What are the responsibilities and job description for the AI Developer position at Jobs via Dice?
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Note: Hybrid Role (2-3 days on-site)
Scope Of Work:
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 daysExceptional 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
Note: Hybrid Role (2-3 days on-site)
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