AI Engineer
Zartis
About the position
Join a global AI transformation team to build cutting-edge AI solutions in the green energy industry. Collaborate with experienced engineers and contribute to impactful projects that drive business outcomes.
Tech stack
- aws
- databricks
- ai
- ml
- rag
- llm
Requirements
Required:
- Solid background in data science, data engineering, or a related discipline, with practical AI/ML experience
- Proven, hands-on experience building agentic AI systems, LLM-powered applications, and RAG pipelines
- Strong working knowledge of the AWS ecosystem, particularly services relevant to AI/ML workloads
- Experience with Databricks for data engineering, ML pipelines, or model serving
Nice to have:
- Experience with LLM orchestration frameworks such as LangChain, LlamaIndex, or LangGraph
- Familiarity with vector databases or graph-based retrieval techniques
- Exposure to Slack API integrations or building knowledge tools on top of internal communication platforms
Responsibilities
- Build and extend multi-agent systems and agentic workflows using frameworks such as AWS Agent Core and AWS Bedrock Flows
- Develop and integrate Retrieval-Augmented Generation (RAG) pipelines for internal tools
- Implement LLM-powered chatbots, assistants, and autonomous agents tailored to specific business use cases
- Collaborate closely with the Team Lead to understand requirements and translate them into reliable, scalable implementations
Benefits
- 100% Remote Work
- WFH allowance: Monthly payment as financial support for remote working
- Career Growth: Established career development program accessible for all employees
- Training: Time allocated during the week for tech training and online courses