Expert AI Agentic Developer
Malmö, Malmö, Sweden
Contracted
Experienced
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 Responsibilities
Must 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.
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