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Senior Artificial Intelligence Engineer

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Onsite

Senior Artificial Intelligence Engineer

ICE

Senior Artificial Intelligence Engineer

Skills

Google Cloud PlatformDockerFlaskPythonMachine LearningAIAWSFastAPIAzure

4 months ago

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Important information


Contract type:

Permanent

Location:

Chennai, Tamil Nadu, India

Work mode:

Onsite

Published on:

12 October 2026

What they need


Company: Maynor Consulting

Website: Visit Website

Business Type: Small/Medium Business

Company Type: Product & Service

Business Model: B2B

Funding Stage: Series A

Industry: Information Technology

Salary Range: ₹ 23-100 Lacs PA

Job Description Senior AI/GenAI Engineer (Python) | Chennai We're looking for a Senior AI/GenAI Engineer who is passionate about building production-ready Generative AI applications , not just prototypes. You'll work closely with founders, product teams, and US stakeholders to design, develop, and deploy scalable AI solutions that solve real-world business problems.

This is an individual contributor role with high ownership and the opportunity to shape the company's AI platform and engineering best practices.

Key Responsibilities

  • Design, develop, and deploy production-grade Generative AI applications.
  • Build and optimize Retrieval-Augmented Generation (RAG) pipelines using embeddings and vector databases.
  • Integrate and orchestrate LLMs such as OpenAI, Claude, Gemini, Llama, and other open-source models.
  • Develop scalable backend services using Python and modern API frameworks.
  • Design AI workflows with a focus on performance, reliability, scalability, and cost optimization.
  • Build document ingestion, embedding, semantic search, and AI retrieval pipelines.
  • Collaborate with product, engineering, and business teams to deliver AI-powered features for US customers.
  • Drive engineering best practices, architecture decisions, and code quality across AI initiatives.

Required Skills

  • 5–9 years of software engineering experience.

  • Hands-on experience building and deploying production AI/ML/Generative AI applications.

  • Strong understanding of:

  • Large Language Models (LLMs)

  • Retrieval-Augmented Generation (RAG)

  • Embeddings

  • Prompt Engineering & Prompt Orchestration

  • Agentic AI / AI Agents

  • Experience with GenAI frameworks such as:

  • LangChain

  • LangGraph

  • LlamaIndex

  • CrewAI / AutoGen (good to have)

  • Experience working with vector databases such as:

  • Pinecone

  • Weaviate

  • FAISS

  • ChromaDB

  • Qdrant

  • Strong backend development experience using:

  • Python

  • FastAPI / Flask

  • REST APIs

  • Async programming

  • Data pipelines

  • Experience with cloud platforms (AWS, Azure, or GCP).

  • Familiarity with Docker, CI/CD, and modern software development practices.

Preferred Experience

  • Production deployment of LLM-powered applications.
  • Experience building AI chatbots, copilots, document intelligence, or knowledge retrieval systems.
  • Exposure to multimodal AI, evaluation frameworks, and observability for AI systems.
  • Experience in startup or fast-paced product environments.

Why Join Us?

  • Build AI products used by enterprise customers in the US.
  • Work on cutting-edge technologies including LLMs, RAG, Agentic AI, and modern AI infrastructure.
  • High ownership with direct collaboration with founders and business stakeholders.
  • Opportunity to influence technical architecture and product direction.
  • Fast career progression toward Staff or Principal AI Engineer.
  • Be part of a collaborative, fast-moving engineering team where your ideas have real impact.

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