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Job Description
Structured overview of role & requirementsAbout This Role
Develop and deploy Generative AI solutions leveraging large language models for enterprise applications including text generation, summarization, RAG, and intelligent assistants.
Implement multi-agent Agentic AI systems to automate complex workflows and decision-making pipelines.
Build and maintain AI/ML pipelines from data ingestion to model inference, ensuring scalable and production-ready Python code using frameworks like LangChain, LangGraph, and Pydantic AI.
Minimum Requirements
Bachelor’s Degree in Computer Science, Mathematics or related field.
Minimum 4 years of progressively responsible experience in IT technical roles.
Experience with ML libraries/frameworks such as Scikit-learn, NumPy, Pandas, PyTorch, TensorFlow/Keras.
Experience with Generative AI and Agentic frameworks like LangChain, LangGraph, Pydantic AI, LlamaIndex, and LLM platforms like Azure OpenAI, AWS Bedrock, or Google Vertex AI.
Ideal Candidate Profile
Proficient in developing production-level AI and ML solutions with hands-on experience in advanced Generative AI and multi-agent frameworks.
Familiar with CI/CD workflows and Agile/Scrum development practices oriented towards collaborative software delivery.
Experience or interest in building scalable AI applications on platforms like Databricks and possibly contributing to AI-powered web applications using ReactJS.