AI & Data Engineer in India at Jobgether

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.

• 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.

• 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.

• 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.