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Strong employer brand, metro location, and mid-level role increase candidate competition.
Core ML, LLM, and Python skills are broadly transferable across industries.
Mandatory 4+ years, ML/LLM frameworks, and production deployment skills enforce high shortlisting strictness.
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Develop and deploy Generative AI solutions using large language models for enterprise use cases including text generation and summarization.
Implement and maintain agentic AI systems with multi-agent frameworks to automate workflows and decision pipelines.
Build end-to-end AI pipelines from data ingestion through model inference with scalable, production-ready Python code, leveraging frameworks like LangChain and Pydantic AI.
Bachelor’s Degree in Computer Science, Mathematics, or related field.
4+ years of progressively responsible experience in an IT technical role.
Experience developing and deploying ML solutions using libraries such as Scikit-learn, NumPy, Pandas, PyTorch, TensorFlow/Keras.
Hands-on knowledge of GenAI & agentic frameworks like LangChain, LangGraph, Pydantic AI, and familiarity with LLM platforms such as Azure OpenAI, AWS Bedrock, or Google Vertex AI.
Experienced in building complex AI/ML applications within enterprise environments using generative models and multi-agent AI frameworks.
Able to work with CI/CD workflows and Agile/Scrum methodologies in collaborative team settings.
Comfortable using modern AI developer tools (e.g., GitHub Copilot) and integrating AI orchestration libraries to deliver scalable production systems.