Software Engineer (Autonomous Agents)

Kraken; Myrtle Point (OR); Presencial; USD 120.000 - 150.000; Jornada completa

Descripción de la vacante

Kraken is seeking an hands-on software engineer to join a cross-functional team of about 10 engineers, product and ML specialists. You'll work with Kraken platform teams on two connected areas: build reusable core and implementation for clients, with emphasis on safe rollout and observability.

You will own integrations between Kraken, MCP interfaces, and AI agent setups, using Python and TypeScript, plus authentication, tests and dashboards.

Formación

• Shipped and supported production software with testing and code reviews.
• Proficient in Python and TypeScript with ability to move between tools.
• Strong problem-solving mindset and curiosity about AI.
• Able to communicate with non-engineers and translate real-world processes into software.
• Reliable delivery with clear documentation.

Responsabilidades

• Investigate customer support queries and translate into technical plans.
• Build integrations between Kraken, MCP interfaces and AI agent setup using Python and TS.
• Create reusable, client-agnostic components from common patterns.
• Include authentication, permissions, validation, and handoff in design.
• Ship features behind feature toggles with testing and documentation.
• Collaborate with clients and teammates; document decisions and commitments.
• Develop dashboards, monitoring, and runbooks for observability.

Conocimientos

Solid software engineering

Python and TypeScript

Problem‑first thinking

Curiosity about AI

Customer and client awareness

Reliable delivery

Learning agility

Herramientas

Django

Datadog

Sentry

MCP servers

Descripción del empleo

Where you'll fit in

You'll join a cross-functional team of around 10 engineers, alongside product and machine learning specialists, working closely with Kraken platform teams. The work spans two connected areas, and you'll contribute to both:

• Build: the reusable core of the product. This covers client-agnostic agent journeys and tooling, MCP interfaces into Kraken, email, messaging and voice capabilities, and the observability, feature toggles and guardrails that let us roll out safely.
• Implementation: taking that core to individual clients. You'll work with client teams to understand their customer journeys, configure and extend what we've built, and feed what you learn back into the shared product.

This is a hands‑on engineering role. You'll work alongside senior engineers and leads who will support your growth, while owning meaningful pieces of work from the first few months.

What you'll own

• Connect the dots: Investigate customer support queries, get to grips with regulatory and business processes, and turn them into clear technical plans.
• Bring agents to life: Build integrations between Kraken, Model Context Protocol (MCP) interfaces and our AI agent setup, using Python on the Kraken side and TypeScript on the agent side.
• Build once, reuse everywhere: Spot patterns across customer journeys and client needs, and turn them into reusable, client‑agnostic components rather than one‑off fixes.
• Make it safe and reliable: Build authentication, permissions, validation and human handoff into the design, and help us test and monitor behaviour that is less predictable than traditional software.
• Roll out with confidence: Ship features behind toggles, tested and documented, so they can be introduced gradually across clients and teams.
• Work with clients and teammates: Take part in client conversations, explain technical details clearly, document decisions and keep your commitments on track.
• Operate what you build: Contribute to dashboards, monitoring and runbooks so the services you ship are observable and supportable in production.

What you bring to the party

• Solid software engineering: You have shipped and supported production software, and you're comfortable with testing, code review and working in a team codebase.
• Python and TypeScript: You write clean, maintainable code in both and are happy moving between tools and environments.
• Problem‑first thinking: You take time to understand the problem before jumping to the first solution.
• Curiosity about AI: You're interested in LLMs, autonomous agents and MCP, and in how to give agents the right context and tools. Hands‑on experience is great, but you don't need to have all the answers.
• Customer and client awareness: You're comfortable talking to non‑engineers, asking good questions and translating messy real‑world processes into software.
• Reliable delivery: You're organised, write clear documentation and follow through on what you take on.
• Learning agility: You welcome feedback, ask questions when things are ambiguous and enjoy learning alongside others in a field that changes fast.

What success looks like

• Delivery: You ship well‑scoped features and integrations that make it into production and are used by real clients.
• Reusability: Your work strengthens the shared product, so the next client is easier to onboard than the last.
• Trust: Agents you help build behave safely, resolve customer needs correctly and hand over to people when they should.
• Growth: You take on increasing ownership and become a go‑to person for part of the platform.

Bonus points

• AI engineering: Building with LLMs, agent frameworks or MCP servers
• Conversational AI: Experience with customer service automation, voice or messaging channels
• Evals and monitoring: Testing, evaluating or monitoring non‑deterministic systems
• Backend: Django
• Observability: Datadog, Sentry
• Client‑facing experience: Working directly with customers or partners on technical delivery

Are you ready for a career with us? We want to ensure you have the right tools and environment to unleash your potential. If you have any accommodation requests, please contact us at [e-mail]. We'll do our best to tailor the experience to your needs so you can feel comfortable, confident and be at your best!

Studies have shown that some groups of people, like women, are less likely to apply to a role unless they meet 100% of the job requirements.

At Kraken, we’re creating a team of genuine, honest, empathetic people. Our people are our strongest asset and the unique skills and perspectives people bring to the team are the driving force of our success. As an