AI Engineer

About Baronit:

At Baronit, we connect brilliant minds to shape the future of technology. As a passionate team of tech experts, we lead with innovation, expertise, and curiosity to help businesses grow and adapt to new opportunities. Our experts blend technical excellence, industry insight, and a strong commitment to delivering exceptional results across sectors such as Automotive, Airline, Fintech, Healthcare, Retail, Telecom, E-commerce, and more.

We are an IT consultancy company based in Gothenburg looking for an experienced AI Engineer to join our team.

Key Responsibilities:

• Build and deploy LLM-powered agents for business process automation (e.g., using LangChain, AutoGen, OpenAI).
• Implement Retrieval-Augmented Generation (RAG) pipelines integrating with internal knowledge sources (e.g., Confluence, Google Drive).
• Develop multi-step reasoning chains, function calling, and agent memory for complex workflows.
• Integrate agents with third-party APIs (Salesforce, GitHub, Jira, Slack, etc.).
• Define best practices around prompt engineering, tool usage, and secure API communication.
• Collaborate with cross-functional teams to understand and prioritize automation opportunities.
• Track AI reliability, hallucination risks, and ethical use across deployed solutions.
• Design evaluation strategies for agent performance, reliability, and business impact.
• Support fine-tuning or embedding optimization to improve agent accuracy and task alignment.

Ideal candidate profile:

• Academic degree in Computer Science, Engineering, or a related field.
• 7+ years of experience in Software Development/DevOps or related field.
• Strong software engineering background- Python a must; experience with Bash, JavaScript or Golang is a plus.
• Hands-on experience with LLM frameworks (LangChain, LlamaIndex) and APIs (OpenAI, Gemini, Claude).
• Proficient in integrating external APIs using REST/GraphQL and managing agent workflows.
• Comfortable with cloud platforms (preferably GCP/Vertex AI or Azure OpenAI) and containerized environments.
• Experience with RAG, semantic search, vector databases (e.g., Pinecone, FAISS), and prompt templating.
• Strong understanding of security, privacy, and responsible AI practices.
• Curious, experimental, and fast learner with excellent communication skills in English.
• Familiarity with orchestration frameworks (e.g., CrewAI, MetaGPT, AutoGen) is a strong advantage.

In addition to exciting projects, we also offer:

• Flexible salary model – choose between a fixed salary or a revenue-based model where you receive X% of your client rate, with full transparency
• Technical forums for continuous learning and knowledge sharing
• Social activities to stay connected and engaged
• Annual offsite conference for team bonding and inspiration
• And above all – a great team spirit and a focus on enjoying the journey together