E
EXL
Senior Manager - C2
Skills
MicroservicesAI
3 months ago
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Important information
Contract type:
Permanent
Location:
Gurugram, Haryana, India
Work mode:
Onsite
Published on:
10 August 2026
What they need
Key Responsibilities
- Design, develop, and deploy Generative AI applications using state-of-the-art LLMs.
- Build and optimize RAG pipelines leveraging vector databases and enterprise knowledge sources.
- Develop prompt engineering strategies and evaluate model performance.
- Fine-tune, customize, and optimize foundation models for domain-specific use cases.
- Integrate AI solutions with cloud platforms and enterprise systems through APIs and microservices.
- Implement AI observability, monitoring, and evaluation frameworks.
- Develop scalable and production-ready AI applications following MLOps best practices.
- Conduct experimentation and benchmarking of LLMs, embeddings, and retrieval techniques.
- Collaborate with cross-functional teams to gather requirements and translate business problems into AI solutions.
- Stay updated on advancements in Generative AI, LLMs, agents, and multimodal AI technologies.
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