1 month ago
Gurgaon, IndiaMid Level / Senior
Responsibilities
- Design, develop, and deploy Generative AI applications using LLMs and GPT-based or open-source models.
- Build and optimize prompt engineering, RAG, and fine-tuning pipelines.
- Integrate Generative AI models into production systems using APIs, microservices, and cloud platforms.
- Evaluate model performance, mitigate hallucinations, and improve accuracy, safety, and latency.
- Implement monitoring, logging, and feedback loops for continuous model improvement.
- Collaborate with product managers, data scientists, and backend engineers to translate business needs into AI-driven solutions.
- Follow security, privacy, and responsible AI guidelines and stay current with emerging Generative AI frameworks and practices.
Requirements
- Requires 4–6 years of overall software engineering or ML experience.
- Requires 2 or more years of hands-on experience with Generative AI, LLMs, or applied NLP.
- Strong Python programming skills are required; JavaScript or TypeScript experience is a plus.
- Experience with LLM APIs and frameworks such as OpenAI-compatible APIs, LangChain, and LlamaIndex.
- Experience with prompt engineering, RAG architectures, vector databases, LangGraph, and FastAPI.
- Experience deploying ML or AI solutions in AWS, Azure, or GCP cloud environments.
- Understanding of data structures, APIs, system design, embeddings, transformers, and tokenization.
- Familiarity with MLOps practices including model versioning and monitoring.
- Ability to write clean, maintainable, and testable code.
Tech Stack
Categories
About EXL
EXL provides data analytics, AI, and digital operations services for enterprises in insurance, healthcare, banking, and other regulated industries. It delivers consulting, managed services, and technology platforms to improve decision-making, risk management, and operational efficiency. Founded in 1999 and headquartered in New York, EXL is a public company listed on the NASDAQ (ticker: EXLS).