Deep AI native software engineering
Core
Design, build, and integrate AI system components including agentic workflows, RAG pipelines, and model fine-tuning for enterprise clients.
Role type
Senior IC AI Engineer (Agentic Systems & Generative AI)
Builds
Production AI agent systems, orchestration logic, RAG pipelines, and fine-tuned models
Domain
Enterprise AI / Generative AI / Agentic Systems
Deliverable
production ML models
Required skills
Python, LLM orchestration, RAG pipeline development, model fine-tuning, vector databases, prompt engineering, security guardrails, PII detection, observability
Preferred skills
Open source ecosystem expertise, transformer architectures, multi-agent system design
Technologies
Python, Vector databases, LLM frameworks, Cloud platforms
Responsibilities
Design and build AI agents with tools and skills; Implement agent orchestration and error recovery; Build evaluation harnesses for agent quality; Integrate foundation models and fine-tune them; 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
Mid-to-Senior, hands-on IC