Senior AI Agentic Developer – Onsite Stockholm

Datamatics Technologies; Göteborgs kommun; On-site; SEK 900,000 - 1,200,000; Full time

Job summary

Datamatics Technologies in Stockholm, Sweden, seeks an experienced Expert AI Agentic Developer for a 1-year contractual role onsite. The candidate will design, build, and deploy agent-based AI solutions using Python, LLMs, and enterprise integrations.

Requirements include 3–5 years of AI/developer experience, strong Python skills, and familiarity with AWS, Docker/Kubernetes, and MLOps practices. English proficiency is required.

Qualifications

• 3–5 years of experience in AI/developer roles.
• Strong Python coding, testing and version control practices.
• Experience with LLMs, generative AI frameworks, and cloud deployment.
• Ability to design agent-based, scalable AI apps for enterprise use.

Responsibilities

• Design, develop, and deploy AI agent-based applications for enterprise use cases.
• Build and optimize Agentic AI workflows (Planner-Executor, Tool Calling, Multi-Agent, HIT).
• Develop scalable AI solutions using Python with testing and version control.
• Integrate LLMs and Generative AI frameworks (OpenAI, LangChain, LangGraph, AutoGen).
• Implement LLMOps including evaluation, prompts, monitoring, and tuning.
• Ensure Responsible AI, governance, and guardrails.
• Integrate AI solutions with REST APIs and enterprise systems.
• Deploy and manage AI apps in AWS; use Docker/Kubernetes and CI/CD.
• Work with Snowflake for data grounding and context management.
• Collaborate with stakeholders to translate requirements into measurable KPIs.

Skills

Python

LLMs

AI governance

AWS

Docker

Kubernetes

CI/CD

Snowflake

Tools

LangChain

LangGraph

AutoGen

OpenAI

Job description

Datamatics Technologies in Stockholm, Sweden, seeks an experienced Expert AI Agentic Developer for a 1-year contractual role onsite. The candidate will design, build, and deploy agent-based AI solutions using Python, LLMs, and enterprise integrations.

Requirements include 3–5 years of AI/developer experience, strong Python skills, and familiarity with AWS, Docker/Kubernetes, and MLOps practices. English proficiency is required.