Posted 04 July, 2026
562255_DNAFS_Agentic & Generative AI, Azur, LangChain, LangGraph, Python, Fast API_India
ClifyX
India
Full Time
Reference: 365_594563_26-06775
"Candidate should have Bachelor's or higher degree in Computer Science, Engineering, or related field.
10+ years of overall IT experience with development background minimum 2+ years of experience on Agentic and Generative AI.
Candidate should have strong foundation in Probability, Statistics, Linear Algebra, Calculus, Machine Learning, and Generative AI/LLM concepts.
Candidate should have expertise in Deep Learning techniques and practical implementations of Generative AI, including understanding the math behind models.
Candidate should have Hands-on experience with Large Language Model APIs (Azure OpenAI, Anthropic, etc.) and cloud ecosystems (Azure, AWS, GCP, Databricks).
Candidate should have proficiency in frameworks like LangChain, LangGraph, CrewAI, Autogen, MS Semantic Kernel, and Google ADK for agent development.
Candidate should have strong skills in Python and familiarity with AI/ML libraries (PyTorch, TensorFlow), FastAPI, ReactJS, and JavaScript.
Candidate should have experience in data engineering (ETL, vector databases, embeddings, Azure Storage) and MLOps (model deployment, pipeline monitoring).
Candidate should be proficient Knowledge of Azure DevOps, GitLab Pipelines, Ansible, and related CI/CD practices.
Candidate should be proficient in LangChain/LangGraph for building AI workflows and working with vector databases for semantic search.
Additional Skills: Familiarity with FSD (Full Stack Development), React (Azure UI Search API), and integration with Azure OpenAI services."
10+ years of overall IT experience with development background minimum 2+ years of experience on Agentic and Generative AI.
Candidate should have strong foundation in Probability, Statistics, Linear Algebra, Calculus, Machine Learning, and Generative AI/LLM concepts.
Candidate should have expertise in Deep Learning techniques and practical implementations of Generative AI, including understanding the math behind models.
Candidate should have Hands-on experience with Large Language Model APIs (Azure OpenAI, Anthropic, etc.) and cloud ecosystems (Azure, AWS, GCP, Databricks).
Candidate should have proficiency in frameworks like LangChain, LangGraph, CrewAI, Autogen, MS Semantic Kernel, and Google ADK for agent development.
Candidate should have strong skills in Python and familiarity with AI/ML libraries (PyTorch, TensorFlow), FastAPI, ReactJS, and JavaScript.
Candidate should have experience in data engineering (ETL, vector databases, embeddings, Azure Storage) and MLOps (model deployment, pipeline monitoring).
Candidate should be proficient Knowledge of Azure DevOps, GitLab Pipelines, Ansible, and related CI/CD practices.
Candidate should be proficient in LangChain/LangGraph for building AI workflows and working with vector databases for semantic search.
Additional Skills: Familiarity with FSD (Full Stack Development), React (Azure UI Search API), and integration with Azure OpenAI services."
