AI Developer

Scope Of Work:

• Exploration & Scoping

• Rapidly synthesize 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 reprioritized 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 live 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

• Hardening & Transition

• 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 and security practices

• Creating/Updating existing relevant client documentation

• 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 novel 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

Qualification And Experience:

• 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