AI/ML Engineer

Mployee.me; Pune District; Remote; INR 3,000,000 - 5,400,000; Full time

Benefits offered by this job

Competitive salary

Culture focused on talent development

Cutting-edge technologies

Health and education sponsorship

Job summary

Mployee.me is seeking an experienced AI/ML Engineer to design, build, and deploy scalable AI, Generative AI, and Agentic AI solutions. The role emphasizes Python, LLMs, vector databases, and Azure AI services, with strong collaboration across data scientists and product teams.

The ideal candidate has 7–14 years of experience, and will work on CI/CD pipelines, MLOps, and cloud-native deployments in a remote/international setting.

Qualifications

• 7 to 14 years of experience in software engineering, AI/ML engineering, or data science.
• Strong hands-on expertise in Python, including Pandas, NumPy, PyTorch, and Scikit-learn.
• Proven experience developing and deploying production-grade AI/ML and Generative AI solutions.
• Strong understanding of Large Language Models (LLMs), foundation models, and modern AI architectures.
• Hands-on experience with Agentic AI frameworks such as LangChain, AutoGen, CrewAI, or similar technologies.
• Experience designing and implementing RAG solutions using vector databases and retrieval techniques.
• Proficiency in FastAPI, Pydantic, and asynchronous Python programming.
• Hands-on experience with Azure AI Services, Azure OpenAI, and cloud-based AI platforms.
• Experience integrating AI solutions with enterprise applications and business workflows.
• Strong understanding of prompt engineering, model evaluation, and AI performance optimization techniques.
• Experience using GitLab for version control and collaborative development.
• Familiarity with Docker, Kubernetes, MLOps, and AI deployment best practices.
• Strong analytical, troubleshooting, and problem-solving skills.
• Excellent communication and stakeholder management abilities.
• Ability to mentor team members and contribute to technical leadership initiatives.

Responsibilities

• Design, develop, and deploy AI/ML, Generative AI, and LLM-based applications using Python and modern AI frameworks.
• Build Agentic AI solutions using LangChain, AutoGen, CrewAI, and related orchestration frameworks.
• Develop Retrieval-Augmented Generation (RAG) applications leveraging vector databases and advanced retrieval techniques.
• Design and implement scalable AI services and APIs using FastAPI, Pydantic, and asynchronous Python.
• Build and optimize machine learning models using PyTorch, Scikit-learn, Pandas, and NumPy.
• Integrate AI solutions with Azure AI Services and cloud-native environments.
• Develop prompt engineering strategies to improve LLM performance, accuracy, and user experience.
• Collaborate with data scientists, architects, product teams, and business stakeholders to deliver innovative AI solutions.
• Implement model monitoring, evaluation, testing, and performance optimization processes.
• Utilize GitLab-based development workflows and contribute to CI/CD implementation for AI applications.
• Support deployment and operationalization of AI solutions using Docker, Kubernetes, and MLOps practices.
• Stay current with emerging AI technologies, frameworks, and industry best practices.

Skills

Python

Pandas

NumPy

PyTorch

Scikit-learn

LLMs

Agentic AI

LangChain

AutoGen

CrewAI

RAG

Vector databases

FastAPI

Pydantic

Async Python

Azure OpenAI

Azure AI Services

Docker

Kubernetes

MLOps

GitLab

CI/CD

API design

Stakeholder management

Mentoring

Tools

LangChain

AutoGen

CrewAI

Azure OpenAI

FastAPI

Pydantic

Docker

Kubernetes

GitLab

CI/CD

Job description

About Position:

We are looking for an experienced AI/ML Engineer to design, build, and deploy scalable Artificial Intelligence, Generative AI, and Agentic AI solutions that solve complex business challenges. The ideal candidate will have strong expertise in Python, Large Language Models (LLMs), Agentic AI frameworks, Retrieval-Augmented Generation (RAG), Vector Databases, and Azure AI services.

• Role: AI/ML Engineer
• Location: All Persistent Locations
• Experience: Between 7 to 14 Years
• Job Type: Full Time Employment

What You'll Do:

• Design, develop, and deploy AI/ML, Generative AI, and LLM-based applications using Python and modern AI frameworks.
• Build Agentic AI solutions using LangChain, AutoGen, CrewAI, and related orchestration frameworks.
• Develop Retrieval-Augmented Generation (RAG) applications leveraging vector databases and advanced retrieval techniques.
• Design and implement scalable AI services and APIs using FastAPI, Pydantic, and asynchronous Python.
• Build and optimize machine learning models using PyTorch, Scikit-learn, Pandas, and NumPy.
• Integrate AI solutions with Azure AI Services and cloud-native environments.
• Develop prompt engineering strategies to improve LLM performance, accuracy, and user experience.
• Collaborate with data scientists, architects, product teams, and business stakeholders to deliver innovative AI solutions.
• Implement model monitoring, evaluation, testing, and performance optimization processes.
• Utilize GitLab-based development workflows and contribute to CI/CD implementation for AI applications.
• Support deployment and operationalization of AI solutions using Docker, Kubernetes, and MLOps practices.
• Stay current with emerging AI technologies, frameworks, and industry best practices.

Expertise You'll Bring:

• 7 to 14 years of experience in software engineering, AI/ML engineering, or data science.
• Strong hands-on expertise in Python, including Pandas, NumPy, PyTorch, and Scikit-learn.
• Proven experience developing and deploying production-grade AI/ML and Generative AI solutions.
• Strong understanding of Large Language Models (LLMs), foundation models, and modern AI architectures.
• Hands-on experience with Agentic AI frameworks such as LangChain, AutoGen, CrewAI, or similar technologies.
• Experience designing and implementing RAG solutions using vector databases and retrieval techniques.
• Proficiency in FastAPI, Pydantic, and asynchronous Python programming.
• Hands-on experience with Azure AI Services, Azure OpenAI, and cloud-based AI platforms.
• Experience integrating AI solutions with enterprise applications and business workflows.
• Strong understanding of prompt engineering, model evaluation, and AI performance optimization techniques.
• Experience using GitLab for version control and collaborative development.
• Familiarity with Docker, Kubernetes, MLOps, and AI deployment best practices.
• Strong analytical, troubleshooting, and problem-solving skills.
• Excellent communication and stakeholder management abilities.
• Ability to mentor team members and contribute to technical leadership initiatives.

Benefits:

• Competitive salary and benefits package
• Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications
• Opportunity to work with cutting-edge technologies
• Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
• Annual health check-ups
• Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents

Values-Driven, People-Centric & Inclusive Work Environment:

Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.

• We support hybrid work and flexible hours to fit diverse lifestyles.
• Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
• If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment.

"Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind."