Key Responsibilities
- Design, develop, and optimize AI agents that support enterprise business workflows
- Build and maintain agentic workflows that drive automation, execution, and business insights
- Integrate Large Language Models (LLMs) and AI services into production environments
- Utilize APIs and AI SDKs to enhance and extend AI agent capabilities
- Develop backend services and integrations using Python
- Support AI workloads leveraging Google Cloud Platform technologies and BigQuery
- Optimize AI agent performance, token utilization, and cost efficiency
- Partner with business stakeholders to understand and solve real-world use cases
- Build scalable and maintainable AI solutions that improve decision-making across multiple business domains
- Support deployment, monitoring, and operational excellence of AI-powered systems
Key Requirements and Technology Experience
- Key Skills; Background in AI Engineering, Software Engineering, Machine Learning Engineering, or Data Engineering
- Experience deploying containerized applications using Docker
- Exposure to CI/CD processes and automation pipelines
- Experience working in multi-cloud environments (Google Cloud Platform preferred, Azure exposure helpful)
- Retail, supply chain, planning, forecasting, or allocation experience is a plus
- SQL and/or R experience
- 5+ years of strong Python development experience
- Hands-on experience building or supporting AI Agents and Agentic Workflows
- Experience working with LLMs and Generative AI technologies
- Exposure to AI SDKs such as OpenAI, Anthropic, or similar platforms
- Experience integrating APIs into AI-driven solutions
- Google Cloud Platform cloud experience, including BigQuery and cloud-native services
- Understanding of AI agent optimization, deployment, and operational performance
Rate:
Not specified
Location:
Remote
IR35 Status:
Outside
Remote Status:
Remote
Industry:
AI & Machine Learning
Seniority Level:
Senior