Senior AI Engineer-6months-Burgess Hill

Kirtana Consulting
Burgess Hill, United Kingdom
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Burgess Hill, United Kingdom

Tech stack

API
Artificial Intelligence
Amazon Web Services (AWS)
Software Applications
Azure
Cloud Computing
Databases
Python
PostgreSQL
Search Technologies
Software Deployment
Enterprise Software Applications
Large Language Models
Multi-Agent Systems
Prompt Engineering
Generative AI
Backend
Event Driven Architecture
Build Management
Kubernetes
Kafka
Machine Learning Operations
Virtual Agents
REST
Docker
Web Api

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 Back End development, with the ability to build scalable, production-grade AI systems., 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 Back End 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.

Requirements

Strong Python programming and Back End 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.

Good to Have

Experience with Model Context Protocol (MCP).

Experience with Kafka or event-driven architectures.

Experience with MLOps, LLM evaluation, observability Location Burgess hill, UK

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