Senior Generative AI Engineer

Nordic Investin Group Aktiebolag; Årsunda; On-site; SEK 900,000 - 1,200,000; Full time

Job summary

Nordic Investin is seeking a Senior Generative AI Engineer to design retrieval augmented generation and agent workflows, and to build robust evaluation suites for quality, safety and regression testing.

You will integrate models with documents, APIs and business systems while implementing identity, permission and audit controls, and optimize latency and operating costs. Strong Python backend skills and cloud deployment experience are essential.

Qualifications

• Strong Python and backend engineering experience.
• Hands on work with language model APIs and orchestration frameworks.
• Knowledge of embeddings, retrieval and vector search.
• Experience evaluating nondeterministic systems.
• Cloud deployment, observability and security awareness.
• Ability to challenge a use case when a simpler solution is better.

Responsibilities

• Design retrieval augmented generation and agent workflows.
• Build evaluation suites for quality, safety and regression testing.
• Integrate models with documents, APIs and business systems.
• Implement identity, permission and audit controls.
• Optimise latency, context use and operating cost.
• Work with domain experts to define useful human review patterns.

Skills

Python

Backend engineering

Language model APIs

Embeddings

Retrieval

Vector search

Nondeterministic systems

Cloud deployment

Observability

Security

Tools

Orchestration frameworks

Job description

Nordic Investin has been engaged by a partner company to find a Senior Generative AI Engineer. You want to build generative AI systems that are useful because retrieval, evaluation, permissions and workflow design are treated as engineering problems.

The partner is developing AI assisted capabilities for knowledge intensive work. You will create production applications around language models, test their behaviour and connect them safely to enterprise data and tools.

The partner wants data and AI work that can be operated, explained and improved after launch. Provenance, quality, access and evaluation belong in the solution from the beginning.

How you will work

You will work with engineers, analysts and domain specialists who look at the same information from different angles. The partner expects assumptions, datasets and evaluation methods to be visible. Solutions should be designed for repeatable delivery, monitored use and responsible change after deployment.

As a senior colleague, you will own substantial outcomes and help others make stronger decisions. You are expected to recognise risk early, communicate it without drama and move work forward with practical alternatives. The role still includes hands on delivery; seniority here means broader judgement, not distance from the work.

What you will do

• Design retrieval augmented generation and agent workflows.

• Build evaluation suites for quality, safety and regression testing.

• Integrate models with documents, APIs and business systems.

• Implement identity, permission and audit controls.

• Optimise latency, context use and operating cost.

• Work with domain experts to define useful human review patterns.

What you will bring

• Strong Python and backend engineering experience.

• Hands on work with language model APIs and orchestration frameworks.

• Knowledge of embeddings, retrieval and vector search.

• Experience evaluating nondeterministic systems.

• Cloud deployment, observability and security awareness.

• Ability to challenge a use case when a simpler solution is better.

Experience that would add value

• Fine tuning or model hosting.

• Information retrieval or search engineering.

• Enterprise knowledge management and document processing.

A background that can succeed here

You may come from NLP, search, backend engineering, data platforms or applied AI research. The partner is looking for production judgement rather than a collection of demos.

What makes the opportunity interesting

You will work on high interest technology with the discipline required for lasting value. The role provides direct access to users, complex information problems and room to shape the engineering standards for future AI products.

The exact partner, employment model, compensation, start date and working arrangement will be explained openly during the process. Nordic Investin will make sure you understand the context, expectations and decision path before you are asked to commit significant time.

The recruitment conversation

During the process, Nordic Investin will focus on concrete decisions you have made: the context you received, the alternatives you considered, the result you observed and what you would change today. You do not need every optional technology if your core experience transfers and you can explain how you would close the gap.