Location:
Mumbai, Maharashtra

Team:
Data Science

Job Requisition #:R264096

Date posted:May. 13, 2026

Job description:
About this role

Job Description:
This role is ideal for an engineer with 4+ years of experience who is eager to work at the intersection of software engineering and applied AI, and who has hands-on exposure to agentic workflows and LLM-powered systems. You will work closely with senior engineers and product partners to take AI solutions from proof-of-concept to production.

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




- Solid 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 expe

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