AI Solutions Engineer
Core
Develop and scale AI agents, LLM applications, and AI workflows; build RAG architectures, data pipelines, and retrieval solutions.
Role type
AI Solutions Engineer
Builds
Containerized services for production operations; CI/CD, testing, and deployment processes; scalable enterprise AI solutions.
Domain
Enterprise AI / Large Language Models / MLOps
Deliverable
production ML models
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, LLM APIs, Agent Frameworks, SQL, Vector databases
Responsibilities
Develop and scale AI agents, LLM applications, and AI workflows; Build RAG architectures, data pipelines, and retrieval solutions; Integrate LLMs, AI services, and APIs into existing enterprise systems; Develop containerized services for production operations; Establish CI/CD, testing, and deployment processes; Convert PoCs into robust, scalable enterprise solutions; Evaluate new AI technologies.
Seniority
Mid-level to Senior, hands-on IC
