[All remote jobs](https://jobicy.com/jobs.md)[![Cresta logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2022/08/4d686e40b22cf2510b627c59afe5fd95.jpg)](https://jobicy.com/company/cresta.md)[Cresta](https://jobicy.com/company/cresta.md) # Senior Forward Deployed Engineer (AI Agent) – UK Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/cresta.md)ShareRemote from[UK](https://jobicy.com/job-region/uk.md)SalaryUndisclosedDepartment[Software Engineering](https://jobicy.com/categories/engineering.md)EmploymentFull TimeExperienceSeniorPublished12 Oct 2026Apply before11 Nov 2026Listing views51Application actions2Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. AI Summary ## The role, at a glance. Cresta is hiring a Senior Forward Deployed Engineer to build, deploy, and optimize customer-facing AI agents using LLMs and agent frameworks. The role blends hands-on software engineering, systems integration, technical consulting, and implementation ownership for enterprise customers. Key work includes Python and Golang development, API/CRM/database integrations, prompt and configuration optimization, RAG and function-calling systems, and cloud/DevOps practices. The engineer will run demos and proof-of-concepts, gather requirements, coordinate delivery milestones, and feed deployment learnings into the product roadmap. This is a UK-based remote full-time role requiring strong customer communication alongside practical AI engineering expertise. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 5/5RelaxedFast-paced ### Autonomy Level 4/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThis is a senior, customer-facing engineering role that requires production AI-agent implementation across ambiguous enterprise environments. Success depends on combining LLM/RAG expertise, backend and cloud integration skills, troubleshooting, delivery coordination, and persuasive technical communication. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job medianHighly competitive$155,000US market range$125k–$185k0$204k AI insightNo numeric salary range is disclosed; the posting only confirms base salary, equity, and benefits. The figures are estimated US-market annual base-salary benchmarks in USD for a senior forward deployed AI/solutions engineer with LLM, cloud, and enterprise-integration responsibilities; actual UK compensation may differ materially. ## Core skills Skills and capabilities most closely associated with this opportunity. [Python](https://jobicy.com/jobs?search_keywords=Python.md)[Golang](https://jobicy.com/jobs?search_keywords=Golang.md)[Large Language Models](https://jobicy.com/jobs?search_keywords=Large%20Language%20Models.md)[AI Agents](https://jobicy.com/jobs?search_keywords=AI%20Agents.md)[Prompt Engineering](https://jobicy.com/jobs?search_keywords=Prompt%20Engineering.md)[Retrieval-Augmented Generation](https://jobicy.com/jobs?search_keywords=Retrieval-Augmented%20Generation.md)[API Integration](https://jobicy.com/jobs?search_keywords=API%20Integration.md)[Cloud Platforms](https://jobicy.com/jobs?search_keywords=Cloud%20Platforms.md)[DevOps](https://jobicy.com/jobs?search_keywords=DevOps.md)[Enterprise Solution Delivery](https://jobicy.com/jobs?search_keywords=Enterprise%20Solution%20Delivery.md) Sample interview questionsDescribe an AI agent you deployed into a real business workflow. What problem did it solve, and how did you measure success?I would explain the workflow, the users, the agent’s tools and integrations, and the safeguards used in production. I would quantify results using measures such as containment rate, task completion, latency, accuracy, escalation rate, customer satisfaction, or operational time saved. How would you design a RAG-based AI agent that securely retrieves information from multiple enterprise knowledge sources? I would define source ownership and access controls first, then build an ingestion and chunking pipeline with metadata, embeddings, and a retrieval layer that enforces user permissions. I would add grounded prompts, citations, evaluation datasets, monitoring for retrieval quality and hallucinations, and a feedback process for improving content and relevance. How do you approach integrating an AI agent with a customer CRM or other external API? I would start with the target workflow, API contracts, authentication model, data mapping, rate limits, failure modes, and security requirements. I would implement typed integration layers, idempotent operations, retries and observability, then validate the solution through sandbox testing, end-to-end acceptance criteria, and monitored rollout. A customer says the agent produces inconsistent answers after a configuration change. How would you troubleshoot it? I would compare the prior and current configuration, prompts, model versions, retrieval settings, tool responses, and representative conversation traces. I would reproduce the issue with a controlled evaluation set, isolate the main driver, make a targeted correction, and verify improvement with regression tests and production monitoring. How do you manage competing customer requests while ensuring a deployment remains on schedule? I would align stakeholders on business outcomes, define milestones and acceptance criteria, and prioritize requests by customer impact, risk, effort, and reusability. I would communicate trade-offs early, document decisions, deliver the highest-value scope first, and route broader product gaps through a clear feedback loop with product and engineering. Opportunity details ## About this role. Cresta unlocks the true potential of the customer experience, turning every conversation into a competitive advantage. Cresta’s unified AI platform combines conversational AI agents, real-time human agent augmentation, and comprehensive conversation intelligence to drive revenue and efficiency gains across every channel. The world’s leading companies, including United Airlines, Cox Communications, and Marriott, use Cresta to power world-class customer experiences every day. Born from the Stanford AI Lab, Cresta has raised more than $270 million from the world’s leading investors, including a16z, Greylock, and Sequoia. Cresta’s leadership includes some of the leading minds in AI today. Our CEO, [Ping Wu](https://www.linkedin.com/in/pingwu/), founded and led Google’s Contact Center AI and Vertex AI platforms before joining Cresta to build the future of AI-driven customer experiences. Over the next few years, AI is going to redefine how people all over the world interact with businesses every day. Come build that future at Cresta. ### About the role: At Cresta, the AI Agent team is on a mission to create state-of-the-art AI Agents that solve practical problems for our customers. We are focused on leveraging the latest technologies in Large Language Models (LLMs) and AI Agent systems, while ensuring that the solutions we develop are cost-effective, secure, and reliable. As an AI Agent Engineer, you’ll be at the forefront of deploying AI agents that address real-world challenges. In this role, you will work closely with customers as well as our software and machine learning engineers, ensuring high-impact AI Agent deployments and contributing to the continuous improvement of our core AI platform. You’ll develop intelligent AI agents, integrate them seamlessly with external systems and offer hands-on technical expertise to ensure successful deployments.. This position requires strong engineering skills, adaptability, and customer engagement. If you are self-driven, analytical, and eager to leverage AI in practical applications, this role is for you. What You’ll Do : * AI Agent Development: Develop, configure, deploy, and optimize AI agents using Cresta’s AI platform and tools. * System Integration: Build AI agent integrations with external systems (APIs, databases, CRMs, etc.) to ensure seamless workflow integration. * Performance Optimization: Optimize AI agent performance (e.g. fine-tune prompts and configurations) and troubleshoot issues in complex enterprise environments. * Requirements Gathering: Collaborate with customers and internal stakeholders to gather technical requirements and translate business needs into AI Agent solutions. * Demos & Iteration: Conduct interactive demos and present compelling proof-of-concepts to prospective customers, proactively gather feedback, and iteratively refine solutions to meet objectives. * Project Coordination: Define project milestones, create implementation plans, and coordinate execution with internal teams to ensure on-time delivery. Provide a tight feedback loop to our product and engineering teams — identifying gaps, building custom tooling, and influencing the roadmap through real-world deployment learnings. * Partner Cross-Functionally: Collaborate with PMs to define agent goals, iterate rapidly based on customer feedback, and shape product capabilities that maximize customer ROI. * Technical Guidance: Serve as a trusted technical advisor for the customer, guiding best practices for AI agent adoption and usage. Provide technical guidance on AI agent best practices, including architecture design, security considerations, and scalability planning. ### What We’re Looking For: * Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. * Experience: 3+ years of experience of full time working experience in software development/ consulting, AI/ML engineering, or system integration, or as FDE * Programming Skills: Proficiency in Python and Golang, with the ability to write clean, efficient code. * AI/ML Knowledge: Familiarity with AI/ML concepts. Hands-on experience with large language models (LLMs), and prompt engineering techniques are strongly preferred. * AI Agent Frameworks: Strong understanding of general AI agent frameworks, function calling, and retrieval-augmented generation (RAG). Hands-on experience of building such a system is strongly preferred. * Cloud & DevOps: Experience with cloud platforms (AWS, GCP, or Azure) and DevOps practices (CI/CD, containerization, monitoring). * Integration Expertise: Hands-on experience with integrating systems via APIs, webhooks, and data pipelines. * Communication: Excellent communication and project management skills. * Analytical Approach: Ability to use data-driven decision-making, including A/B testing and performance monitoring, to refine solutions. * Collaborative Builder: You thrive in cross-functional environments, working hand-in-hand with PMs and engineers to turn real customer problems into scalable AI solutions. Compensation for this position includes a base salary, equity, and a variety of benefits. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable. This posting will be used to fill a newly-created role. Our use of AI in recruiting: We may use AI tools in our recruiting process, which require human review and oversight. If you have questions about our use of AI or wish to opt out, please contact [recruiting@cresta.ai](mailto:recruiting@cresta.ai) (if you are opting out, please use the subject ‘Opt-Out’ in your email). Recording & AI transcription: We do not authorize candidates to record or use AI transcription of any interview by phone, notetaker app, AI glasses, or other device. Candidates may request an exception or accommodation for review during the interview process as needed. Recruiting impersonation scams: We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates’ personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored. Show more [Apply now >](https://jobicy.com/jobs/155100-senior-forward-deployed-engineer-ai-agent-uk.md) > Annual salary information is not provided for this position. 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