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Sr AI Engineer(Customer Facing Role)

  • Source: Naukri
  • Yuva Consulting
  • Remote
  • India
  • Full-Time
  • Senior

Job Description

Were looking for an AI Engineer with 5+ years of experience who can build and deploy production-grade AI solutions and work directly with customers.

The ideal candidate combines strong Python/software engineering fundamentals, hands-on GenAI experience, and excellent communication skills.

What Youll Do

  • Work directly with customers to understand business problems and design AI solutions.
  • Build and deploy LLM, RAG and Agentic AI applications for enterprise use cases.
  • Develop intelligent agents using frameworks such as LangChain, LangGraph or CrewAI.
  • Build RAG pipelines using vector databases such as Pinecone, Weaviate or FAISS.
  • Develop scalable Python APIs and backend services.
  • Work with customer data and technical teams to integrate AI solutions into production.
  • Manage AI solutions end-to-end from data preparation and development to deployment, monitoring and optimization.
  • Collaborate with Engineering, Product and Solutions teams and provide customer-driven product feedback.
  • Follow best practices for code quality, scalability, performance and reliability.

What You Bring

  • 5+ years of hands-on experience in AI/ML engineering or software/backend engineering.
  • Strong Python skills and experience building scalable APIs/backend services.
  • Hands-on experience with LLMs, Generative AI, RAG and/or AI Agents.
  • Experience with LLM platforms such as GPT, Gemini or similar.
  • Hands-on experience with LangChain, LangGraph, CrewAI or similar agentic frameworks.
  • Experience with vector databases and retrieval systems.
  • Strong understanding of ML/Deep Learning and production AI systems.
  • Experience working directly with customers or enterprise stakeholders.
  • Excellent communication and presentation skills.
  • Ability to work independently, manage multiple priorities and operate comfortably in a fast-paced environment.

Good to Have

  • Experience with AWS, Azure or GCP.
  • MLOps/production AI experience.
  • Experience in AI startups, product companies or AI services environments.
  • Experience building customer-facing AI products.

Interested candidates can send your profiles at [email protected]

Skills

  • Python
  • LangChain
  • LangGraph
  • crewai
  • FAISS
  • Gemini
  • amazon-web-services
  • microsoft-azure
  • google-cloud-platform

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