AI Data Governance Lead at Intelligen, guiding clients on data governance and AI capabilities. Focused on enabling safe, scalable, and auditable AI through structured governance frameworks.
About the role
- Junior GenAI Developer promoting AI-driven solutions by prototyping and integrating GenAI capabilities. Collaborating closely with engineers and product managers for impactful outcomes.
Responsibilities
- Prototype and integrate LLMs (OpenAI, Azure OpenAI, Anthropic, etc.) into web services, apps, and workflows.
- Support the design and development of intelligent chatbots and autonomous agents using cutting-edge GenAI technologies to support content analysis, content gap identification, content summarization and like activities.
- Implement and optimize RAG (Retrieval Augmented Generation) systems to provide accurate information retrieval and contextual responses
- Write prompt chains, system prompts, and structured outputs (JSON/XML/Markdown) for reliable responses.
- Build evaluation harnesses: test sets, metrics, and A/B experiments.
- Develop, manage, and deploy intelligent AI agents to include knowledge retrieval (RAG), allowing interaction with external APIs, databases, and applications.
- Develop connectors and RAG pipelines.
- Use open-source platforms for debugging, testing, and monitoring generative AI applications.
- Implement guardrails and safety (content and safety filters, PII scrubbing, hallucination detection, policy enforcement).
- Contribute to backend services (Python/TypeScript) and micro-APIs to operationalize AI features.
- Write observability hooks: logging, tracing, prompt/version tracking, feedback loops.
- Collaborate on model selection and cost/performance tradeoffs (latency, throughput, token cost, quality).
- Document prompt patterns, playbooks, and API usage; share learnings in reviews/demos.
Requirements
- Bachelor’s in CS/Engineering or equivalent experience (internships count)
- 0–2 years building software (internships count)
- Hands-on with at least one: Python (FastAPI, Flask) or TypeScript/Node (Express, Next.js)
- Familiarity with LLM APIs (OpenAI/Azure OpenAI/Anthropic) and prompt engineering basics
- Experience with Git, RESTAPIs, and CI/CD concepts
- Basic knowledge of cloud (AWS desired, Azure acceptable) and containers (Docker)
- Strong communication and curiosity
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
Benefits
- healthcare
- wellness
- financial
- retirement
- family support
- continuing education
- time off benefits
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