AI/ML solutions, particularly in the domain of autonomous agents. In-depth knowledge of agent frameworks and tools such as OpenAI Agents SDK, Autogen, Google ADK/A2A, LangGraph, and similar technologies. Practical experience integrating generative AI models (e.g., OpenAI, Anthropic, Google Gemini, LLaMA) into real-world agentic systems. Advanced proficiency in Python, including experience with key libraries and More ❯
enhance user experiences. If you are passionate about developing intelligent systems and thrive in a collaborative environment, we want to hear from you! Key Responsibilities: Design, develop, and deploy LangGraph-based agentic systems that orchestrate LLM-driven tools and workflows. Build and integrate modular AI agents capable of real-world task execution in cloud-native environments. Collaborate with product managers … for DevOps and Infrastructure as Code (IaC) practices using tools like CDK or Terraform. Stay current with developments in LLM orchestration, multi-agent systems, prompt engineering, and LangChain/LangGraph frameworks. Minimum Requirements: Experience as a Software Engineer, and AI/ML or LLM-centric development. Proven track record with LangGraph, LangChain, or similar orchestration frameworks. Expert in Python (asyncio More ❯
native AI services (e.g., OCI Data Science, AI Services, Gen AI Agents) that are secure, scalable and optimized for performance & cost. • Build agentic AI solutions using frameworks such as LangGraph, CrewAI, AutoGen.• Design & lead the development of machine learning AI/ML pipelines and fine-tuning pipelines to adapt foundation LLMs to enterprise-specific datasets• Work with embedding models and More ❯
Key Responsibilities · Design, develop, and deploy LangGraph-based agentic systems that orchestrate LLM-driven tools and workflows. · Build and integrate modular AI agents capable of real-world task execution in cloud-native environments. · Utilize AWS services such as Lambda, Step Functions, Bedrock, S3, ECS/Fargate, DynamoDB, and API Gateway to support scalable, serverless infrastructure. · Write production-grade Python code … or Terraform. Minimum Requirements · 5+ years of experience as a Software Engineer, with at least 2 years in AI/ML or LLM-centric development. · Proven track record with LangGraph, LangChain, or similar orchestration frameworks. · Expert in Python (asyncio, FastAPI preferred). · Hands-on experience building and deploying applications on AWS, particularly using Lambda, Fargate, S3, Step Functions, and DynamoDB. More ❯
NEW CONTRACT AI/ML ENGINEER VACANCY AVAILABLE - HYBRID LONDON Exciting Opportunity with a Cutting-Edge AI Company Contract AI Engineer (LLMs/LangGraph/RAG) 6-Month Initial Contract + extension £350-450 Outside IR35 (competitive) To apply please email WHO WE ARE We're working with an innovative organisation at the forefront of AI-powered solutions, focused on … building dynamic, intelligent tools for real-time use cases. THE ROLE We're seeking AI Engineers to design, build, and deploy conversational AI products using LangGraph, OpenAI functions, and Retrieval-Augmented Generation (RAG) techniques. You'll be part of a hands-on team delivering high-performance AI tools in a fast-paced environment. WHAT YOU WILL BE DOING Building conversational … AI flows with LangGraph and OpenAI function-calling Integrating live data (e.g., sports data, betting odds) into real-time chat systems Developing memory handling, tool usage, and RAG pipelines Collaborating on system design, prompt tuning, and architecture decisions Optimising AI performance for speed, stability, and user experience WHAT WE NEED FROM YOU Proven experience with LangGraph or LangChain Strong Python More ❯
CONTRACT JUNIOR AI/ML ENGINEER VACANCY AVAILABLE - HYBRID LONDON Exciting Opportunity with a Cutting-Edge AI Company (Open to UK-Based candidates) Contract Junior AI Engineer (LLMs/LangGraph/RAG) 6-Month Initial Contract + extension £250-300 Outside IR35 To apply please email WHO WE ARE AI Company sitting in Sports Space. THE ROLE We're seeking … AI Engineers to design, build, and deploy conversational AI products using LangGraph, OpenAI functions, and Retrieval-Augmented Generation (RAG) techniques. You'll be part of a hands-on team delivering high-performance AI tools in a fast-paced environment. WHAT YOU WILL BE DOING Building conversational AI flows with LangGraph and OpenAI function-calling Integrating live data (e.g., sports data … and RAG pipelines Collaborating on system design, prompt tuning, and architecture decisions Optimising AI performance for speed, stability, and user experience WHAT WE NEED FROM YOU Proven experience with LangGraph or LangChain Strong Python skills and experience working with LLMs Familiarity with RAG pipelines Experience building chatbots or agent-based systems Knowledge of real-time API integration Understanding of prompt More ❯
