Deep AI native software engineering
Core
Design, build, and integrate hands-on AI system components including agentic workflows, RAG pipelines, and model fine-tuning for enterprise clients.
Role type
Senior hands-on AI Engineer (Agentic & Generative AI)
Builds
Production AI agent systems, orchestration logic, RAG pipelines, and fine-tuned models
Domain
Enterprise AI, Generative AI, Agentic Systems, Cloud ML
Deliverable
production ML models | product features
Required skills
Python, agentic system design, LLM orchestration, RAG pipeline development, model fine-tuning, vector database integration, prompt engineering, security guardrails, observability, cloud platform operationalization
Preferred skills
Open source ecosystem expertise, transformer architecture knowledge, multi-agent workflow design
Technologies
Python, vector databases, cloud vendors, open source agent orchestration libraries, foundation models
Responsibilities
Design and build individual AI agents with tools and skills; implement agent orchestration logic for task handoffs and error recovery; build evaluation harnesses for agent quality; integrate foundation models into applications; build model fine-tuning pipelines; develop ingestion pipelines for unstructured content; implement memory components and context management; build input/output guardrails and PII redaction; implement versioning, audit logging, and lineage tracking; instrument components with logging and tracing; contribute to monitoring and cost tracking.
Seniority
Senior, hands-on IC
