Senior AI/ML Engineer - Production AI & ML Solutions

Would you like to be a part of Recordly's story? Now is your chance! We’re looking for Senior AI/ML Engineers who want to get their hands dirty building modern AI, ML, and GenAI solutions in production environments. Working at Recordly means you get to work with customers that truly want to make data and AI/ML their competitive edge. You will be at the core of helping businesses capitalize on the opportunities data offers.

As an AI/ML Engineer, you’ll work hands-on with real customer solutions, building AI and machine learning pipelines in different data environments. Over time, as your skills and experience grow, your role can evolve toward more senior responsibilities within our career framework.

"WHO/WHAT IS RECORDLY?" YOU MIGHT ASK

At Recordly, we believe data and AI are transforming the way businesses create value. While this transformation is already reshaping industries, many organizations are still searching for practical ways to realize its full potential. Our experienced data professionals help companies bridge that gap, turning data and AI into meaningful business outcomes.

Our mission is to define how humans and data co-operate. We want to support businesses in understanding the data they already have, the opportunities they’re not yet capturing, and how to use these to enhance strategic KPIs. Simultaneously, we aim to translate business requirements into actionable tasks for teams working with the data or related technologies. We work closely with our customers to make this happen.

Our expertise covers data engineering, data architectures, and data management as well as hands-on AI and ML solutions, GenAI applications, and agentic systems. Whether it’s real-time pipelines, enterprise ML platforms, or modern cloud ecosystems, we focus on solutions that are practical, scalable, and built for long-term value. We're tech-agnostic, but some of our most commonly used tools include Azure, GCP, AWS, Snowflake, dbt, and Databricks. In simple terms: we tech the heck out of data. What sets us apart is who we are and how we do it.

Our employee promise (besides offering engaging customer assignments, of course) includes the possibility of enjoying the company's success and shaping who we are and what we do together. We believe in being open about how the business is going and how our choices affect the bottom line. Take a look at our site to get to know us better!

What We’re Looking For

As an AI/ML Engineer at Recordly, you build AI and machine learning solutions that work in real production environments, not just as prototypes. Hands-on work is the norm: one day you're designing a agentic solution architecture on top of a customer's proprietary data, the next you're building an evaluation suite together with end users, and the day after that you're writing data pipelines when the Data Engineers aren't around. Your background can be in machine learning, software engineering, or already on the GenAI side; what matters is that you care about both how models work and how to get them reliably into production.

Technical Requirements

Core expectations (you don’t need to tick every box, but most should feel familiar):

• Strong Python skills as it's our main development tool; experience with other languages is a plus
• Hands-on experience with generative AI: RAG architectures, embeddings, vector databases, prompt engineering, and at least one orchestration framework (LlamaIndex, LangGraph, Langchain or similar)
• Hands-on experience designing and delivering ML solutions in production: supervised/unsupervised models, feature engineering, training pipelines, and model deployment across the full lifecycle
• Understanding of agentic systems: tool use, multi-step planning, skills, MCP and a healthy sense of when not to reach for an agent
• MLOps fundamentals: model pipelines, versioning, monitoring, and observability of LLM applications in production
• Ability to translate business requirements into technical solutions and communicate them clearly to different stakeholders
• Experience with at least one cloud environment (Azure, AWS, or GCP) and its AI/ML services
• Solid fundamentals in containerisation (Docker) and CI/CD practices.
  
  

Nice to have:

• Experience building evaluation frameworks: faithfulness, correctness, relevance; we treat evals as code

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• Awareness of responsible AI: data privacy, prompt injection defences, output guardrails, and the EU AI Act
• Experience with traditional ML models and their production use (scikit-learn, PyTorch, TensorFlow, or similar)
• Solid SQL skills for exploring data, shaping it for retrieval, and integrating with structured sources
• Full stack development experience (We are building increasing number of agentic applications with UI)
• Willingness to pick up unfamiliar tech; a lot of the work these days involves spinning up something you've never touched before and making it work.
  
  

What we're especially looking for right now:

• Designing and implementing agentic systems
• Building RAG-based solutions in production: knowledge assistants, document processing, search systems.
  
  

Language requirements:

In addition to English, we require fluent written and spoken Finnish skills, as a significant part of our customer work is conducted in Finnish.

Location:

This role is based in Finland. Currently, we offer permanent remote work opportunities within the country. We cannot provide relocation support.

What's In It For You

When you join Recordly, you’ll be greeted by our open culture and awesome colleagues. On the more tangible side, we want to support your professional dreams while making sure you can pay your bills and take good care of yourself. Reflecting your skills, impact, and experience within our career framework, the salary range for this role is 4500 – 5500 €/month.

Baseline Benefits

We also offer a great perks package, but we don’t believe in a one-size-fits-all approach. That’s why everybody gets a solid baseline of benefits, topped off with our "Pimp My Benefits" plan. It gives you the freedom to pick, choose, and prioritize the perks that fit you best. Below you can find some further details about our current benefit offering:

• Own a piece of the journey: Opportunity to buy company stocks through our employee share program
• Shared success: A yearly bonus based on company performance (equal to all full-time Recordlians)
• Work your way: A flexible remote working model

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• Comprehensive healthcare: Extensive healthcare coverage, including dental and mental health services
• Unwind monthly: One complimentary massage every month through our partner network
• Weekly Wellbeing Hour: One paid hour per week built into your working time; use it for a workout, family life, or just to recharge
• Covered on the go: Travel and leisure-time insurance
• Your choice of gear: Choose the laptop and phone that work best for you. We also provide a phone benefit
• Childcare support: Childcare services if your child falls ill
• Keep learning and connecting: Recurring training, learning sessions, knowledge sharing, and other social events.
  
  

Pick And Choose Your Favorites

We provide you with a yearly Pimp My Benefits budget to customize your own perk package. Mix and match from these options to suit your lifestyle:

• Lunch benefit to cover your meals
• Sports & culture benefit for your favorite free-time activities
• Public transportation benefit for commuting
• IT & remote budget for your home office setup and equipment needed for daily work
• One-off home cleaning service to free up your time
• One-off childcare service for extra flexibility when you need it
• Additional dental care to cover extra dental treatments and check-ups.
  
  

On top of all that, we promise you challenging customer assignments. Check out how Recordlians tech the heck out of data in action!

INTERESTED TO HEAR MORE?

We’re eager to hear from you soon and we encourage you to send in your application as soon as possible. Our recruitment process generally includes two to three steps, during which we get to know you better and understand what motivates you. We hope you showcase your career highlights and tell us more about your skill set and biggest learnings. You'll also learn more about Recordly and get to meet a few Recordlians. We may want to contact your references as well. We’re committed to creating a good match between us and want to spend time getting it right.