Gen AI Engineer with Python | Consultant / Senior Consultant

Alignity Solutions; Hyderabad; On-site; INR 5,000,000 - 7,500,000; Part time

Benefits offered by this job

Equal Opportunity Employer

Job summary

Alignity Solutions is seeking Gen AI Engineers with strong Python development expertise to design, develop, and deploy enterprise-grade AI solutions. The role focuses on building Agentic AI applications, implementing RAG architectures, and working with LLMs.

You will design agent workflows, orchestration patterns, and multi-agent architectures, develop prompts, and integrate AI agents using MCP and tool-calling frameworks within a hybrid, contract-to-hire arrangement.

Qualifications

• 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.

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.

Skills

Python Development

Generative AI

Agentic AI

LLMs

Prompt Engineering

Agentic Workflows

RAG

MLflow

Agile

Debugging

Distributed AI

Tools

Python ADK

LangGraph

MCP

REST APIs

Docker

Kubernetes

Git

Job description

Do you love a career where you Experience, Grow & Contribute at the same time, while earning at least 10% above the market? If so, we are excited to have bumped onto you.

Learn how we are redefining the meaning of work, and be a part of the team raved by Clients, Job-seekers and Employees.

• Jobseeker Video Testimonials
• Employee Glassdoor Reviews

Role

Gen AI Engineers with strong Python development expertise Consultant

Experience

8+Years

Location

Hyderabad | Bengaluru | Pune | Chennai

Work Mode

Hybrid

Type

Contract to Hire(30 days Then Full time)

Notice Period

0-30 days

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

Alignity Solutions is an Equal Opportunity Employer, M/F/V/D.