Gen AI Engineer with Python | Consultant / Senior Consultant

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We are an IT Solutions Integrator/Consulting Firm helping our clients hire the right professional for an exciting long-term project. Here are a few details.

Requirements

We are looking for highly skilled Gen AI Engineers with strong Python development expertise to design, develop, and deploy enterprise-grade AI solutions. The ideal candidate should have hands-on experience building Agentic AI applications, implementing RAG architectures, working with LLMs, and developing scalable AI-powered applications using modern orchestration frameworks.

This is an excellent opportunity to work on cutting-edge AI initiatives involving autonomous agents, enterprise AI platforms, and next-generation Generative AI solutions.

Key Responsibilities

• Design, develop, and enhance enterprise AI and Generative AI solutions using Python.
  
• Build intelligent Agentic AI applications capable of autonomous task execution.
  
• Design and implement agent workflows, orchestration patterns, and multi-agent architectures.
  
• Develop effective prompts, system instructions, and agent interaction strategies.
  
• Build AI applications using Python ADKs and modern AI development frameworks.
  
• Implement Retrieval-Augmented Generation (RAG) solutions for context-aware AI applications.
  
• Integrate AI agents using Model Context Protocol (MCP) and tool-calling frameworks.
  
• Utilize LangGraph or similar graph-based orchestration frameworks for workflow automation.
  
• Manage experiment tracking and model lifecycle using MLflow or equivalent tools.
  
• Collaborate with cross-functional Agile teams to translate business requirements into AI-enabled solutions.
  
• Optimize, debug, test, and deploy scalable AI applications for enterprise environments.
  
• Contribute to architecture discussions and AI solution design.
  

Required Skills

Mandatory Skills

• Strong hands-on experience in Python Development
  
• Excellent understanding of Artificial Intelligence and Generative AI
  
• Experience designing and building Agentic AI Solutions
  
• Hands-on experience with Python ADK or similar agent development frameworks
  
• Strong knowledge of Prompt Engineering
  
• Experience defining agent behaviors, instructions, and interaction patterns
  
• Experience implementing Agentic Workflows and orchestration frameworks
  
• Working knowledge of Model Context Protocol (MCP)
  
• Experience implementing Retrieval-Augmented Generation (RAG)
  
• Hands-on experience with MLflow or similar ML lifecycle management tools
  
• Experience using LangGraph or graph-based orchestration frameworks
  
• Strong debugging and problem-solving skills
  
• Experience working in Agile development environments
  

Good to Have

• Experience with PySpark
  
• Knowledge of Big Data ecosystems
  
• Experience with Data Engineering
  
• Cloud platform experience (Azure, AWS, or GCP)
  
• MLOps exposure
  
• Experience building scalable AI data pipelines
  
• Experience deploying enterprise AI applications in production
  
• Knowledge of distributed AI workloads
  

Preferred Technical Stack

• Python
  
• Generative AI
  
• Large Language Models (LLMs)
  
• Agentic AI
  
• Python ADK
  
• LangGraph
  
• MCP (Model Context Protocol)
  
• RAG
  
• MLflow
  
• Prompt Engineering
  
• REST APIs
  
• Git
  
• Docker
  
• Kubernetes (Preferred)
  
• Azure/AWS/GCP (Preferred)
  
• PySpark (Preferred)
  

Benefits