26 to 50 of 55 LangGraph Jobs

years’ experience delivering production AI/ML systems Strong Python and SQL Proven hands-on GenAI experience (LLMs/RAG; LangChain/LlamaIndex/LangGraph-style tooling preferred) A track record of autonomous ownership - running projects with minimal supervision Strong stakeholder engagement: can influence and communicate with non-technical leaders ...

forefront of innovation, leveraging technologies such as Vertex AI Agent Builder, large language models (LLMs), retrieval-augmented generation (RAG), LangChain, and LangGraph to develop cutting-edge conver click apply for full job details ...

forefront of innovation, leveraging technologies such as Vertex AI Agent Builder, large language models (LLMs), retrieval-augmented xxuwjjq generation (RAG), LangChain, and LangGraph to develop cutting-edge conver... ...

usage of the AI platform across business units. What You Bring Core Qualifications Proven experience developing GenAI applications using frameworks such as LlamaIndex, LangGraph, or similar. Strong understanding of LLM model families, providers, and performance trade-offs. 5+ years (Senior/Lead) or 8+ years (Principal) building large-scale production ...

building and deploying LLM/agentic systems into production. Strong software engineering foundations: orchestration, memory, deployment, and monitoring is ESSENTIAL. Familiarity with agentic frameworks (LangGraph, ReAct, CoT loops) and/or proven ability to build without them . Knowledge of PyTorch/TensorFlow, RAG, vector databases, and orchestration tools. Background ...

empirical research environment and partnering with Product teams to deliver and scale validated AI products. Agentic Frameworks: Solid understanding of agentic frameworks (e.g.,LangChain,LangGraph,CrewAI) and practical application for task automation or conversational experiences. Behavioural Modelling & AI Expertise: Experiencemodellingand predicting user engagement, building AI-based search engines, recommender systems ...

Code Automation, Developer Tooling, Software Engineering, Agentic Frameworks, Codeium, Lang Chain, Codegen, CI/CD, Vector Databases, Intelligent Pipelines, AI-Assisted Development, AutoGen, CrewAI, LangGraph, Platform Engineering, Emerging Technologies, Large language models, Antigravity, Anthropic, Claude Code. ...

industry (not purely academic) Independent, proactive, high ownership mindset Strong communication and stakeholder skills Computer science degree preferred Nice to have Experience with LangGraph/agent frameworks Twilio/voice systems/communications tooling WhatsApp/messaging platform integrations Start-up experience or strong side projects showing “spikes” Key details ...

proofs of concept. Technical requirements: • 1-2 years building LLM solutions deployed to production • Strong Python coding skills • Experience with LLM orchestration frameworks (LangChain, LangGraph, Crew AI, or similar) • Knowledge of cloud infrastructure • Understanding of how to build reliable systems that handle non-deterministic outputs • Experience working in agile teams ...

e.g. PyTorch, NumPy, Panda, TensorFlow, scikit-learn) Experience with LLMs and fine tuning (OpenAI, open-source models) Hands-on experience with agent frameworks (e.g. LangGraph, AutoGen, CrewAI, etc.) Experience deploying AI systems to production AI Solution design Experience deploying models into production environments Experience of data processing tools and databases ...

that shape the companys trajectory Tech youll work with Python, LLMs, vector databases, knowledge graphs React/TypeScript, Supabase, AWS Agent frameworks (e.g., LangChain, LangGraph) What they are looking for Ownership mindset: You think like a founder and execute without waiting for instructions High energy: Positive attitude and genuine excitement ...

data governance and fairness in highly regulated financial settings. Key Technologies & Tools Core ML: scikit-learn, PyTorch, TensorFlow, XGBoost, LightGBM Data Manipulation: Pandas, NumPy, LangGraph MLOps & Orchestration: MLflow, Apache Airflow Databases: Neo4j, MongoDB API Development: FastAPI Big Data (Beneficial): Apache Hadoop, Apache Spark (PySpark) What We Need From ...

enterprise-grade quality. Your profile What We're Looking For: Deep hands-on expertise with LLMs, AI agents, RAG, embeddings, and orchestration frameworks (LangChain, LangGraph, CrewAI, MCP, etc.). Strong track record in AI productization (building features beyond prototypes). Experience with enterprise automation domains (finance, GBS, ERP systems like ...

systems together, handling the authentication, rate-limiting, and data-mapping required to connect AI to legacy CRMs and ERPs. Experience with frameworks like LangChain , LangGraph , or building custom state-machines to manage long-running, multi-step AI tasks. A Full-Stack mindset. You care as much about the reliability ...

Full Stack AI Engineer (Agentic AI & LangGraph) - Contract Duration: 3 Months Rate: Up to £700 per day (Inside IR35) Location: Hybrid - Oxford We are seeking an experienced Full Stack AI Engineer to join a growing tech company on an initial 3-month contract. This role is ideal for someone with … strong, hands-on experience building agentic AI systems , particularly using LangGraph , and who enjoys working in fast-paced, product-led environments. The Role You will play a key role in designing, building, and deploying AI-powered products, working closely with cross-functional teams to deliver intelligent, scalable solutions. Key responsibilities ...

full lifecycle (discovery ? prototyping ? hardening ? production ? monitoring ? continuous improvement) of GenAI and agentic systems. LLM orchestration & tooling: Design and implement workflows using LangChain, LangGraph, LlamaIndex, Semantic Kernel or similar. Optimize prompt strategies, memory, tools, and policies. RAG & vector search: Architect robust RAG pipelines with vector DBs (Pinecone, Chroma, Weaviate, pgvector … deployments. Strong system design and scalable architecture skills for AI-first applications and platforms. Hands-on expertise with LLM orchestration frameworks (e.g.,LangChain/LangGraph/LlamaIndex/Semantic Kernel). Proven experience with RAG and vector databases (e.g., Pinecone, Chroma, Weaviate, pgvector). Proficiency in Python (primary ...

Locations : London | Gurgaon Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when ...

reliability, and fault-tolerance in production systems. AI-Enabled Platform Development (Optional if relevant to your org included because your architecture uses agents, RAG, LangGraph) Integrate backend services with LLM tools, inference endpoints, or retrieval systems. Build Python modules for: Vector database queries Hybrid retrieval logic Document processing pipelines Model … orchestration Optimize pipelines for latency, throughput, and cost efficiency. Agentic Systems & Automation (LangGraph/MCP optional) Build Python-based agent workflows using LangGraph for state-driven orchestration. Develop MCP tools to securely expose enterprise functionality to LLM agents. Design safe, observable, and governable tool-calling interfaces. Work with data scientists ...

forefront of innovation, leveraging technologies such as Vertex AI Agent Builder, large language models (LLMs), retrieval-augmented generation (RAG), LangChain, and LangGraph to develop cutting-edge conversational solutions on the Google Cloud platform. Responsibilities Design, develop, and implement intelligent conversational agents using Vertex AI Agent Builder Integrate Google Cloud … language understanding and response generation Implement RAG techniques to connect conversational agents with external data sources and deliver accurate, contextual responses Use LangChain and LangGraph to build complex conversational flows and orchestrate interactions between AI components Optimize performance, scalability, and reliability of conversational agents on Google Cloud Apply prompt-engineering ...

full details. Role Overview My client is seeking a full-stack AI/ML engineer with deep expertise in agentic AI frameworks such as LangGraph (or equivalent) and proven commercial experience building complex, multi-agent systems with more than at least four agents. This role blends cutting-edge AI research … technical depth and creative freedom you're looking for here. Required Skills & Experience MOD Security Clearance (or ability to obtain). Commercial experience delivering LangGraph or equivalent agentic AI projects with more than four agents in production. Strong grasp of multi-agent orchestration, memory, and tool integration. Proficiency in Python ...

technologies. Key Responsibilities Design and develop AI-driven applications using LLMs and agent-based architectures Build and integrate workflows using LangChain and/or LangGraph Develop robust backend services using Python Contribute to frontend or full-stack development using JavaScript/TypeScript where required Deploy, scale, and maintain solutions … Skills & Experience Strong commercial experience as a Software Engineer working with AI/LLM-based systems Hands-on experience with LangChain and/or LangGraph Excellent Python development skills Solid experience with JavaScript and TypeScript Proven experience deploying applications on AWS Strong understanding of software architecture, APIs, and cloud-native ...

based role that requires occasional travel to our London office . The ideal candidate will have hands-on experience with frameworks such as LangGraph and a strong understanding of the practical implementation and deployment of agentic AI/ML solutions. Key Responsibilities: • Design, build, and deploy agentic AI systems, leveraging … modern frameworks. • Develop and maintain scalable AI workflows using LangGraph and related tools. • Collaborate with cross-functional teams to integrate AI agents into real-world applications. • Write clean, efficient, and testable Python code. • (Optional) Apply data science techniques to train and fine-tune ML or deep learning models. Required Skills ...

Build and optimise databases for complex, real-world data · Design and implement APIs using FastAPI for AI workflows and product features · Build and scale LangGraph-based multi-agent systems with checkpointing, retries, and observability · Integrate and scale vector search, knowledge graphs (Neo4j), and associated retrieval pipelines into production services · Deploy … operating services on cloud infrastructure (GCP, AWS, and Azure) · High ownership mindset: you care deeply about reliability, correctness, and outcomes Strong Plus · Experience with LangGraph, RAG pipelines, vector databases, or knowledge graphs · Familiarity with Neo4j or graph-based data modelling · Experience working on AI-native or agentic systems · Comfort working ...

applications and services that support analytics, ML, and LLM use cases Build and orchestrate data workflows and LLM pipelines using LangChain and/or LangGraph Develop scalable data processing and backend services using Python Work with structured and unstructured data to enable analytics, experimentation, and AI model integration Contribute … data engineering and/or data science roles Hands-on experience building data pipelines and AI-enabled workflows using LangChain and/or LangGraph Excellent Python development skills for data processing and backend services Solid experience with JavaScript and TypeScript Proven experience deploying data platforms and services on AWS Strong ...

cases Develop automation-first AI pipelines for regulatory processes (e.g. monitoring, reporting, compliance checks) Implement multi-agent systems using modern orchestration frameworks (e.g. LangGraph or similar) Build and productionise machine learning models for classification, extraction, prediction, or anomaly detection Integrate LLMs, generative AI, and traditional ML into scalable, secure applications …/ML and backend services Hands-on experience with agentic AI architectures and autonomous workflows Practical experience with AI orchestration frameworks (e.g. LangGraph, LangChain, custom agent frameworks) Experience building and deploying machine learning models in production Understanding of the AI lifecycle : prompt engineering, workflow orchestration, deployment, evaluation, monitoring Experience working ...