AI Engineer - Generative AI &Agentic Systems
Core
Design, develop, and implement agentic AI workflows and LLM-powered applications to support end-to-end digital sales journeys and provide personalized product recommendations.
Role type
Senior IC Generative AI Engineer (Agentic Systems & RAG)
Builds
AI-powered Product Advisor, agentic workflows, RAG solutions, multi-agent architectures
Domain
Financial services, telecommunications, automotive, energy
Deliverable
production ML models | product features
Required skills
Python, FastAPI, Generative AI, LLM-powered applications, Prompt Engineering, Function Calling, Agentic AI systems, Multi-Agent architectures, Context Management, Memory Systems, Structured Outputs, Retrieval-Augmented Generation (RAG), Embeddings, Vector databases, Retrieval optimization, Hybrid search, Azure AI Search, LangChain, LangGraph, LangFuse, DeepEval, G-Eval, AI observability, PgVector, Redis, Docker, Kubernetes, CI/CD pipelines, Microsoft Azure
Preferred skills
None stated
Technologies
LangChain, LangGraph, LangFuse, DeepEval, G-Eval, OpenAI APIs, Azure AI Search, PgVector, Redis, Docker, Kubernetes
Responsibilities
Design and implement agentic AI workflows and intelligent customer advisory capabilities; Build and optimize LLM-powered applications including RAG and multi-agent architectures; Develop scalable AI solutions using LangChain, LangGraph, and LangFuse; Design and implement production-grade REST APIs using Python and FastAPI; Establish quality assurance and automated evaluation approaches for AI-driven interactions; Implement AI observability and monitoring; Contribute to deployment and operationalization of Generative AI solutions; Collaborate with business stakeholders and technical teams.
Seniority
Senior, hands-on IC
