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Senior AI Engineer

Quantanite
Mumbai, IND
Full-time
Senior · 5+ years experience
Onsite
Discovered 1 weeks ago
awsazuregcplangchainpython

Full Job Posting

Key Responsibilities

  • End-to-End Development: Own the full AI lifecycle, from conceptual design and architectural planning to model training, evaluation, and production deployment.
  • Multi-Agent Systems: Architect and implement sophisticated multi-agent workflows and agentic systems using frameworks like LangChain, LlamaIndex, Langraph and OpenAI SDK to solve complex enterprise problems.
  • RAG & Model Optimization: Design robust Retrieval-Augmented Generation (RAG) pipelines using vector databases and execute precise fine-tuning of LLMs (e.g., GPT, Claude, LLaMA) using techniques like LoRA/QLoRA.
  • Deployment & MLOps: Ensure systems are production-ready, scalable, and secure. Implement effective monitoring, evaluation Technical Leadership: Mentor junior engineers, conduct code reviews, establish engineering best practices, and collaborate with cross-functional teams (Product, Data, DevOps) to deliver high-quality solutions.
  • Required Skills & Experience
  • frameworks (e.g., LangSmith, AgentOps), and technical guardrails to mitigate hallucinations and ensure compliance.
  • Experience: Minimum 5+ years of progressive, hands-on experience in AI/ML engineering, with a proven track record of delivering end-to-end enterprise-grade AI solutions.
  • GenAI Expertise: Deep understanding of transformer architectures, prompt engineering, and the Generative AI development lifecycle.
  • Framework Proficiency: Expert knowledge of Python and AI orchestration frameworks (LangChain, LlamaIndex).
  • System Architecture: Experience building, deploying, and maintaining high-availability APIs and scalable systems on major cloud platforms (AWS, Azure, or GCP).
  • Communication: Ability to articulate complex technical concepts and project statuses to both technical teams and executive stakeholders.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
  • Demonstrated experience in deploying AI solutions into production environments.
  • Minimum 5+ years of progressive, hands-on experience in AI/ML engineering, with a proven track record of delivering end-to-end enterprise-grade AI solutions.
  • GenAI Expertise: Deep understanding of transformer architectures, prompt engineering, and the Generative AI development lifecycle.
  • Framework Proficiency: Expert knowledge of Python and AI orchestration frameworks (LangChain, LlamaIndex).
  • System Architecture: Experience building, deploying, and maintaining high-availability APIs and scalable systems on major cloud platforms (AWS, Azure, or GCP).
  • Communication: Ability to articulate complex technical concepts and project statuses to both technical teams and executive stakeholders.

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