Machine Learning Engineer

About the role

Client is seeking experienced AI Engineers to design, build, optimize, and scale next-generation AI agents and agentic workflows that support critical business functions, including planning, allocation, forecasting, pricing, and operational execution. This role is part of a growing AI initiative focused on developing and deploying AI-powered agents to automate workflows, improve productivity, enhance decision-making, and drive measurable business outcomes.

Responsibilities

• Design, develop, and optimize AI agents and agentic workflows supporting enterprise business processes.
• Build scalable AI solutions that automate workflows, improve operational efficiency, and support business decision-making.
• Integrate LLMs, Generative AI services, AI SDKs, and APIs into production applications.
• Develop backend services, integrations, and AI-driven applications primarily using Python.
• Build and maintain agent orchestration workflows using frameworks such as LangChain, LangGraph, or Google ADK.
• Leverage GCP cloud services and BigQuery to support AI workloads and data-driven applications.
• Work with structured and unstructured data to enable AI-powered business solutions.
• Optimize AI agents for performance, reliability, token utilization, latency, and cost efficiency.
• Support the deployment, monitoring, troubleshooting, and continuous improvement of AI-powered applications.
• Partner with business stakeholders, product teams, and technical teams to translate business challenges into practical AI solutions.
• Develop maintainable, scalable, and production-ready AI applications across multiple business functions.
• Contribute to AI engineering best practices, automation, deployment processes, and operational excellence.

Required / Must-Have Qualifications

• Strong hands-on Python development experience.
• Proven experience building, deploying, or supporting AI Agents and Agentic AI workflows.
• Hands-on experience with LLMs and Generative AI technologies.
• Experience with AI SDKs/APIs such as OpenAI, Anthropic, or similar platforms.
• Strong experience integrating REST APIs and/or other external services into AI-driven applications.
• Experience with Google Cloud Platform (GCP) and cloud-native services.
• Hands-on experience with BigQuery or similar cloud data platforms.
• Experience working with unstructured data.
• Understanding of AI agent optimization, deployment, monitoring, and production operations.
• Strong software engineering fundamentals, including application design, debugging, testing, and maintainability.

Preferred Qualifications

• Degree or professional background in AI Engineering, Software Engineering, Machine Learning Engineering, Data Engineering, or a related field.
• Experience with agent orchestration frameworks such as LangChain, LangGraph, or Google Agent Development Kit (ADK).
• Experience deploying containerized applications using Docker.
• Exposure to CI/CD pipelines, DevOps practices, and deployment automation.
• Experience working in multi-cloud environments, with GCP preferred and Azure exposure a plus.
• Experience with SQL and/or R.
• Experience in retail, supply chain, merchandising, planning, forecasting, pricing, or allocation is a strong plus.