> Markdown version of [/jobs/ext/3147626-senior-full-stack-engineer-team-agent](https://www.wearedevelopers.com/jobs/ext/3147626-senior-full-stack-engineer-team-agent). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Full-Stack Engineer - Team Agent - **Company:** Taktile - **Location:** London, UK (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Code Coverage, Databases, Continuous Integration, Data Visualization, Programming Tools, Distributed Systems, Amazon DynamoDB, Design of User Interfaces, Python (Programming Language), PostgreSQL, Software Engineering, SQLAlchemy, TypeScript, Datadog, Data Logging, ReactJS, Large Language Models, Multi-Agent Systems, Backend, Fastapi, Material UI, Front End Software Development, Virtual Agents, Api Gateway, Restful APIs, Devsecops, Serverless Computing - **Published:** September 2, 2026 - **Apply:** https://uk.indeed.com/viewjob?jk=fb3a16bf38f12127 ## About the Role * Strong engineering fundamentals with a passion for simplicity and precision. * Fluency in English, both written and spoken, is essential as we operate in a remote environment requiring clear and effective communication. Strong English skills are also crucial to efficiently interacting with AI. * Prior industry experience building full-stack web applications (this is not an entry-level position). * Proficiency with React and TypeScript, and experience building rich, interactive user interfaces. * Experience with Python back-end development, building and operating RESTful APIs, and working with databases. * Experience integrating into AWS or similar cloud providers. Nice but not required * Experience building chat or conversational UIs, real-time/streaming interfaces, or data visualization. * FastAPI and Pydantic experience. * DynamoDB or Postgres, SQLAlchemy. * Exposure to LLM application development, agent frameworks, MCP, or building developer tools. * Prior ops or on-call experience. * Experience with distributed systems, async task processing, or observability tooling (tracing, metrics, logging). ## Description Taktile is building a platform for creating, publishing, and executing AI-powered agents that help teams automate complex workflows in financial services. The Agents team owns the agent execution runtime, tool orchestration, and platform infrastructure that makes this possible, including the conversational copilot experiences built on top of it across the product., * Build and ship features end-to-end for Taktile's AI agent platform: backend in Python (FastAPI) on AWS serverless infrastructure, and frontend in React and TypeScript. * Build conversational copilot experiences end to end: chat UI components, streaming responses, rich in-chat interactions, and human-in-the-loop approvals. * Improve how agents run, how they connect to external tools, and how they behave when something goes wrong. * Own your work end-to-end: collaborate on scope, implement, test, release, and iterate based on real usage and customer feedback. * Use leading-edge AI tools (e.g. Claude) on a daily basis to move faster, improve quality, and build AI-native capabilities where it makes sense. * Review pull requests with depth, improve test coverage and CI/CD, and raise the bar on reliability and engineering excellence. * Engage actively in team rituals such as daily syncs, planning sessions, demos, and technical deep-dive discussions. * Grow as an individual and accelerate your career by learning from experienced team members, contributing to a foundational layer of the product, and joining cross-team learning groups. * For career growth at Taktile, this role will involve daytime ops duty and at some point joining an on-call rotation, so you need to have passion for owning systems end to end and grow your DevSecOps skills as well. Team's tech stack * Backend: Python (FastAPI, Pydantic) * Frontend: React, TypeScript * Data: DynamoDB, Postgres * Cloud: AWS serverless (Lambda, API Gateway) * AI: LLM orchestration, tool-use frameworks, streaming execution