Senior AI Engineer – Enterprise AI & Agentic Platforms

Fintricity; Greater London; On-site; GBP 35,000 - 80,000; Full time

Job summary

Fintricity and Kendra Labs are building enterprise-grade AI infrastructure for the next generation of agentic systems. Our work spans AI gateways, model orchestration, MCP/tool gateways, agent control planes, identity, governance, security, data platforms, code intelligence, and production-grade AI automation.

We are seeking an AI Engineer who can design, build, evaluate, and operate reliable AI systems in real-world enterprise environments across Fintricity and Kendra Labs to turn frontier AI

Qualifications

• Strong software engineering experience in Python, TypeScript, or both.
• Practical experience building with LLMs, AI APIs, agent frameworks, RAG systems, tool calling, or workflow orchestration.
• Understanding of modern AI system design: context engineering, retrieval, embeddings, vector databases, function calling, evaluations, guardrails, and observability.
• Experience designing and consuming APIs, working with cloud services, and deploying production systems.
• Ability to reason about reliability, latency, cost, security, privacy, and maintainability in AI applications.
• Strong debugging skills across application code, model behaviour, data pipelines, prompts, and external integrations.
• Familiarity with Git-based development, CI/CD, testing, code review, and engineering documentation.
• Comfortable working in a fast-moving environment where product direction evolves quickly.

Responsibilities

• Design, build, and maintain AI-powered applications, agents, workflows, and platform components across Fintricity and Kendra Labs.
• Develop production‑grade LLM and agentic systems using modern AI engineering patterns, including tool calling, retrieval, orchestration, memory, evaluation, and human-in-the-loop controls.
• Build integrations with enterprise systems, APIs, data sources, model providers, vector stores, code repositories, and MCP-compatible tools.
• Contribute to core Kendra Fabric modules, including AI gateway, agent control plane, MCP/tool gateway, code graph, data plane, identity, security, and governance capabilities.
• Implement robust evaluation pipelines for model quality, agent behaviour, latency, cost, reliability, and safety.
• Design and improve prompt, context, and workflow patterns for repeatable enterprise use cases.
• Build observability, tracing, logging, and debugging capabilities for AI systems in development and production.
• Work with product, engineering, customer, and leadership teams to convert ambiguous business problems into practical AI solutions.
• Apply secure engineering practices for authentication, authorization, data handling, auditability, model access, and tool execution.
• Prototype rapidly, validate assumptions with evidence, and harden successful prototypes into maintainable production systems.
• Document architecture, design decisions, technical trade‑offs, and operational runbooks clearly.

Skills

Python

TypeScript

LLMs

AI APIs

Agent frameworks

RAG systems

Tool calling

Workflow orchestration

APIs design

Cloud services

CI/CD

Git

Documentation

Education

BSc/BEng, Master, or PhD in CS or related

Tools

Git

CI/CD

Kubernetes

LangChain

OpenTelemetry

LangGraph

Weaviate / Qdrant

Job description

Fintricity and Kendra Labs are building enterprise-grade AI infrastructure for the next generation of agentic systems. Our work spans AI gateways, model orchestration, MCP/tool gateways, agent control planes, identity, governance, security, data platforms, code intelligence, and production-grade AI automation.

We are seeking an AI Engineer who can design, build, evaluate, and operate reliable AI systems in real-world enterprise environments across Fintricity and Kendra Labs to turn frontier AI