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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