AI Solutions Engineer
Core
Develop and scale AI agents, LLM applications, and AI workflows; build RAG architectures, data pipelines, and retrieval solutions; integrate LLMs and AI services into enterprise systems.
Role type
AI Solutions Engineer (LLM & RAG focus)
Builds
Production-ready AI agents, RAG architectures, and scalable enterprise AI workflows
Domain
Enterprise AI / Generative AI / MLOps
Deliverable
production ML models | product features
Required skills
Python, APIs, RAG, Embeddings, Vector databases, SQL, LLM API integration, Agent frameworks, Prompt engineering, Linux, Docker, CI/CD, DevOps, Enterprise AI operationalization
Preferred skills
None stated
Technologies
Docker, Kubernetes, CI/CD tools, LLM APIs, Vector databases
Responsibilities
Develop and scale AI agents and LLM applications; Build RAG architectures and data pipelines; Integrate LLMs and AI services into existing systems; Develop containerized services for production; Establish CI/CD, testing, and deployment processes; Convert PoCs into robust enterprise solutions; Evaluate new AI technologies
Seniority
Mid-level to Senior, hands-on IC