AI Developer

Job Title AI Developer Location Washington, DC Job Description Support "AI pod" and analyze client needs, stand up prototypes, and convert those prototypes into secure, production‑ready applications. Will own the end‑to‑end development life cycle for changing client efforts while constantly scouting, testing, and injecting emerging AI technologies into the process. Candidate must pair an exceptional delivery discipline with hands‑on engineering agility, moving seamlessly from whiteboard to working demo and back again. Scope of Work Exploration & Scoping Rapidly synthesizing client pain points into concise problem statements, success metrics, and guardrails. Evaluate feasibility, cost, risk, and ROI for multiple GenAI solution paths (RAG, agentic workflows, synthetic‑data pipelines, etc.). Aid in maintaining a dynamic backlog of ideas, continuously assisting in reprioritizing against business value. Rapid Build & Iteration Spin up end‑to‑end prototypes using technologies like AWS Bedrock / SageMaker, FastAPI, Streamlit React, Next.js, or whatever framework or architecture efficiently to meet client needs. Implement evaluation harnesses for accuracy, latency, and cost, demo tangible progress each Sprint. Capture stakeholder feedback and fold it into the next sprint with minimal overhead. Adapt & Enhance: Refactor architecture as user requirements shift or new data sources emerge. Introduce cutting‑edge libraries or architectures when they offer measurable uplift; Document decision trade‑offs and lessons learned for future waves. Elevate promising POCs into client‑compliant pilots and integrate CI/CD pipelines. Produce all delivery artifacts: architecture diagrams, security traceability, runbooks, video demos. Alignment to Client's and AFS security practices. Aiding in creation of video demos. Conducting live demos: Guide pilots through acceptance, hand‑off, and sustainment planning with operations teams. Emerging‑Tech Tracking & Best Practices: Track Client GenAI trends (open‑source LLMs, small‑context agents, memory efficient RAG) and run spike proofs to gauge fit. Present briefings to the Innovation leadership (when applicable) and seed reusable patterns into our internal asset library. Mentor junior practitioners on prompt engineering, token‑cost governance, and evaluation best practices. Qualifications and Experience Bachelor's degree in technology, innovation, or related field of study. 3 years delivering data products or full stack applications. 1 year building & deploying GenAI applications. AWS core services using Bedrock or SageMaker for LLM hosting. Java, Python, FastAPI, Docker, GitHub Actions, Terraform or AWS CDK. React / Next.js, TypeScript, and modern vector stores. LangChain, LlamaIndex, LangGraph, or equivalent RAG / agent frameworks. Demonstrated ability to compress ideation demo hardened pilot into Exceptional verbal, written, and presentation skills. Able to translate technical insights into executive‑ready stories. High comfort operating in fast‑paced, ambiguous environments where priorities shift rapidly. Ampcus is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veterans or individuals with disabilities. Helping all candidates find great careers is our goal. The information you provide here is secure and confidential. We are now directing you to the original job posting. Please apply directly for this job at the employer’s website. #J-18808-Ljbffr Ampcus, Inc