Use object-oriented programming (Java or C#), Salesforce Lightning, Force.com, Apex, SOQL, JavaScript, Git, Jira, IntelliJ, CI/CD, and Salesforce REST APIs. Hackajob Ltd is a platform that connects developers with job opportunities. This Salesforce Developer role delivers complex business and technical requirements on the Force.com platform.

Work with Salesforce platform, Apex, triggers, flows, and REST/webhook-based integrations linking Stripe/Recurly, provisioning systems, and downstream data. Own development of the core systems powering LucidLink’s revenue engine, including the Quote-to-Cash lifecycle. This is a foundational hire for the Enterprise Applications team.

Python, PyTorch, JAX, LLMs, vLLM, vector databases and modern agent frameworks will be used. The stealth AI startup is building a pre-launch, next-generation AI assistant for everyday tasks, conversations and workflows — a 0-to-1 opportunity on a small engineering team.

Work with Salesforce Lightning, Apex, SOQL, JavaScript, and the Force.com platform, with exposure to Git, Jira, IntelliJ, CI/CD practices, and Salesforce REST APIs. You will deliver solutions and manage complex business and technical requirements.

Salesforce★4.2 (1.5k)· London

Work with the Salesforce platform ecosystem, cloud architecture, Agentforce, professional services automation (PSA) tools, and agile frameworks. You will lead pre-sales solution discovery, design complex multi-cloud transformational engagements, and author Statements of Work for enterprise customers.

Moody's★3.6 (589)· London

You will work with Python, TypeScript, Java, or Go; cloud platforms (AWS, GCP, Azure); Docker, Kubernetes, PostgreSQL, MongoDB, Redis, vector databases; and build AI applications using LLMs, RAG, prompt engineering, and AI agents. The Innovation team builds next-generation internal and external products powered by large language models, AI agents, machine learning, and natural language processing.

EXL Service★3.7 (2k)· London

Design AI architectures on Azure using .NET, React, LLMs, RAG, OCR, and agentic frameworks (LangGraph, AutoGen, CrewAI) to build production-grade GenAI platforms. The role focuses on processing complex insurance documents for underwriting, claims, and reinsurance use cases. You will lead and mentor a team of .NET, React, and GenAI developers.

Pipedrive★4.2 (5)· London

Lead a growing team of Applied Scientists and AI/ML Engineers at Pipedrive, a cloud-based CRM platform serving over 100,000 companies. You'll own the technical strategy for AI/ML solutions working with structured CRM data and unstructured content, designing autonomous agentic workflows using LangGraph, RAG architectures, vector databases, and LLMOps infrastructure. The role requires 8+ years of applied ML/AI experience in production environments, deep expertise in modern AI engineering, cloud infrastructure (AWS/GCP), and distributed systems, with proven ability to lead and scale technical teams.

You'll develop full-stack software products using TypeScript, React, Python, Node.js, Java/Spring, C#/.NET, SQL, NoSQL, vector databases, LLM frameworks, and cloud platforms (Azure, AWS, GCP) with Docker and CI/CD. QuantumBlack, AI by McKinsey is a multidisciplinary group creating industry-shaping digital products and tools for clients across industries. You'll work hands-on with global technologists, designers, and strategists to build cutting-edge solutions while mentoring client teams on engineering practices and Agile values.

You'll work with frontend (TypeScript, React, Angular, Vue, Next.js, Tailwind), backend (Python, Node.js, Java/Spring, C#/.NET), databases (SQL, NoSQL, vector databases), LLM frameworks, and cloud platforms (Azure, AWS, GCP) including Docker and CI/CD. QuantumBlack, an AI division of McKinsey, builds industry-shaping products and tools across diverse industries by pairing software engineers, AI engineers, and data scientists with client leadership. As a Senior Software Engineer, you'll lead architecture design, mentor teams in engineering excellence and Agile practices, and drive technology decisions on scalable solutions.

Design AI architectures on Azure using .NET, React, LLMs, Azure OpenAI, RAG, Agentic AI (LangGraph, AutoGen, CrewAI), OCR, microservices, and Azure AI Search. Build scalable GenAI platforms for intelligent automation in insurance functions like underwriting, claims, and reinsurance. Lead and mentor .NET, React, and GenAI developers.

You will work with React/Next.js/TypeScript and Python on an agentic AI platform that ingests sustainability data, runs scenarios and recommends actions. The company is building a workflow and decision-making layer for sustainability, using AI agents and a knowledge context graph.

Palo Alto Networks★3.8 (154)· London

You will work with Prisma AIRS, AI automation platforms, agentic developer tools (e.g., Claude Code), and data platforms (Salesforce, JIRA, Gainsight, Tableau). As a principal strategic advisor and AI Architect for the Prisma AIRS team, you architect scalable security solutions at the intersection of application security, data security, and the AI ecosystem for global enterprise accounts.

EXL Service★3.7 (2k)· London

You will work with Python, FastAPI, LLM frameworks (prompt engineering, RAG, agentic systems), and cloud AI platforms (Azure OpenAI/AWS Bedrock/Claude) on Kubernetes. As a Sr. AI Architect & Client Partner at EXL, a data and AI services company, you will design and deliver production-grade Generative and Agentic AI systems for enterprise clients, converting ambiguous mandates into secure, scalable solutions while shaping deals and reusable IP.

Insulet Corporation★3.1 (189)· London

Lead a globally distributed MuleSoft engineering team owning the AI Enablement Integration portfolio. The role works with MuleSoft Anypoint Platform, AI Gateway, Model Context Protocol (MCP), Agent Fabric, CloudHub 2.0, and Flex Gateway to make enterprise systems and APIs securely available to AI agents and automation platforms.

Google★4.3 (6.2k)· London

This role uses Google Cloud Platform (GCP), Vertex AI, Gemini models, LangGraph, CrewAI, and ADK to build agentic workflows, MCP servers, and RAG-like architectures. You embed with strategic customers to code, debug, and ship production-grade GenAI solutions, addressing integration, data readiness, and state-management blockers. You also build evaluation pipelines and observability frameworks while co-building with customer engineering teams.

This role develops generative AI applications using Java, Python, React or Angular, LangChain, LlamaIndex, Hugging Face, Docker, Kubernetes, and AWS, with tools like GitHub Copilot. You will build scalable, AI-powered solutions for Citi’s global finance operations.

Work with Salesforce platform, including DevOps tools and pipelines for the CRM/payments ecosystem. You will support Dojo’s payments infrastructure purpose-built for in-person commerce, serving over 150,000 merchants. No team size specified.

Insulet Corporation★3.1 (189)· London

You will lead a globally distributed MuleSoft engineering team, using MuleSoft Anypoint Platform, AI Gateway, MCP, Agent Fabric, API-led connectivity, CloudHub 2.0, and Flex Gateway to build secure, governed integration capabilities for enterprise AI agents, automation, and intelligent workflows. This role owns the AI Enablement Integration portfolio at Insulet, a company pioneering “Liveable Technology” to transform diabetes care.

Lead AI engineers use Python, LangChain, vector stores, and LLMOps tooling to build and operate production generative AI applications like copilots and agentic workflows. They design RAG pipelines, own end-to-end development, and integrate with enterprise data systems and APIs. This player-coach role seeds and grows the AI Engineering function within GCG technology at Capital Group, a global investment firm.

You’ll use Python, LLMs, RAG pipelines, embeddings, vector storage, and cloud-native tools to build production generative AI applications—copilots, assistants, and agentic workflows—that improve Capital Group’s investment process.

You will design, build, and operate AWS infrastructure, engineer Kubernetes environments (EKS, Docker, Helm), and use Terraform for infrastructure-as-code. You will support critical investment and trading systems, improve CI/CD pipelines with GitHub Actions and GitOps (Argo CD), and work with databases like Snowflake, Aurora, and SQL Server. You will take end-to-end ownership of production systems, solve complex problems across distributed environments, and influence cloud architecture and reliability standards.

Globant★4.1 (350)· London

A client-facing, quota-carrying role focused on selling Salesforce solutions (Sales Cloud, Service Cloud, Data Cloud, Agentforce, Marketing Cloud) and services (implementation, managed services, consulting) within Globant’s Salesforce Studio for the UK market. The team drives business-process transformation and digital innovation for global enterprises.

UST★3.7 (1k)· London

Design and deliver agent-based, LLM-powered enterprise solutions using Python, LangChain, LlamaIndex, vector databases, and AWS. You will build multi-agent orchestration workflows, RAG pipelines, and production-grade backend services.

Capgemini★3.7 (11k)· London

Build GenAI and RAG-based applications using Python, LLM orchestration frameworks, vector databases, and SQL/NoSQL databases. Design pipelines for OCR, document parsing, and image-based data extraction, then implement retrieval with chunking, indexing, and reranking. The role involves working with enterprise data integration and scalable AI workflows at a global technology transformation company.