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- Senior
About the role
<div class="content-intro"><p>We fuse together exceptional talent who deliver outstanding software solutions. Our approach has helped us grow 60% in 2021, 94% in 2022, while in 2023 we joined forces with Insight, a Fortune 500 company and a leading solutions and systems integrator. With exciting growth plans and cutting-edge projects, there has never been a better time to join our incredible team. </p></div><p><strong>About the Project</strong><br>The platform uses AI agent architectures to generate and validate educational content at scale, serving multiple products across the organization. The team owns the end-to-end lifecycle: workflow design, LLM orchestration, evaluation, and production operations.<br><br><strong>About the Role</strong><br>We are looking for a senior AI engineer ready to work at the heart of production AI systems. You will contribute directly to two core services: Conversation Brain, an LLM-driven conversation engine, and Ambient ORA, a speech assessment engine powering multiple products. The role sits at the intersection of product engineering and AI science, bridging research outputs from the R&D team into production-grade services.</p>
<p><strong>Key Responsibilities:</strong></p>
<ul>
<li>Design, develop, and optimize AI-driven content generation workflows.</li>
<li>Contribute directly to our codebases, building and maintaining agentic workflows using Python (FastAPI, CrewAI, LangGraph, LangChain) and Go where needed.</li>
<li>Build and maintain agentic workflows using CrewAI, LangGraph, and LangChain.</li>
<li>Ensure code quality through unit and integration tests written as part of the development workflow, in line with our shift-left approach where developers own test creation.</li>
<li>Operationalize AI models in collaboration with the AI R&D.</li>
<li>Implement LLM observability and evaluation using Langfuse, OpenLit, and New Relic.</li>
<li>Design and run LLM evaluation benchmarks and regression detection.</li>
<li>Integrate and manage resources across Azure (Container Apps, Service Bus, Blob Storage) and AWS.</li>
<li>Ensure robust CI/CD pipelines and contribute to SDLC best practices.</li>
<li>Package, deploy, and scale applications using Docker; Kubernetes experience is a plus.</li>
</ul>
<p><strong>Required Skills & Qualifications</strong></p>
<ul>
<li>Strong Python development skills (FastAPI) and hands-on experience with agentic and LLM frameworks <br>(CrewAI, LangGraph, LangChain, or equivalent).</li>
<li>Production experience with LLMs, including prompt engineering, model evaluation, and <br>operationalizing research outputs into production services (Azure OpenAI, Google Vertex AI).</li>
<li>Practical experience with Azure services (Container Apps, Service Bus, Key Vault, Blob Storage) and <br>familiarity with AWS.</li>
<li>Experience with LLM observability and monitoring tools (Langfuse, OpenLit, New Relic, or equivalent).</li>
<li>Solid grasp of CI/CD, DevOps, and SDLC. Working knowledge of Docker, with k8s experience as a plus.</li>
<li>Familiarity with ML/NLP tooling (PyTorch, Hugging Face Transformers, spaCy, scikit-learn) a strong plus.</li>
<li>Daily user of AI development tools (Cursor, Claude Code, Copilot).</li>
<li>Fluent English, spoken and written.</li>
<li>Nice to have: Working knowledge of Go, with the ability to read, modify, and maintain existing Go <br>services</li>
</ul>
<p><strong>Benefits:</strong></p>
<ul>
<li>Opportunities for certification and training</li>
<li>Dual monitor setup and high-spec workstations</li>
<li>English courses</li>
<li>Gym allowance</li>
<li>Medical Reimbursement</li>
<li>Full salary covered up to 20 days of sickness</li>
<li>Flexible working hours</li>
<li>Loyalty scheme</li>
<li>Team building activities, special events and conferences</li>
<li>UK/EU Travel opportunities</li>
<li>Snacks and drinks in the office</li>
</ul><div class="content-conclusion"><p>To see more roles, <a href="https://amdaris.com/jobs" target="_blank">click here</a>.</p></div>
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