Description
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.
About the Role
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.
Key Responsibilities:
- Design, develop, and optimize AI-driven content generation workflows.
- Contribute directly to our codebases, building and maintaining agentic workflows using Python (FastAPI, CrewAI, LangGraph, LangChain).
- Build and maintain agentic workflows using CrewAI, LangGraph, and LangChain.
- 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.
- Operationalize AI models in collaboration with the AI R&D.
- Implement LLM observability and evaluation using Langfuse, OpenLit, and New Relic.
- Design and run LLM evaluation benchmarks and regression detection.
- Integrate and manage resources across Azure (Container Apps, Service Bus, Blob Storage) and AWS.
- Ensure robust CI/CD pipelines and contribute to SDLC best practices.
- Package, deploy, and scale applications using Docker; Kubernetes experience is a plus.
Required Skills & Qualifications
- Strong Python development skills (FastAPI) and hands-on experience with agentic and LLM frameworks
(CrewAI, LangGraph, LangChain, or equivalent). - Production experience with LLMs, including prompt engineering, model evaluation, and
operationalizing research outputs into production services (Azure OpenAI, Google Vertex AI). - Practical experience with Azure services (Container Apps, Service Bus, Key Vault, Blob Storage) and
familiarity with AWS. - Experience with LLM observability and monitoring tools (Langfuse, OpenLit, New Relic, or equivalent).
- Experience with Bedrock
- Solid grasp of CI/CD, DevOps, and SDLC. Working knowledge of Docker, with k8s experience as a plus.
- Familiarity with ML/NLP tooling (PyTorch, Hugging Face Transformers, spaCy, scikit-learn) a strong plus.
- Daily user of AI development tools (Cursor, Claude Code, Copilot).
- Fluent English, spoken and written.
Benefits:
- Opportunities for certification and training
- Dual monitor setup and high-spec workstations
- English courses
- Gym allowance
- Medical Reimbursement
- Full salary covered up to 20 days of sickness
- Flexible working hours
- Loyalty scheme
- Team building activities, special events and conferences
- UK/EU Travel opportunities
- Snacks and drinks in the office
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