Gen AI Full-Stack Engineer

Design, test, and improve enterprise-grade prompts , system instructions, schemas, and agent workflows.

Build multi-step agentic pipelines , self-refining loops, and deterministic fallback logic.

Implement PromptOps : versioning, evaluations, regression testing, hallucination mitigation, token optimization, and governance.

Build RAG pipelines , vector search, memory layers, and grounding strategies.

Develop Python-based microservices (FastAPI, async patterns, REST APIs).

Deliver full-stack AI applications (React, TypeScript) used by analysts for multi-turn AI interactions.

Manage GitHub, CI/CD, testing, branching, and release automation .

Integrate AI services through serverless, containerized, and event-driven architectures .

Deploy AI workloads on Azure App Services, Functions, AKS, Logic Apps, Event Grid .

Implement IaC using Azure Bicep / ARM .

Enforce security, RBAC, Vault, secrets management, and runtime policies .

Increase cost, performance, observability, and reliability .

Build embeddings, feature pipelines, telemetry, and drift detection .

Perform data analysis and experimentation using KQL and Splunk SPL.

Support model selection, fine-tuning strategies, safety constraints, and evaluation frameworks .

Translate ambiguous needs into measurable AI workflows .

Partner with security, engineering, and product teams.

Produce clear documentation (architecture, prompts, runbooks).

Be an internal subject matter expert for agentic systems and modern AI development patterns .