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Senior AI Engineering

Pretium Partners
Bengaluru, IND
Full-time
Senior · 4–6 years experience
Hybrid
Discovered 6 days ago
pythonpytorchsnowflaketensorflow

Full Job Posting

Key Responsibilities

  • Advanced AI System Development
  • Design and develop production-grade AI applications using LLMs, Generative AI, and machine learning models.
  • Build and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases.
  • Develop AI agents and workflow automation systems for document intelligence, market analysis, and underwriting workflows.
  • Apply advanced AI techniques including prompt engineering, fine-tuning (LoRA, adapters), embedding strategies, and model benchmarking.
  • Evaluate models for accuracy, latency, robustness, and business impact.
  • Have full stack development experience to build products.
  • Backend & AI Infrastructure Engineering
  • Build scalable backend services and APIs (Python preferred).
  • Integrate AI models into production-ready applications.
  • Develop data ingestion, preprocessing, and feature engineering pipelines.
  • Ensure observability, logging, monitoring, and reliability of AI systems.
  • Optimize systems for performance and cost efficiency.
  • Model Lifecycle & MLOps
  • Implement model versioning and experiment tracking.
  • Build automated evaluation and validation pipelines.
  • Support continuous improvement via A/B testing and feedback loops.
  • Ensure AI practices including explainability and bias mitigation.
  • Cross-Functional Collaboration
  • Partner with product, data, and engineering teams to translate business requirements into scalable AI solutions.
  • Contribute to architecture discussions and code reviews.
  • Mentor junior engineers and promote AI engineering best practices.

Required Qualifications

  • 4–6 years of experience in AI/ML engineering or software engineering with strong AI exposure.
  • Strong proficiency in Python and modern ML frameworks (PyTorch, TensorFlow, or similar).
  • Hands-on experience with LLMs, Generative AI systems, RAG pipelines, and vector databases.
  • Experience deploying AI solutions in production environments.
  • Strong understanding of scalable system design and distributed systems fundamentals.
  • Experience building robust backend systems and APIs.

Preferred Qualifications

  • Experience fine-tuning open-source foundation models.
  • Experience building multi-agent AI systems.
  • Familiarity with full-stack AI product integration.
  • Experience working with Snowflake or modern cloud data warehouse platforms.
  • Experience shipping AI products at enterprise scale.
  • Background in real estate, fintech, or investment analytics (plus).

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