AI Development Pipeline Engineer

Pipeline Design & Implementation
Website: www.monterro.com
About Monterro
Engagements are short and focused (days rather than weeks). Your goal is to leave each portfolio company with a working, self- owned pipeline and a clear blueprint for future iterations.
We’re looking for an AI Development Pipeline Engineer to help our portfolio companies move rapidly from AI proof- of- concepts to reliable, maintainable production systems. You will act as a hands- on mentor and strategic advisor, guiding engineering teams and CTOs in modern LLM- centric development practices, evaluation, deployment, and monitoring.
Role Overview
Key Responsibilities
Monterro is a Stockholm- based private equity firm specializing exclusively in Nordic B2B software companies. We manage EUR 1.1 bn across four funds and are building a dedicated AI team to accelerate AI adoption and value creation across our 23+ portfolio companies.

Select and integrate appropriate tooling (MLflow, SageMaker, Vertex AI, Kubeflow, Metaflow, Airflow, DVC, etc.) based on each company’s tech stack.
Package reference architectures and infrastructure- as- code templates to accelerate adoption.
Design end- to- end workflows covering data acquisition, model training/fine- tuning (e.g., LoRA/PEFT), evaluation, deployment, and monitoring.

Evaluation & Monitoring

Establish automated evaluation gates focusing on accuracy, relevance, latency, and cost.
Implement performance and drift monitoring dashboards with alerting and rollback strategies.

Data Strategy & Governance

Advise on dataset curation, versioning, feedback loops, and synthetic data generation where appropriate.
Ensure compliance with GDPR and license requirements for open- source models and datasets.

Deployment & Scaling

Deploy models as containerised microservices or batch jobs on cloud or on- prem infrastructure.
Optimise inference cost and latency through batching, quantisation, or model selection.

Enablement & Advisory

Document best practices and hand over ownership cleanly at project end.
Provide architectural reviews, cost modelling, and build- vs- buy recommendations to CTOs.
Run workshops and pair- programming sessions to upskill client engineers.

Continuous Tool Evaluation

Keep abreast of emerging LLM platforms, vector databases, and orchestration frameworks.
Share concise evaluations so portfolio companies can make informed choices quickly.

Yêu cầu công việc

Technical Experience (Must- Have)

5+ years building and operating machine- learning systems in production environments.
Practical knowledge of MLOps tooling (one or more of MLflow, Kubeflow, Metaflow, SageMaker, Vertex AI).
Strong Python skills and experience with modern DL frameworks (PyTorch or TensorFlow).
Proficiency with containerization (Docker) and CI/CD pipelines.
Familiarity with cloud services (AWS, GCP, Azure) or Kubernetes- based deployments.
Hands- on experience fine- tuning or integrating large language models (RAG, custom chatbots, etc.).

Growth Areas (Can Learn Quickly)

Vector databases (Pinecone, Weaviate, Qdrant) and retrieval- augmented generation patterns.
Security best practices for LLM endpoints (rate- limiting, prompt- injection mitigation).
Advanced optimization techniques (quantization, LoRA variants) for cost- efficient inference.

Communication & Collaboration

Excellent English (spoken and written); able to explain complex topics to both engineers and executives.
Experience running technical workshops and mentoring development teams.

Work Style & Mindset

Comfortable juggling multiple short engagements and switching contexts quickly.
Timezone flexibility – able to overlap with Nordic working hours.
Passionate about enabling others to succeed; measures success by portfolio company self- sufficiency.

You’ll get to work with experienced software engineers worldwide at market leading, innovative Scandinavian SaaS company looking to accelerate growth.
Scandinavian Work Culture: creativity, innovation and work- life balance.
Premium healthcare and accident insurance.
Wellness package supports employees to stay healthy and wealthy.
Modern working environment
On- site and training opportunities in Nordic.
Competitive salary and 100% official salary during the probation period.
Exciting company outing/events and team building activities.
Annual review and 13th month salary.

Cập nhật gần nhất lúc: 2025-07-14 17:05:03