Posted 22 August, 2026
Python Gen AI - Deloitte
Euclid Innovations
Telangana,India
Full Time
Reference: 365_679030_26-00468
Mandatory skill:
Strong hands-on experience in Python development
Strong understanding of AI and Generative AI concepts
Experience building agentic AI solutions
Hands-on experience with Python ADK or similar agent development frameworks
Good understanding of prompt engineering
Ability to write effective instructions for agents and define agent behaviors
Experience with agentic flows / orchestration patterns
Working knowledge of MCP (Model Context Protocol)
Experience with RAG techniques
Familiarity with MLflow or similar ML lifecycle tooling
Exposure to LangGraph or graph-based orchestration frameworks
Good understanding of Agile / Agile team ways of working
Strong debugging, problem-solving, and Python coding skills
Good to have:
Experience in Big Data ecosystems
Hands-on experience with PySpark
A complementary secondary skill aligned to the primary AI/Python skillset, such as data engineering, cloud, or MLOps
Exposure to scalable data processing pipelines
Familiarity with deploying AI workloads in enterprise environments
Design, build, and enhance AI and Generative AI solutions using Python
Develop and manage agentic workflows for complex task execution
Create effective prompts, system instructions, and agent interaction patterns
Build AI applications using Python-based tools, frameworks, and ADKs
Work with MCP, agent/tool integration patterns, and orchestration frameworks
Implement and manage RAG-based techniques for context-aware AI use cases
Use MLflow or similar tools to support experiment tracking and model lifecycle workflows
Collaborate in an Agile delivery environment with cross-functional teams
Translate business requirements into scalable AI-enabled solutions
Support testing, debugging, and optimization of Python-based AI applications
Strong hands-on experience in Python development
Strong understanding of AI and Generative AI concepts
Experience building agentic AI solutions
Hands-on experience with Python ADK or similar agent development frameworks
Good understanding of prompt engineering
Ability to write effective instructions for agents and define agent behaviors
Experience with agentic flows / orchestration patterns
Working knowledge of MCP (Model Context Protocol)
Experience with RAG techniques
Familiarity with MLflow or similar ML lifecycle tooling
Exposure to LangGraph or graph-based orchestration frameworks
Good understanding of Agile / Agile team ways of working
Strong debugging, problem-solving, and Python coding skills
Good to have:
Experience in Big Data ecosystems
Hands-on experience with PySpark
A complementary secondary skill aligned to the primary AI/Python skillset, such as data engineering, cloud, or MLOps
Exposure to scalable data processing pipelines
Familiarity with deploying AI workloads in enterprise environments
Design, build, and enhance AI and Generative AI solutions using Python
Develop and manage agentic workflows for complex task execution
Create effective prompts, system instructions, and agent interaction patterns
Build AI applications using Python-based tools, frameworks, and ADKs
Work with MCP, agent/tool integration patterns, and orchestration frameworks
Implement and manage RAG-based techniques for context-aware AI use cases
Use MLflow or similar tools to support experiment tracking and model lifecycle workflows
Collaborate in an Agile delivery environment with cross-functional teams
Translate business requirements into scalable AI-enabled solutions
Support testing, debugging, and optimization of Python-based AI applications
