Autonomous AI Engineer for Energy Platform

AI Foundations (F/H/X); Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Kraken Technologies is hiring for the Autonomous Agents team to build AI-powered customer service for the energy industry. You will join a cross-functional group of engineers, product and ML specialists, collaborating with Kraken platform teams to deploy scalable AI solutions.

You’ll develop reusable components and integrations between Kraken, MCP interfaces and AI agent setups, using Python on the Kraken side and TypeScript on the agent side, with a focus on safety, observability and

Qualifications

• Solid software engineering experience with production systems.
• Proficient in Python and TypeScript and comfortable switching between tools.
• Strong problem-solving and analytical mindset.
• Curiosity about AI, LLMs, autonomous agents and MCP.
• Ability to communicate with non-engineers and translate real-world processes into software.
• Reliable in delivery, documentation and meeting commitments.
• Willingness to learn and adapt in a fast-changing field.

Responsibilities

• Investigate customer support queries and convert findings into technical plans.
• Build integrations between Kraken, MCP interfaces and AI agent setups using Python and TypeScript.
• Develop reusable, client-agnostic components and patterns.
• Incorporate authentication, permissions, validation and handoff into the design.
• Ship features behind toggles and ensure safe rollout across clients and teams.
• Engage with clients and teammates, document decisions and maintain progress.

Skills

Python

TypeScript

Django

Testing

API design

Observability

Tools

Datadog

Sentry

Job description

Kraken Technologies is hiring for the Autonomous Agents team to build AI-powered customer service for the energy industry. You will join a cross-functional group of engineers, product and ML specialists, collaborating with Kraken platform teams to deploy scalable AI solutions.

You’ll develop reusable components and integrations between Kraken, MCP interfaces and AI agent setups, using Python on the Kraken side and TypeScript on the agent side, with a focus on safety, observability and