Description: Posted 1d agoSenior Generative AI Engineer@ Peregrine AdvisorsView All JobsWebsiteWashington, District of Columbia, United StatesRemoteFull TimeResponsibilities:Design AI systems, Architect pipelines, Translate requirementsRequirements Summary:Senior AI engineer with AWS, LangChain, MCP, MLOps, 8+ years software/ML experience; U.S. citizenship; Bachelor's degree.Technical Tools Mentioned:AWS Bedrock, Textract, Step Functions, Lambda, Glue, CloudFormation, CDK, Cognito, Python, LangChain, Vector Databases, MCP, MLOps, GitHub
Our client is seeking a Senior Generative AI Engineer to drive internal initiatives and provide AI engineering support for a major federal agency. The role centers on developing cloud-native generative AI solutions and intelligent data pipelines on AWS, spanning intelligent document processing, computer vision, and related AI / ML domains.The ideal candidate is energized and motivated with an extreme commitment to delivery and transformational change through the use of AI. They will think about generative AI in two dimensions: as a tool that makes them and their team dramatically faster, and as a core component of the intelligent systems they build. They understand that deploying an LLM inside a production workflow is a fundamentally different engineering challenge than using one to write a function, and they have done both. They take initiative without being asked and want ownership of the firm's trajectory, not just their deliverables.Our client is a Benefit corporation - legally committed to creating measurable social value alongside business performance. They offer mission-driven, technically challenging work on complex federal initiatives, paired with direct client access, real ownership of your work product, and a culture that rewards initiative.ResponsibilitiesClient Delivery:Design and deploy production-grade Agentic AI systems where LLMs serve as operational components to reason, explain, and make decisions within live workflowsArchitect intelligent pipelines combining classical tools (OCR, fuzzy matching, structured query) with LLM-based validation, confidence scoring, fallback logic, and automated logging for auditability and continuous improvementTranslate ambiguous mission requirements into well-scoped AI system designs; apply prompt and context engineering, RAG, semantic search, and fine-tuning as appropriate; leverage AWS services including Bedrock, Textract, Lambda, and Step FunctionsUse generative AI tooling to accelerate the full development lifecycle: requirements analysis, code generation, test coverage, documentation, and deployment scaffoldingDocument and quality-assure all project work prior to client delivery; attend meetings with agency staff, vendors, and external stakeholders as neededFirm Development:Lead or contribute to business development, internal tool-building, mentorship, or publication to strengthen Peregrine's AI capabilities and market positionRequirementsCore Technologies:AWS Certification required: Certified AI Practitioner, or relevant AWS Associate, Specialist, or Professional-level certificationHands-on proficiency with AWS tools such as Amazon Bedrock, Textract, Step Functions, Lambda, Glue, CloudFormation, CDK, Cognito and related AWS servicesPython fluency including LangChain and AWS Strands; experience with vector databases and embedding workflowsExperience with Model Context Protocol (MCP) to connect LLMs to external tools, APIs, and data sources; ability to design and implement MCP servers and clients in production architecturesAdvanced SQL, cloud-native data pipeline management, and ETL workflowsDomain Expertise & Professional Skills:Expert knowledge of LLM behavior, confidence calibration, evaluation, and responsible AI principles. Knowledge includes explainability, auditability, and governance in regulated environmentsExperience with DevSecOps and MLOps: GitHub, CloudFormation, and related tools for version control, CI/CD, pipeline deployments, system and model monitoring, and drift detectionDomain knowledge of federal data environments, government IT modernization, or public sector AI adoptionExcellent written and oral communication skills; proven collaborator in professional or academic settingsProfessional Experience:Bachelor’s required, advanced degree preferred; Computer Science, Data Science, AI, Applied Mathematics, Statistics, or related quantitative field strongly preferred8+ years in software development, ML engineering, or data science; background in computer science or related technical and/or quantitative fieldsMulti-modal AI experience (vision, document understanding, structured extraction)Prior consulting, or client-services experience strongly preferredOpen-source contributions or published GenAI research preferredFamiliarity with OMB AI guidance and the NIST AI Risk Management Framework preferredU.S. citizenship; ability to obtain a Public Trust suitability determination requiredBenefitsOur client offers a comprehensive and competitive benefits package, including:Full health coverage (medical, dental, and vision) with 100% of employee premiums coveredLife and disability insurance, fully covered by the company401(k) retirement plan with 100% match on contributions up to 4% of salary with immediate vestingUnlimited Paid Time Off (PTO) to encourage work-life balanceRemote location but greater Washington, DC area preferred for hybrid engagementSponsored AWS certification trainingOur client is an equal opportunity employer.