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Sunnystep is hiring an AI Engineer to build practical AI systems that improve how the company operates. This role is for someone who can ship real tools, connect AI with business workflows, and turn manual processes into scalable systems. We are not looking for someone who only experiments with AI models. We need a builder who can understand business problems, design solutions, and make them work reliably.
You will work across areas such as customer experience, retail operations, marketing, recruitment, product, sales analysis, inventory planning, reporting, and internal automation. The goal is to build AI systems that help teams make better decisions, reduce repetitive work, improve speed, and increase output quality.
Key responsibilities:
Build and maintain AI agents, automation workflows, internal tools, dashboards, and data pipelines
Integrate LLMs with company documents, databases, spreadsheets, APIs, communication tools, and operational workflows
Develop prototypes quickly, test them with users, and turn successful prototypes into reliable production tools
Work with business teams to identify high-impact automation opportunities and translate them into technical solutions
Build AI-enabled tools for use cases such as customer support, candidate screening, sales analysis, inventory planning, marketing automation, reporting, and knowledge management
Improve AI reliability through prompt design, structured outputs, evaluation, monitoring, error handling, and human-in-the-loop review
Maintain clean code, documentation, version control, and handover notes
Debug issues, improve system performance, and ensure tools are usable by non-technical teams
Help Sunnystep become more AI-native by reducing manual work across the company
Requirements:
Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, Data Science, AI, Information Systems, or a related technical field
Strong Python or JavaScript/TypeScript skills
Experience working with LLM APIs, AI agents, RAG, workflow automation, data integrations, or internal tools
Comfortable with APIs, databases, cloud tools, Git, and basic software engineering practices
Able to understand business workflows and turn ambiguous problems into working systems
Strong debugging ability, ownership, learning speed, and attention to detail
Bonus: experience with OpenAI, Anthropic, Gemini, LangChain, LlamaIndex, vector databases, automation platforms, web apps, dashboards, or operations tooling
We are looking for someone who is practical, fast, and systems-minded. The best candidate will enjoy building useful AI tools, working close to business teams, and seeing their work directly improve company performance.
Job ID: 149240613
Skills:
CDK, Jenkins, Typescript, Javascript, Docker, Terraform, Kubernetes, Python, LangChain, AWS Bedrock, pgvector, Pinecone, Platform Events, LangGraph, Agentcore, Agentforce, GitHub Actions, Vertex AI, Salesforce Apex, Weaviate
Skills:
Machine Learning, Google Cloud, Sql, Jenkins, Git, Docker, Microsoft Azure, Kubernetes, Python, AWS, GitHub Actions, Data Processing Tools
Skills:
Python, React, Data Science, Llm, Ai
Skills:
python, Git, Docker, Kubernetes, GenAI, ci/cd
Skills:
Erp, Rest Api, Bpm, Sap, Oracle, Netsuite, Python, Pandas, Sql, Etl, Powerbi, epicor, dmt, Airflow
We don’t charge any money for job offers