Job Title : Senior AI Developer
Location : Washington DC (3 days onsite in a week)
Duration: 12+ Months Contract
AI DEVELOPER (Full Time) THE OVERALL PURPOSE OF POSITION: 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 o Rapidly synthesize client pain points into concise problem statements, success metrics, and guardrails o Evaluate feasibility, cost, risk, and ROI for multiple GenAI solution paths (RAG, agentic workflows, synthetic-data pipelines, etc.) o Aid in maintaining a dynamic backlog of ideas, continuously assisting in reprioritized against business value
Rapid Build & Iteration o 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 o Implement evaluation harnesses for accuracy, latency, and cost; demo tangible progress each Sprint. o Capture stakeholder feedback live and fold it into the next sprint with minimal overhead
Adapt & Enhance o Refactor architecture as user requirements shift or new data sources emerge o Introduce cutting-edge libraries or architectures when they offer measurable uplift o Document decision trade-offs and lessons learned for future waves
Hardening & Transition o Elevate promising POCs into client-compliant pilots and integrate CI/CD pipelines o Produce all delivery artifacts: architecture diagrams, security traceability, runbooks, video demos o Alignment to USAC and AFS security practices o Creating/Updating existing relevant client documentation
Aiding in creation of video demos
Conducting live demos o Guide pilots through acceptance, hand-off, and sustainment planning with operations teams Emerging-Tech Tracking & Best Practices o Track novel GenAI trends (open-source LLMs, small-context agents, memory efficient RAG) and run spike proofs to gauge fit o Present briefings to the Innovation leadership (when applicable) and seed reusable patterns into our internal asset library o Mentor junior practitioners on prompt engineering, token-cost governance, and evaluation best practices QUALIFICATION AND EXPERINECE: Bachelor's degree in technology, innovation, or related field of study 3+ years delivering data products or full stack applications 1+ years building & deploying GenAI applications
Practical understanding of technologies like:
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 < 90 days
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.
EEO: Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.
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