Transformative AI Expert

2 days ago

Gurgaon, Haryana, India beBeeSolution Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Key Role in Shaping AI-Driven Solutions

Job Description:

As a seasoned AI Solution Architect, you will play a crucial part in designing, developing, and scaling next-generation GenAI-powered microservices.

This position involves architecting multi-agent systems, building retrieval-augmented generation pipelines, and deploying large-scale language model applications using Google Cloud services.

You will be responsible for shaping the architecture of AI-driven solutions while ensuring security, performance, and scalability.

Key Responsibilities:

  • API & Microservices Development: Design and implement robust asynchronous APIs using FastAPI for GenAI microservices, ensuring request routing, rate limiting, error tracking, and observability for production-grade systems.
  • Multi-Agent Orchestration: Architect multi-agent systems using LangGraph, CrewAI, or similar frameworks, implementing dynamic workflows with LangChain Expression Language (LCEL) and tool/function calling for complex task orchestration.
  • RAG & Knowledge Systems: Build retrieval-augmented generation pipelines with advanced chunking, metadata tagging, and vector search integration, working with vector databases such as FAISS, Pinecone, and GCP Matching Engine.
  • Caching & State Management: Develop session management layers and caching mechanisms using Redis (pub/sub, aioredis) to enable memory and persistence in real-time chat systems.
  • Cloud Deployment & LLM Optimization: Deploy and optimize LLM applications on Google Cloud Platform (Vertex AI, Cloud Run, Storage, IAM, Matching Engine), integrating embedding models from OpenAI, Cohere, and Gemini.
  • Security & Compliance: Implement API key management, JWT-based authentication, and audit logging, maintaining industry-standard security best practices across deployments.

Required Skills & Qualifications:

  • 5+ years of backend engineering experience in Python.
  • Strong expertise in FastAPI with async/await, background tasks, dependency injection, and exception handling.
  • Hands-on experience with LangChain, LangGraph, LCEL, and multi-agent systems.
  • Proficiency in Redis (pub/sub, async clients, caching layers) for conversation state and memory.
  • Strong knowledge of Google Cloud Platform (Vertex AI, Cloud Run, IAM, Storage, Matching Engine).
  • Familiarity with vector databases (FAISS, Pinecone, GCP Matching Engine) and embedding models (OpenAI, Cohere, Gemini).
  • Experience with tool/function calling, session tracking, and context management in LLMs.
  • Proficiency with Docker and building scalable microservice architectures.

Preferred Skills (Nice to Have):

  • Exposure to observability tools (Prometheus, Grafana, OpenTelemetry).
  • Familiarity with CI/CD pipelines and automated deployments.
  • Experience in fine-tuning or custom training of LLMs.
  • Knowledge of MLOps practices for AI/ML model lifecycle management.
Benefits and Opportunities

As an experienced AI Solution Architect, you will have the opportunity to shape the future of AI-driven solutions and work with cutting-edge technologies. You will be part of a dynamic team that values innovation and collaboration.

This role offers a chance to take on new challenges, develop your skills, and contribute to the growth and success of the organization.

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