PRIMUS Global Solutions (PRIMUS UK & Europe)
Senior AI Engineer
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Job Description:
We are looking for a Senior GenAI Engineer to design and build AI-powered applications using Large Language Models (LLMs) and modern AI frameworks. The ideal candidate should have strong hands-on experience in Python, OpenAI/Azure OpenAI, Agentic AI, LangGraph, RAG, and backend development, with the ability to build scalable, production-grade AI systems.
Key Responsibilities
- Design and develop GenAI applications using OpenAI/Azure OpenAI or equivalent LLM platforms.
- Design and implement multi-agent AI solutions using LangGraph or similar agent orchestration frameworks.
- Build Retrieval-Augmented Generation (RAG) pipelines using enterprise knowledge sources, embeddings, and vector search.
- Develop scalable Python-based backend services and REST APIs.
- Integrate AI applications with enterprise systems, databases, external APIs, and business workflows.
- Optimize prompts, retrieval quality, latency, and cost for production deployments.
- Collaborate with cross-functional teams to deliver secure, scalable, and production-ready AI solutions.
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Required Skills
- Strong Python programming and backend development experience.
- Hands-on experience with OpenAI/Azure OpenAI APIs, LLMs, Prompt Engineering, RAG, embeddings, and vector search.
- Experience designing and implementing Agentic AI applications using LangGraph or similar frameworks.
- Experience with AI frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or equivalent.
- Experience working with vector databases/vector search technologies such as pgvector (PostgreSQL), Azure AI Search, Pinecone, Weaviate, Chroma, FAISS, Milvus, or OpenSearch.
- Experience with cloud platforms (Azure, AWS, or GCP), Docker, and Kubernetes.
- Strong understanding of API integration, tool/function calling, and agent orchestration.
- Strong problem-solving skills with the ability to design and build production-grade AI systems.
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Good to Have
- Experience with Model Context Protocol (MCP).
- Experience with Kafka or event-driven architectures.
- Experience with MLOps, LLM evaluation, observability, and monitoring frameworks.
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