skills Preferred Qualifications & Skills: If you have the following characteristics, it would be a plus: Master's or PhD in Computer Science Generative AI: Experience of multi-agent systems (LangGraph, Autogen, CrewAI etc.) would be a plus, as would experience of multimodal LLMs (like GPT4 Omni, Qwen-vl, DocOwl etc.) for understanding complex documents and images. Experience in training, evaluating More ❯
fine-tuning, and evaluation. GenAI & Agentic Frameworks: Hands-on mastery of core GenAI frameworks (e.g., LangChain, LlamaIndex) and practical experience with Agentic AI frameworks and concepts (e.g., AutoGen, CrewAI, LangGraph, agent planning, tool use integration, multi-agent collaboration). AI Architecture: Deep understanding of AI/ML system architecture patterns, including microservices, event-driven architectures, and patterns specific to RAG More ❯
Greater London, England, United Kingdom Hybrid / WFH Options
Intellect Group
tuning and evaluation of domain-specific LLMs , applying retrieval-augmented generation (RAG) and prompt engineering techniques. Contribute to the development of multi-agent systems using frameworks such as AutoGen , LangGraph , LangChain , or CrewAI . Support the integration of AI safety techniques into system design and deployment. Help implement real-time and batch inference pipelines with secure APIs (REST/gRPC More ❯
distillation of large-scale language models, with hands-on expertise in SFT, PPO, and reward modeling. Deep proficiency in Python and AI/ML frameworks such as PyTorch, LangChain, LangGraph, GraphRAG, and AutoGen. Experience with modern vector and graph databases (e.g., ChromaDB, Neo4j) and LLMOps platforms (e.g., Azure, Databricks, Azure OpenAI). Proven track record of delivering scalable AI solutions More ❯
distributed, and asynchronous systems Solid experience leading full-stack application development teams Expert-level proficiency in Python and hands-on experience with at least one LLM based framework (LangChain, LangGraph, LangSmith, LlamaIndex, Qdrant, etc ) Strong experience with asynchronous queues (e.g., Kafka, RabbitMQ) and asynchronous APIs Deep understanding of cloud infrastructure (AWS, GCP) and experience deploying and managing applications at scale. More ❯
and automate complex workflows. Nice to have: Experience with knowledge graphs like Neo4j Experience in optimising graph database performance and ensuring the scalability of graph-based solutions. Experience with LangGraph for Agentic Systems Most importantly, if you're someone with a can-do attitude who is willing to get their hands dirty to help us exceed our wildest expectations, then More ❯
TensorFlow, PyTorch, Hugging Face) Hands-on experience with workflow automation platforms like N8N, AirTable, and proven track-record. Experience with AI agent development and testing methodologies using Google ADK, LangGraph, Llamaindex Understanding of marketing and media workflows (content creation, campaign management, social media automation) Cloud platform experience (AWS, Azure, or Google Cloud Platform) Version control proficiency (Git) and collaborative development More ❯
South West London, London, United Kingdom Hybrid / WFH Options
Stealth IT Consulting Limited
Were Looking For: Managerial experience - Leading/Managing a small team of GenAi Developers Python (FastAPI), Typescript (Express) or similar Frontend Development: React, Next.js, or Vite GenAI tools: LangChain, LangGraph, CrewAI, or Vercel AI (Python or JavaScript) LLM platforms: OpenAI, Anthropic, Mistral, or Llama Cloud: AWS or Azure Containerisation Bonus Points: Experience in building Proof of Concepts (POCs) Client engagement More ❯
South West London, London, United Kingdom Hybrid / WFH Options
Stealth IT Consulting Limited
avenues as you shape the future of AI-driven solutions. What Were Looking For: Python (FastAPI), Typescript (Express) or similar Frontend Development: React, Next.js, or Vite GenAI tools: LangChain, LangGraph, CrewAI, or Vercel AI (Python or JavaScript) LLM platforms: OpenAI, Anthropic, Mistral, or Llama Cloud: AWS or Azure Containerisation Bonus Points: Experience in building Proof of Concepts (POCs) Client engagement More ❯
architectural decisions, internal tooling, and team best practices Experience & Qualifications: 4+ years of backend or AI-focused engineering experience Hands-on experience working with LLMs and related frameworks (LangChain, LangGraph, etc.) Strong programming skills-Python preferred; experience with APIs and cloud infra is a plus Proven track record designing evaluation frameworks and tuning model performance Solid understanding of data privacy More ❯
looking for a Senior GenAI Platform Engineer with: Proven years of experience working with an object-oriented programming language (Python, Go, etc.) Experience with GenAI technologies like MCP, A2A, Langgraph, LlamaIndex, Pydantic AI, OpenAI APIs and SDKs A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience An understanding of Computer Science fundamentals such as More ❯
in use of Large Language Models Knowledge and experience of either AWS or Azure: AWS (boto3, Bedrock, Sagemaker, Lambda, S3, EC2) Azure (azure Open AI service, Cosmos DB) Python Langgraph Neo4j/cypher Other coding languages/frameworks e.g. Java/.Net AI RAG (retrieval augmented generation) Graph RAG Few shot detection Embedding models/LLMs - how they work, how More ❯
in regulated industries such as insurance, banking, or financial services Familiarity with ML development platforms and tooling, including model registries, feature stores, and frameworks for generative AI (e.g. OpenAI, LangGraph, Vertex AI) Understanding of CI/CD pipelines for machine learning and infrastructure-as-code tools (e.g. Terraform, CloudFormation) Exposure to advanced techniques such as large language models (LLMs), retrieval More ❯
for Python backend services, with additional OfficeJS API knowledge preferred Extensive knowledge of AI and machine learning ecosystems, including proficiency in modern RAG/Agent frameworks including Langchain/Langgraph, Llamaindex, Pydantic, Vercel AI SDK, and DSPY Strong analytical and problem-solving skills, with the ability to translate complex business requirements into effective AI solutions. Excellent collaboration and communication skills More ❯
Flask for Python backend services, with additional OfficeJS API knowledge preferred Extensive knowledge of AI and machine learning ecosystems, including proficiency in modern RAG/Agent frameworks includingLangchain/Langgraph, Llamaindex, Pydantic, Vercel AI SDK, and DSPY Strong analytical and problem-solving skills, with the ability to translate complex business requirements into effective AI solutions. Excellent collaboration and communication skills More ❯
business strategies for technical products Preferred qualifications: Degree in Computer Science, Engineering, Data Science, HCI, AI, or related fields, or equivalent experience Experience with GenAI technologies like MCP, A2A, LangGraph, LlamaIndex, Pydantic AI, OpenAI APIs and SDKs Applied AI and Machine Learning experience, familiarity with large language models Experience with Distributed Systems, Kubernetes, cloud platforms (AWS, GCP, Azure) Open source More ❯
d love to see A degree in Computer Science, Engineering, Data Science, HCI, AI, similar field of study or equivalent work experience Experience with GenAI technologies like MCP, A2A, LangGraph, LlamaIndex, Pydantic AI, OpenAI APIs and SDKs Applied experience with AI, Machine Learning, familiarity with large language models and their operational requirements Experience with Distributed Systems, Kubernetes, container orchestration, cloud More ❯
SOTA in multi-agent systems, collective learning, AI safety, secure agent execution, emerging AI agent architectures, and tool integration. Familiarity with one or more multi-agent frameworks (such as LangGraph, LangChain, CrewAI, AutoGen, and Pydantic AI), communication standards (such as MCP, A2A, Story's Agent TCP/IP, Near's AITP), distributed systems, distributed AI architectures, and consensus mechanisms. Ability More ❯
d love to see A degree in Computer Science, Engineering, Data Science, HCI, AI, similar field of study or equivalent work experience Experience with GenAI technologies like MCP, A2A, LangGraph, LlamaIndex, Pydantic AI, OpenAI APIs and SDKs Applied experience with AI, Machine Learning, familiarity with large language models and their operational requirements Experience with Distributed Systems, Kubernetes, container orchestration, cloud More ❯
to-day tasks will involve solving abstract problems and utilizing modern AI tools and models across the entire data and engineering stack. Tech Stack AI Engineering: Python, LangChain, LlamaIndex, LangGraph AI Models: OpenAI, Anthropic, Gemini, Custom Models Data Tools: DBT, BigQuery Databases: PostgreSQL, OpenSearch, Redis Product Engineering: TypeScript (Full-stack) Infrastructure: Serverless, AWS, Google Cloud, GitHub Actions Requirements Strong academic More ❯
What We're Looking For - Essential Reqs: • PhD in Science, Machine Learning, Artificial Intelligence, Engineering, or a related field is an essential requirement • Deep knowledge of both LangChain and LangGraph • Proven experience in AI, machine learning, or data science • Strong background in designing and deploying AI solutions into production • Ability to engage with clients and shape strategic AI initiatives • Experience More ❯
