As a part of our AI-product stream, you will work together with our development team to take Ellie’s AI capabilities to the next level. Your focus will be on building the infrastructure for a more autonomous and context-aware platform:

• Agent Orchestration:  Working with the team to decompose complex data modeling tasks into manageable, executable steps.
• Context-Aware Interfaces:  Developing seamless UI components that understand the user’s workflow and provide real-time assistance.
• A2A Architecture:  Participating in the design and implementation of how specialized AI agents communicate with each other and integrate into our platform.

A New Paradigm: Design, Delegate, Review, Own

As an AI-native senior developer at Ellie, you don't just "prompt and pray." You focus on technical excellence to ensure that our shared product vision is executed accurately. Your workflow is defined by four pillars:

1. Design:  You collaborate with Product Management and UX Designers to translate requirements into solid technical blueprints. You spend focused time mapping out logic and data structures before feeding them into AI tools.
2. Delegate:  You offload the heavy lifting, repetitive tasks, and boilerplate code to agents (Cursor, Claude Code, etc.) based on your technical design.
3. Review:  You act as a critical quality gatekeeper. You verify that the solution is technically sound, secure, and fits our standards.
4. Own:  You take full responsibility for the end result, ensuring it integrates perfectly and provides real value to our users.

What We Expect from You

• Modern Stack:  Strong proficiency in  TypeScript, Node.js, PostgreSQL, and React .
• AI-Native Mindset:  You don’t just use AI to write code; you know how to build systems  with  it.
• Hands-on Experience:  Practical experience in building with  Agentic Workflows ,  Orchestration Frameworks , or  RAG  implementations.
• Architecture & Context:  Understanding of  Context Management  and connecting LLMs to external data sources (e.g., via  MCP  or similar integration patterns).
• Practical Reliability:  You understand the trade-offs in LLM implementations, such as latency, cost, and reliability.
• Team Player:  You enjoy working in a flat, senior environment where titles matter less than solving complex problems together.
• Communication:  Professional fluency in  English  (our working language).

Bonus points for:

• Data Domain: Familiarity with Data Modeling or Data Governance.
• AI Ecosystem: Experience with Python and various model providers (e.g., AWS Bedrock, OpenAI, Anthropic).
• Cloud & DevOps: Hands-on with AWS (Lambda, S3, EC2), Docker, and production-grade CI/CD.
• Observability: Experience with LLM tracing and monitoring (we use Langfuse and Datadog).
• Startup Mindset: Experience in fast-paced environments and a preference for high autonomy.

Why Ellie?

• Drive the AI Shift together:  You’ll have the freedom to experiment with new AI tools and help us, as a team, adopt modern, AI-native development rhythms.
• Collaborate with Peers:  You’ll join a flat, highly experienced team of seniors where everyone is a peer. We value low ego, high impact, and solving problems together.
• Freedom of Tools:  We encourage you to experiment with and use the best AI tools available.
• Great Team:  A low-hierarchy, highly skilled team based in  Helsinki (Lauttasaari)  with flexible hybrid options.
• Equity & Growth:  A competitive monthly salary with an  options program —we want you to share in our success.
• Comprehensive Benefits:  We take care of our people with:
• Extensive health insurance  and wellness support.
• ePassi  for lunch, sports, and culture.
• Gym access  (located just next door).

How to Apply

To apply, please send an email to  careers@ellie.ai  with the subject line "AI-Native Full-stack Senior Developer". Please include:

• Your CV  (and a link to your GitHub, portfolio, or relevant code samples).
• The Challenge:  Briefly describe an AI agent or an agentic workflow you have  actually built or prototyped .
• What was the use case?
• What was the biggest technical hurdle (e.g., reliability, context management, or tool-calling), and how did you approach it? (Max 200 words).

Questions?

If you want to hear more about  the role , feel free to reach out to our Head of AI Product,  Manu Karppelin  (manu.karppelin@ellie.ai or via LinkedIn).