AI & Data Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI & Data Engineer based in India.

This role offers the opportunity to build the next generation of intelligent, agentic AI systems that can reason, retrieve information, and execute complex <workflows.You> will work at the intersection of generative AI, data engineering, and production software development.The position involves transforming structured and unstructured data into reliable, actionable intelligence for advanced AI <applications.You> will design and deploy RAG pipelines, AI agents, semantic search capabilities, and scalable data platforms.The environment combines experimentation with strong production engineering standards, including CI/CD and ML <observability.You> will collaborate on emerging AI technologies while contributing to systems designed for real-world enterprise use.This is a fully remote opportunity with significant scope for technical growth, innovation, and impact.

Accountabilities

Design, build, and deploy AI-driven applications and agentic systems capable of reasoning, information retrieval, and complex workflow execution.

Develop and optimize Retrieval-Augmented Generation (RAG) pipelines and AI agents using frameworks such as LangChain and LlamaIndex.

Work with large language models and transformer-based architectures, including GPT, Gemini, and Claude, applying advanced prompt engineering, fine-tuning, and context-window optimization techniques.

Build semantic search and vector-based retrieval layers using technologies such as PGVector, embedding models, and Google indexing capabilities.

Process and transform large-scale datasets using Python, Pandas, PySpark, or Scala to support AI and data-intensive applications.

Design high-performance SQL solutions and scalable data warehouse architectures using platforms such as Snowflake or Redshift.

Create dimensional data models optimized for low-latency AI consumption, scalability, and strong data quality.

Develop clean, maintainable, production-ready software supported by robust CI/CD practices and ML observability.

Explore advanced AI architectures, including multi-agent systems, multimodal applications, and long-context use cases.

Contribute to the deployment and scaling of AI workloads in cloud environments, with opportunities to work across AWS and Google AI ecosystems.

Requirements

• 5+ years of relevant professional experience in AI engineering, data engineering, machine learning, software engineering, or a closely related technical field.
• 2+ years of hands-on experience building and deploying AI-driven applications, with strong expertise in RAG pipelines and AI agents.
• Strong understanding of transformer architectures and practical experience working with modern LLMs such as GPT, Gemini, or Claude.
• Proven experience with advanced prompt engineering, model fine-tuning, context optimization, embeddings, and semantic search.
• Strong data engineering capabilities, including experience processing large datasets with Python, Pandas, PySpark, or Scala.
• Professional experience with Snowflake or Redshift and the ability to write advanced, performance-oriented SQL.
• Strong data modeling skills, particularly in designing dimensional models for high-quality, low-latency AI workloads.
• Experience writing clean, maintainable production code and implementing CI/CD and ML observability practices.
• A Bachelor's or Master's degree in Computer Science, Engineering, or a related discipline is preferred.
• Experience with multi-agent systems, AWS services such as Bedrock and Lambda, or Google Gemini for multimodal and long-context applications is highly desirable.
• Strong analytical, problem-solving, communication, and collaboration skills, with the ability to work independently in a remote environment.

Benefits

• Competitive annual compensation of ₹2,400,000–₹2,800,000.
• Comprehensive health insurance coverage.
• Employee wellness programs with a focus on mental health and overall well-being.
• Reward, recognition, and employee incentive programs.
• Generous leave provisions, including holiday, maternity, paternity, birthday, bereavement, and paid personal leave.
• Remote work opportunities and a strong focus on work-life balance.
• Access to professional growth, training, and learning opportunities.
• Immigration support programs for eligible employees interested in relocating to Canada.
• Equal opportunity work environment focused on employee development and inclusion.