Associate, DataX

blackrock

Mumbai, India 4 Years Exp Posted 31d ago

Job Description

Key Responsibilities

  • Contribute to the design and implementation of multi-agent workflows using frameworks such as LangGraph

  • Participate hands-on across the AI application lifecycle, from POC to MVP to production, including data pipelines and backend integration

  • Implement and maintain evaluation and testing frameworks to assess agent behavior, reliability, and decision quality 

  • Support the integration of LLMs into core business products, with attention to performance, availability, and latency 

  • Collaborate with cross-functional teams (product, platform, data) to deliver scalable AI solutions aligned with business needs

Technical Requirements

  • Strong proficiency in Python and familiarity with production-grade software engineering practices (CI/CD, unit testing, prompt testing)

  • Hands-on experience building stateful, multi-step AI systems using agentic orchestration frameworks such as LangGraph

  • Solid understanding of NLP fundamentals (tokenization, embeddings, semantic search) and applied data science concepts (data preprocessing, experimentation)

  • Experience working with graph data structures and libraries (e.g., NetworkX) to model complex relationships

  • Working knowledge of RAG architectures and vector databases

  • Basic understanding of Transformer architectures and exposure to fine-tuning or adapting language models

  • Familiarity with AI/ML frameworks such as PyTorch or TensorFlow, and exposure to Kubernetes or containerized deployments is a plus

Skills and Experience

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics or other quantitative fields

  • 4+ years of work experience building and deploying engineering or AI / ML systems end to end, including 6-12 months of hands-on experience in deploying LLM-based workflows (development, integration or experimentation  

  • Strong written and oral communications skills, with ability to explain technical concepts clearly

  • Ability to manage tasks across multiple priorities and deliver high-quality components within larger projects, under guidance from senior engineers

  • Curiosity and motivation to stay current with developments in generative AI and open-source language models

    • Exposure to private markets or asset management is a plus but not required