AI & Data Engineer

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.