Senior AI/Python Developer
Company: Netigate
Location: Can be in Stockholm or Helsinki
Type: Hybrid, Full-time employment
Company: Netigate
Location: Can be in Stockholm or Helsinki
Type: Hybrid, Full-time employment
The company
Netigate is an international SaaS company helping organisations make sense of their employee and customer feedback. For nearly two decades they have been building experience management tooling — surveys, analytics, and insights — for companies across Europe. Today the company employs 130+ people with offices in Stockholm, Helsinki, Rotterdam, Frankfurt, and Warsaw.
Over the past year Netigate has made a deliberate shift: they are transforming from a survey and reporting platform into an AI-driven insights engine. The ambition is clear: they want to be at the cutting edge of how feedback data is collected, processed, and turned into actionable intelligence.
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.