Chantilly, Virginia, United States Hybrid / WFH Options
Gridiron IT Solutions
RAG (Retrieval-Augmented Generation) operations to enhance AI model performance Create and maintain prompt workflows for various AI tasks Integrate and work with AWS Bedrock and Bedrock knowledgebases Utilize AnthropicClaude Sonnet for advanced language processing tasks Works closely with business analysts, UI/UX developers, and subject matter experts to understand functional requirements Ensure code quality, performance … Bedrock Knowledge of Generative AI concepts and technologies Experience with implementing chatbots or conversational AI systems Understanding of RAG operations and prompt engineering Familiarity with large language models like AnthropicClaude Sonnet Strong problem-solving skills and attention to detail Excellent communication and teamwork abilities An active TS/SCI clearance with Polygraph These Qualifications Would Be Nice More ❯
Applied AI, Solutions Architect (Digital Native Business) London, UK About AnthropicAnthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together … to build beneficial AI systems. About the role As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll … Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities: Partner with account executives to deeply understand customer requirements and translate them More ❯
About AnthropicAnthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As … an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills … Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities: Partner with account executives to deeply understand customer requirements and translate them More ❯
white-label/B2B delivery environments across multiple domains Understanding of AI/ML workflows, tools, and trends, including hands-on experience with prompt engineering for tools like ChatGPT, Claude, or similar LLM platforms Non-Technical Skills Required Exceptional client relationship management and stakeholder communication skills Strong leadership with the ability to inspire, influence, and motivate cross-functional teams More ❯
natural language processing, computer vision, or multimodal learning. - Ability to communicate technical concepts to both technical and non-technical audiences. PREFERRED QUALIFICATIONS - Experience with large language models, such as Claude, GPT, BERT, or T5. - Familiarity with reinforcement learning techniques and their applications in generative AI. - Understanding of ethical AI principles, bias mitigation techniques, and responsible AI practices. - Experience with More ❯
Deep understanding of evaluation strategies and observability tools for assessing AI performance, reliability, robustness, cost, and overall effectiveness. Expertise with SOTA LLMs such as Gemini, GPT/o-series, Claude, Deepseek, Llama 4, etc. Experience with Google's Gemini/Gemma LLMs are preferred. Desirable: Experience prototyping user-facing interfaces using Python front-end frameworks such as Streamlit or More ❯
similar). Strong understanding of context engineering practices, optimising prompts, memory, and retrieval strategies for LLM-based systems. Hands-on experience with AI-assisted development tools such as Cursor, Claude Code, Codex, and GitHub Copilot for technical analysis, code generation and code review. Hands-on experience with AI/ML frameworks (PyTorch, TensorFlow, HuggingFace) and LLM orchestration tools (LangChain More ❯
Your tasks will include: Integrate AI into the SDLC by automating key engineering processes—including requirements gathering, design, coding, testing, and deployment—using tools like OpenAI Codex, ChatGPT Enterprise, Claude, OpenRouter, and RAG-based systems. Streamline Dev Workflows by embedding LLMs and RAG pipelines into daily development operations for smarter, faster delivery. Drive DevOps Automation by partnering with DevOps More ❯
Your tasks will include: Integrate AI into the SDLC by automating key engineering processes—including requirements gathering, design, coding, testing, and deployment—using tools like OpenAI Codex, ChatGPT Enterprise, Claude, OpenRouter, and RAG-based systems. Streamline Dev Workflows by embedding LLMs and RAG pipelines into daily development operations for smarter, faster delivery. Drive DevOps Automation by partnering with DevOps More ❯
Manchester, North West, United Kingdom Hybrid / WFH Options
Travel Counsellors
Cash Plan Free breakfast and beverages Requirements Proven experience in .NET Core/C# and modern web frameworks like Angular/TypeScript Hands-on experience with LLM APIs (OpenAI, Claude, Bedrock), LangChain, or RAG-based architectures Deep familiarity with API design, microservices, and cloud-first development (AWS, Azure, or GCP) Experience building systems with MongoDB, SQL, or vector databases More ❯
Urmston, Manchester, Lancashire, England, United Kingdom Hybrid / WFH Options
Travel Counsellors
Cash Plan · Free breakfast and beverages Requirements Proven experience in .NET Core/C# and modern web frameworks like Angular/TypeScript Hands-on experience with LLM APIs (OpenAI, Claude, Bedrock), LangChain, or RAG-based architectures Deep familiarity with API design, microservices, and cloud-first development (AWS, Azure, or GCP) Experience building systems with MongoDB, SQL, or vector databases More ❯
what's working and what not. AI-First Tooling To ensure you stay at the cutting edge of AI-driven work, we provide: Perplexity Pro account ChatGPT Pro account Claude Pro account Quarterly budget for experimenting with new AI tools A culture that encourages AI experimentation and adoption We encourage our team to explore and integrate AI tools into More ❯
and Unix/PowerShell scripting Experience with cloud computing platforms AI technologies such as AWS, GCP or Azure Experience in using LLMs such as Hugging Face ML models, GPT, Claude, etc Stay updated with the latest advancements in AI Technologies More ❯
ADK, etc ) Experience using Pydantic , and FastAPI Experience with SQL , DBT , and BigQuery Cloud infrastructure experience (preferably GCP) with Docker & Terraform Experience with AI development environments like Cursor, Windsurf, Claude Code TDD mindset and comfort with Agile/XP workflows (pairing, code reviews, CI) Nice to Have Exposure to multi-agent systems, memory, or RAG pipelines Develop and maintain More ❯
and Azure Experience building full web applications (not just websites) Product-focused mindset with attention to UX and code quality Bonus: experience or interest in AI/LLMs (OpenAI, Claude, LangChain, etc.) Preferably from mid-large company environments Interview Process: 30-minute intro (including some technical Qs) Technical task (approx. 3-4 hours) Final interview with programme leadership If More ❯
Cambridge, Cambridgeshire, England, United Kingdom Hybrid / WFH Options
Harnham - Data & Analytics Recruitment
CSS Experience working with both SQL and NoSQL (GraphDB, CosmosDB, Postgres, etc.) Familiarity with cloud development (ideally on Azure ) and containerised deployments Bonus: Exposure to LLM APIs (e.g. OpenAI, Claude), GenAI tooling, and AI product development Why This Team? You'll be joining a well-funded innovation group within a globally recognised organisation, where you'll have direct impact More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Harnham - Data & Analytics Recruitment
CSS Experience working with both SQL and NoSQL (GraphDB, CosmosDB, Postgres, etc.) Familiarity with cloud development (ideally on Azure ) and containerised deployments Bonus: Exposure to LLM APIs (e.g. OpenAI, Claude), GenAI tooling, and AI product development Why This Team? You'll be joining a well-funded innovation group within a globally recognised organisation, where you'll have direct impact More ❯
Bristol, Avon, England, United Kingdom Hybrid / WFH Options
Harnham - Data & Analytics Recruitment
CSS Experience working with both SQL and NoSQL (GraphDB, CosmosDB, Postgres, etc.) Familiarity with cloud development (ideally on Azure ) and containerised deployments Bonus: Exposure to LLM APIs (e.g. OpenAI, Claude), GenAI tooling, and AI product development Why This Team? You'll be joining a well-funded innovation group within a globally recognised organisation, where you'll have direct impact More ❯
scale machine learning models for performance and efficiency, leveraging best practices in AI engineering. Integrate using Microsoft Graph API or prebuilt plugins Requirements Strong experience with LLMs (OpenAI, Mistral, Claude, etc.) Built with tools like LangChain, OpenRouter, or function-calling agents Solid with Next.js, Node.js, or Python (we're flexible) Some experience (or curiosity) around regulated workflows and operational More ❯
Spanish and English Technical Expertise 6+ years of experience in technical pre-sales, solutions consulting, or AI implementation roles. Proven hands-on experience with Generative AI, LLMs (e.g., GPT, Claude, PaLM, LLaMA), and related tools (e.g., LangChain, vector databases). Strong understanding of raw data, data structures, NLP/NLU/NLG, ML pipelines, and prompt engineering. Experience with More ❯
Spanish and English Technical Expertise 6+ years of experience in technical pre-sales, solutions consulting, or AI implementation roles. Proven hands-on experience with Generative AI, LLMs (e.g., GPT, Claude, PaLM, LLaMA), and related tools (e.g., LangChain, vector databases). Strong understanding of raw data, data structures, NLP/NLU/NLG, ML pipelines, and prompt engineering. Experience with More ❯
Spanish and English Technical Expertise 6+ years of experience in technical pre-sales, solutions consulting, or AI implementation roles. Proven hands-on experience with Generative AI, LLMs (e.g., GPT, Claude, PaLM, LLaMA), and related tools (e.g., LangChain, vector databases). Strong understanding of raw data, data structures, NLP/NLU/NLG, ML pipelines, and prompt engineering. Experience with More ❯
Spanish and English Technical Expertise 6+ years of experience in technical pre-sales, solutions consulting, or AI implementation roles. Proven hands-on experience with Generative AI, LLMs (e.g., GPT, Claude, PaLM, LLaMA), and related tools (e.g., LangChain, vector databases). Strong understanding of raw data, data structures, NLP/NLU/NLG, ML pipelines, and prompt engineering. Experience with More ❯
london (city of london), south east england, united kingdom
Konecta
Spanish and English Technical Expertise 6+ years of experience in technical pre-sales, solutions consulting, or AI implementation roles. Proven hands-on experience with Generative AI, LLMs (e.g., GPT, Claude, PaLM, LLaMA), and related tools (e.g., LangChain, vector databases). Strong understanding of raw data, data structures, NLP/NLU/NLG, ML pipelines, and prompt engineering. Experience with More ❯
for writing code, demonstrated by launching your own tools or projects. Comfortable leading architecture and development in a Linux-based environment. Strong experience with AI-assisted coding tools (e.g., Claude, GitHub Copilot) and an enthusiasm for adopting new AI technologies. Ability to contribute significantly to architecture decisions and the product roadmap. A strong understanding of LLM-powered applications, including More ❯