Lead Python - Noida - Successive Digital

    Successive Digital
    Successive Digital Noida

    14 hours ago

    ₹1,800,000 - ₹4,200,000 (INR) per year * Technology / Internet
    Description

    Role Overview:

    We are looking for a Lead Python & AI Engineer with strong expertise in Python backend development and hands-on experience in AI/ML and Generative AI systems. The ideal candidate will lead AI-driven product development, design scalable architectures, work directly with clients, and build production-ready AI solutions using LLMs, RAG, and modern cloud-native technologies.

    You will play a key role in taking AI use cases from POC to enterprise-scale deployment.

    Key Responsibilities

    • Lead the design and development of AI-powered applications using Python.
    • Architect and implement LLM-based systems (RAG, AI agents, prompt orchestration, vector search).
    • Develop scalable backend services using FastAPI/Django.
    • Integrate foundational models (OpenAI, Azure OpenAI, open-source LLMs).
    • Design and implement data pipelines for AI workflows.
    • Build and manage vector databases (Pinecone, Weaviate, FAISS, Azure AI Search, etc.).
    • Optimize prompts, evaluate model performance, and implement guardrails.
    • Lead client discussions for AI solutioning and technical architecture.
    • Mentor junior engineers and establish AI engineering best practices.
    • Deploy AI workloads on AWS/Azure/GCP using containerized environments (Docker/Kubernetes).
    • Ensure security, governance, and scalability of AI systems.

    Required Skills

    1.Core Python & Backend

    • Strong expertise in Python
    • Hands-on experience with FastAPI or Django
    • REST API development & microservices architecture
    • SQL/NoSQL databases (PostgreSQL, MongoDB, Redis)

    2.AI / ML / Generative AI (3–4+ Years )

    • Experience building AI/ML-based production systems
    • Hands-on experience with:
    • LLMs (OpenAI, Azure OpenAI, HuggingFace, etc.)
    • RAG (Retrieval Augmented Generation)
    • Prompt engineering & evaluation
    • Embeddings & vector search
    • Experience with AI orchestration frameworks:
    • LangChain / LlamaIndex / Semantic Kernel (any)
    • Understanding of:
    • Model evaluation
    • AI observability
    • Token optimization
    • Responsible AI principles

    3.Cloud & DevOps

    • Experience deploying applications on AWS / Azure / GCP
    • Containerization (Docker)
    • Kubernetes (preferred)
    • CI/CD pipelines
    • Experience with private networking, secure API integration (good to have)

    Good-to-Have Skills

    • Experience building AI agents / multi-agent systems
    • Experience with MLOps tools
    • Exposure to data engineering pipelines
    • Experience with streaming systems (Kafka, Pub/Sub)
    • Frontend familiarity (React/JS) for AI dashboards
    • Experience working in client-facing roles
    * This salary range is an estimation made by beBee
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