Senior AI/Python Developer

Company: Netigate

Location: Stockholm or Helsinki

Type: Hybrid, Full-time employment

The company

Netigate is a platform that helps organisations collect and understand feedback from employees and customers. It gives companies tools to run surveys, analyse responses, and turn that data into insights they can actually use to improve how they work and how they serve their customers.

The platform is built to make feedback easier to gather and easier to act on, so organisations can spot trends, identify issues early, and make better decisions based on real input rather than assumptions.

Their focus is on helping companies improve employee experience and customer experience through structured feedback and clear reporting.

The role at a glance

Netigate is looking for someone who sees AI not as hype, but as a powerful tool to create real and lasting impact. Someone who thrives in agile, fast-paced environments where creativity and new ideas can flourish. Driven by curiosity, always looking for smarter ways to solve problems — and able to bring others along on the journey. The company wants someone who takes ownership from day one, leading the way rather than waiting for direction, and who is eager to shape both product and technical direction beyond simply building features.

Key responsibilities

• Build smart, scalable, and production-ready AI-driven services using Python

• Apply the latest AI tools like Claude, Cursor, and GitHub Copilot in daily workflow

• Design and optimise hybrid retrieval systems (vector + BM25) to power LLM-based agents and data lake exploration

• Work closely with the main development team (React, Node.js) to bring AI capabilities into the product experience

• Take the lead on new AI initiatives — prototype, test, build, and continuously improve

• Leverage Azure cloud infrastructure (including pipelines and Infrastructure as Code) to deploy and manage work

• Stay on top of the evolving LLM/AI landscape and help the team stay ahead of the curve

• Build modern agents using LangGraph, MCP, and gRPC with a mixture of proprietary and open models

• Work on scalable data services using Kafka, RabbitMQ, and various ELT platforms

• Build and deploy with GitHub Actions, Azure stack, ArgoCD, and Argo Workflows — supported by an SRE function

Your profile

• 5+ years of experience with Python; you're not just fluent, but persuasive

• Solid experience working with GenAI tools like Claude, Cursor, or GitHub Copilot

• Strong background in modern data retrieval — vector databases, embedding stores, and hybrid search engines

• You understand how to index, query, and surface relevant data from large-scale data lakes, optimising retrieval for LLMs and intelligent agents

• Solid grasp of APIs, microservices, and scalable backend architecture

• Hands-on experience with Azure or a comparable cloud platform

• Fluent in English and a strong communicator — comfortable explaining complex ideas clearly

• Collaborative, humble, and invested in team success as much as your own

Bonus

• Word2Vec, CBOW, LSTM, ML, RNNs, NLTK, and other NLP technologies

• Apache Flink, Spark, Superset, and ELT/ETL tooling such as Airflow, Meltano, or strong Postgres knowledge

What you can expect

• Be part of an ambitious, product-led company with a strong and genuine AI agenda. This is not a checkbox, it is the core of what they are building

• Collaborate with experienced engineers, designers, and product minds

• Flat structure, open culture, and leadership that listens

• An inclusive and supportive environment where diversity and creativity are celebrated

• Real opportunities for professional growth within an international company that is actively expanding

• Impact is valued over title — creativity and ownership matter more than seniority

• A team that knows how to celebrate — from summer festivals to end-of-year events, they invest in team culture. 

For more information or questions, contact zoe.lepluart@ninox-limited.com.