Expert AI Agentic Developer

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

• Position Title: Expert AI Agentic Developer
• Employment Type: Contractual
• Contract Duration: 1 Year
• Experience Required: 3-5 Years
• Nationality Preference: Swedish (SWE)
• Work Location: Stockholm, Sweden
• Work Mode: Onsite
• Preferred Language: English

Position Details

• Position Title: Expert AI Agentic Developer
• Employment Type: Contractual
• Contract Duration: 1 Year
• Experience Required: 3-5 Years
• Nationality Preference: Swedish (SWE)
• Work Location: Stockholm, Sweden
• Work Mode: Onsite
• Preferred Language: English

Position Summary

We are seeking an experienced Expert AI Agentic Developer to design, develop, and deploy advanced AI agent-based solutions. The ideal candidate will have strong expertise in Agentic AI architectures, Generative AI, LLMOps, cloud deployment, and enterprise integrations. This role requires building scalable, secure, and production-ready AI applications while ensuring Responsible AI, governance, and business alignment.

Key ResponsibilitiesMust Have

• Design, develop, and deploy AI agent-based applications for enterprise use cases
• Build and optimize Agentic AI workflows, including Planner-Executor, Tool Calling, Multi-Agent Systems, and Human-in-the-Loop architectures
• Develop scalable AI solutions using Python with strong coding, testing, and version control practices
• Integrate and utilize Large Language Models (LLMs) and Generative AI frameworks such as OpenAI, LangChain, LangGraph, AutoGen, or similar technologies
• Implement LLMOps practices, including model evaluation, prompt optimization, experimentation, performance monitoring, and performance tuning
• Ensure AI Governance, Responsible AI, and Guardrails through prompt safety, input/output validation, privacy controls, and risk management
• Integrate AI solutions with REST APIs, enterprise systems, business applications, and internal/external tools
• Deploy, manage, and optimize AI applications within AWS cloud environments
• Utilize Docker, Kubernetes, and CI/CD pipelines for deployment automation and scalability
• Work with data platforms such as Snowflake for retrieval, grounding, context management, and AI-powered solutions
• Collaborate with stakeholders to translate business requirements into AI solutions and measurable KPIs

Good to Have

• Experience in Private Banking, Asset & Wealth Management (AWM), Banking, or Financial Services domains
• Experience designing and deploying Retrieval-Augmented Generation (RAG) solutions
• Knowledge of Vector Databases such as Pinecone, Weaviate, Chroma, or FAISS
• Experience building reusable AI frameworks, accelerators, and reference architectures
• Exposure to Model Risk Management, auditability, and compliance requirements in regulated industries
• Experience with AI evaluation frameworks such as Ragas, DeepEval, TruLens, or similar
• Knowledge of MLOps platforms and model lifecycle management tools
• Strong Prompt Engineering and Agent Optimization expertise
• Familiarity with Snowflake Cortex, Databricks, or modern AI and analytics platforms
• Experience mentoring junior developers and leading technical workstreams
• AWS AI/ML, Generative AI, or Cloud Technology certifications