Gen AI Solution Architect

13 hours ago

Cochin, Kerala, India beBeeGenerativeAI Full time ₹ 12,00,000 - ₹ 16,00,000
Job Description

We seek an experienced Python architect to design and implement scalable AI solutions. The ideal candidate will have a strong foundation in backend engineering and recent production experience in Generative AI.

The successful applicant will be responsible for architecting and implementing Python-based microservices integrating GenAI capabilities, designing GenAI-powered solutions using Retrieval-Augmented Generation pipelines and LLM orchestration engines, and developing RESTful APIs and backend services using FastAPI/Flask integrated with OpenAI or open-source models.

Key responsibilities also include working with DevOps engineers to enable CI/CD, monitoring, and observability for GenAI pipelines, collaborating with ML engineers and data scientists to optimize GenAI system performance and scalability, leading design sessions, code reviews, and mentoring junior engineers on architectural best practices.

  • Architect and implement Python-based microservices integrating GenAI capabilities.
  • Design GenAI-powered solutions using Retrieval-Augmented Generation (RAG) pipelines and LLM orchestration engines.
  • Develop RESTful APIs and backend services using FastAPI/Flask integrated with OpenAI/Azure OpenAI or open-source models.
  • Work with DevOps engineers to enable CI/CD, monitoring, and observability for GenAI pipelines.
  • Collaborate with ML engineers and data scientists to optimize GenAI system performance and scalability.
  • Lead design sessions, code reviews, and mentor junior engineers on architectural best practices.
  • Implement agentic workflows using Semantic Kernel, LangGraph, or similar orchestration tools.
Required Skills and Qualifications
  • Expert-level Python development skills including experience with FastAPI, Flask, asyncio.
  • Strong understanding of microservices architecture and distributed systems.
  • Hands-on experience with GenAI tools: LangChain, LlamaIndex, Hugging Face Transformers.
  • Practical knowledge of deploying LLMs on cloud platforms (Azure OpenAI preferred).
  • Experience with REST API design and integration with external AI services.
  • Familiarity with vector databases like FAISS, Pinecone, or Weaviate.
  • DevOps practices: CI/CD with GitHub Actions, Docker, Kubernetes, Terraform.
  • Proven ability to design scalable, maintainable, and testable AI-driven applications.
Benefits

This role offers the opportunity to work at the forefront of AI technology, leveraging expertise in Generative AI to drive innovation and growth. The successful candidate will be part of a collaborative team, working closely with other experts in the field to develop cutting-edge solutions.

Others

Additional benefits of this position include opportunities for professional growth and development, participation in industry-leading projects, and contributions to the advancement of AI research and applications.

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