Senior AI Engineer

Quantum Integrators; Pune District; On-site; INR 400,000 - 700,000; Full time

Job summary

Quantum Integrators in Pune, India, is seeking an experienced AI Engineer with hands-on Generative AI, LLM, and ML pipeline expertise. You will design, develop, and deploy AI solutions for business-critical apps, collaborating across product, engineering, and business teams.

4+ hours of overlap with UK/EST shift ensures global collaboration, with a Monday–Friday office-based work pattern. The role emphasizes RAG architectures, vector databases, and production-grade AI deployments, requiring

Qualifications

• Bachelor's or Master's in Computer Science with AI/Data Science as major.
• 7+ years of hands-on AI/ML engineering experience.

Responsibilities

• Design, develop, and deploy AI solutions for business-critical apps.
• Build and optimize Generative AI applications using LLMs.
• Develop end-to-end ML pipelines: data prep, training, evaluation, deployment.
• Fine-tune foundation models for business use cases.
• Implement RAG architectures and vector DB solutions.
• Integrate AI with enterprise apps and APIs.
• Monitor performance and continuously improve AI systems.
• Collaborate with product/engineering/business teams to translate requirements.
• Stay updated with AI tech and best practices.
• Ensure security, compliance, and responsible AI practices.

Skills

7+ years experience

Python

TensorFlow

PyTorch

Scikit-learn

Hugging Face

LLMs

RAG

vector databases

LangChain

LangGraph

LlamaIndex

REST APIs

Docker

Kubernetes

CI/CD

cloud platforms

Education

Bachelor's or Master's in CS with AI/Data Science

Tools

TensorFlow

PyTorch

Scikit-learn

Hugging Face

Pinecone

Weaviate

Chroma

FAISS

LangChain

LangGraph

LlamaIndex

Docker

Kubernetes

Job description

Location: Pune, MH (Work from office, 5 days a week)

Employment Type: Full-Time

Experience: 7 to 10 years

Shift Time: UK/EST Shift (04.00 PM to 01.00 AM IST / 06.30 PM to 03.30 AM EST)

About the Role:

• We are seeking a highly skilled and experienced AI Engineer to join our growing team. The ideal candidate will have strong expertise in designing, developing, and deploying AI solutions, with hands-on experience in Generative AI, Large Language Models (LLMs), machine learning frameworks, and cloud-based AI platforms. This role requires collaboration with cross-functional teams and alignment with stakeholders.

Key Responsibilities:

• Design, develop, and deploy AI solutions for business-critical applications.
• Build and optimize Generative AI applications using Large Language Models (LLMs).
• Develop and maintain end-to-end machine learning pipelines, including data preprocessing, model training, evaluation, and deployment.
• Fine-tune and customize foundation models for specific business use cases.
• Implement Retrieval-Augmented Generation (RAG) architectures and vector database solutions.
• Integrate AI solutions with existing enterprise applications and APIs.
• Monitor model performance, troubleshoot issues, and continuously improve AI systems.
• Collaborate with product, engineering, and business teams to translate requirements into scalable AI solutions.
• Stay updated with emerging AI technologies, frameworks, and industry best practices.
• Ensure adherence to security, compliance, and responsible AI standards.

Required Skills & Qualifications:

• Bachelor's or Master's degree in Computer Science with major in Artificial Intelligence, Data Science, or a related field.
• 7+ years of hands-on experience in AI/ML engineering and solution development.
• Strong proficiency in Python and AI/ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Hugging Face.
• Experience working with Large Language Models (OpenAI, Claude, Llama, Gemini, etc.).
• Hands-on experience with RAG frameworks, vector databases (Pinecone, Weaviate, Chroma, FAISS, etc.), and prompt engineering.
• Experience with LangChain, LangGraph, LlamaIndex, or similar AI orchestration frameworks.
• Knowledge of cloud platforms such as AWS, Azure, or GCP and their AI services.
• Experience building and deploying scalable AI applications using Docker, Kubernetes, and CI/CD pipelines.
• Familiarity with REST APIs, microservices architecture, and software engineering best practices.
• Strong understanding of data structures, algorithms, and system design principles.
• Excellent problem-solving, communication, and stakeholder management skills.

Preferred Qualifications:

• Experience with AI agents, autonomous workflows, and multi-agent systems.
• Exposure to MLOps tools and frameworks.
• Experience in enterprise AI deployments and production-grade systems.
• Knowledge of model evaluation, AI governance, and responsible AI practices.
• Experience working with distributed teams and US-based clients.

What We Offer:

• Opportunity to work on cutting-edge AI and Generative AI initiatives.
• Exposure to global clients and challenging business problems.
• Collaborative and innovation-driven work environment.