AI/ML Engineer

EXL Talent Acquisition Team

Dadri

On-site

INR 900,000 - 1,500,000

Full time

14 days+

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Job summary

EXL Talent Acquisition Team is seeking a skilled AI engineer in Uttar Pradesh to build production-ready AI applications using Python and FastAPI, and to design end-to-end LLM pipelines.

You will leverage Vertex AI, Cloud Run/Functions, BigQuery, and Cloud Storage, apply advanced prompt engineering, and implement vector stores for semantic search. The role emphasizes CI/CD practices and staying ahead with new AI technologies.

Qualifications

  • Responsibilities center on building production AI apps, LLM pipelines, and enterprise integrations.

Responsibilities

  • Build production-ready AI applications using Python and FastAPI.
  • Design LLM pipelines including data ingestion, inference, and response generation.
  • Leverage GCP tools like Vertex AI, Cloud Run/Functions, BigQuery, and Cloud Storage.
  • Apply advanced prompt engineering techniques to enhance LLM outputs.
  • Implement vector stores and embeddings for semantic search and RAG.
  • Use orchestration frameworks (e.g., LangChain, LangGraph, CrewAI) for complex workflows.
  • Integrate AI systems with enterprise platforms and maintain robust data flows.
  • Follow best practices in coding, testing, and deployment within CI/CD pipelines.
  • Continuously explore and recommend emerging tools and AI technologies.

Job description

  • 1. Build production-ready AI applications using Python and FastAPI.
  • 2. Design LLM pipelines including data ingestion, inference, and response generation.
  • 3. Leverage GCP tools like Vertex AI, Cloud Run/Functions, BigQuery, and Cloud Storage.
  • 4. Apply advanced prompt engineering techniques to enhance LLM outputs.
  • 5. Implement vector stores and embeddings for semantic search and RAG.
  • 6. Use orchestration frameworks (e.g., LangChain, LangGraph, CrewAI) for complex workflows.
  • 7. Integrate AI systems with enterprise platforms and maintain robust data flows.
  • 8. Follow best practices in coding, testing, and deployment within CI/CD pipelines.
  • 9. Continuously explore and recommend emerging tools and AI technologies.
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