AI and Databricks

Role: AI Engineer (5+ Years’ Experience)

Location: Pune, Maharashtra

Working Hours: US EST Time Zone – 6:30 pm to 3:30 am IST

Experience Required: 5+ Years Relevant Experience

Notice Period: Immediate Joiners Preferred (Maximum 30 Days’ Notice Period)

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/ML 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 US-based stakeholders during EST working hours.

Key Responsibilities

• Design, develop, and deploy AI/ML 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, Artificial Intelligence, Data Science, or a related field.
• 5+ 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.
• Career growth opportunities in a rapidly evolving AI ecosystem.

Regards Vibha Patel

vibha.patel@quantumintegrators.com