Machine Learning Engineer

DRISHTICON Inc is an IT consulting and technology solutions company specializing in enterprise e-commerce, cloud technologies, systems integration, and digital transformation. The Machine Learning Engineer will build, optimize, deploy, and support agentic AI solutions using LLMs, Python, cloud technologies, and AI orchestration frameworks to automate business workflows and improve decision-making.

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 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 GCP 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

Requirements:

• Strong Python development experience
• 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
• GCP cloud experience, including BigQuery and cloud-native services
• Experience working with unstructured data
• Understanding of AI agent optimization, deployment, and operational performance
• 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 (GCP preferred, Azure exposure helpful)
• Retail, supply chain, planning, forecasting, or allocation experience is a plus
• SQL and/or R experience