Agentic & Generative AI developer

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Skills you'll use

What you'll do

• Develop, test, and maintain Agentic AI workflows using Langchain, LangGraph, Google ADK, etc.
• Convert AI architecture into working prototypes and deployable components.
• Build and enhance RAG pipelines, agent-based applications, and knowledge retrieval systems.
• Perform data preprocessing, feature engineering, and model optimization.
• Collaborate with teams to build reusable GenAI modules and enforce coding best practices.
• Manage cloud-based deployments on AWS, Azure, or GCP.
• Debug and resolve system bottlenecks, ensuring performance and reliability.
• Keep up with advancements in GenAI, LLMs, and autonomous agents.
• Required Skills & Qualifications:
• Strong coding background in Python with AI/ML engineering experience.

Who can apply

• Strong coding background in Python with AI/ML engineering experience.
• Proven track record of working with LLMs, Transformer models, and Agentic AI frameworks.
• Familiarity with prompt engineering, API integration, and model orchestration.
• Hands-on experience with RAG architectures, vector databases, and agent-to-agent communication (MCP).
• Working knowledge of SQL/NoSQL, data warehousing, and analytical querying.
• Understanding of CI/CD pipelines, Docker, and Kubernetes for model lifecycle management.
• Experience with LangGraph agent orchestration or similar agentic toolkits.
• Exposure to enterprise-grade AI applications in finance, healthcare, or e-commerce.

About Sutherland

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