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    Job · 11771068

    HYDERABAD · FULLTIME

    Lead AI Engineer

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    Hyderabad · onsite · Posted 67d ago

    Sourced fromFoundit
    Not disclosedFresherfulltimeHyderabad

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    Section · 01

    About this role

    Roles & Responsibilities

    • Design and develop AI-powered enterprise applications using LLMs.

    • Build Voice AI solutions for real-time conversational systems.

    • Develop AI Agents capable of reasoning, planning, and tool execution.

    • Design and implement RAG pipelines using vector databases.

    • Integrate AI services with REST APIs, WebSockets, SIP, and enterprise systems.

    • Develop scalable Python microservices.

    • Optimize AI applications for latency, cost, and accuracy.

    • Build reusable AI workflows and tool-calling frameworks.

    • Collaborate with Product, QA, and DevOps teams.

    • Evaluate and integrate emerging AI technologies.

    Must have

    Programming Languages

    • Python (Mandatory)

    • JavaScript/TypeScript (Preferred)

    • Database [Vector DB & Redis]

    Backend Development

    • FastAPI

    • Django

    • REST APIs

    • WebSockets

    • Async Programming (asyncio)

    • Microservices

    • Redis

    1. Large Language Models (LLMs)

    Must have experience with:

    • OpenAI APIs (Chat Completions / Responses API)

    • GPT-4o / GPT-5 or equivalent LLMs

    • Claude

    • Gemini (Preferred)

    Good understanding of:

    • Prompt Engineering

    • Function Calling / Tool Calling

    • Structured Outputs

    • JSON Schema

    • Context Window Management

    • Token Optimization

    • AI Safety

    • Model Evaluation

    2. Voice AI

    Hands-on experience with:

    • Speech-to-Text (STT)

    • Text-to-Speech (TTS)

    • OpenAI Realtime API

    • Streaming Audio

    • Voice Activity Detection (VAD)

    • Realtime WebSocket APIs

    3. Retrieval-Augmented Generation (RAG)

    Experience with:

    • Embeddings

    • Vector Databases

    Preferred databases:

    • Redis Vector Search

    • Pinecone

    • Weaviate

    • Qdrant

    • Milvus

    AI Libraries & Frameworks

    Strong experience with:

    • OpenAI SDK

    • LangChain

    • LlamaIndex

    • Hugging Face Transformers

    • Sentence Transformers

    • Pydantic AI

    Preferred Domain Experience

    • Conversational AI

    • Voice AI

    • AI Assistants

    • Customer Support Automation

    • Workflow Automation

    Good to have

    • MCP (Model Context Protocol)

    • AI Guardrails

    • Prompt Versioning

    • Cost Optimization

    • AI Evaluation Frameworks

    Sourced from foundit

    Section · 02

    Skills

    Retrieval Augmented GenerationWebSocketclaudeasync programmingredisDjango FrameworkEmbeddingsGPT-4Hugging Face TransformersOpenAI APIsPydanticText-to-SpeechOpenAI SDKstreaming audioGPT-5Speech to textPythonREST APIMicroservicesLangchainLlamaindexFastAPIsentence-transformersOpenAI Realtime APIVoice activity detection

    Lead AI Engineer · waiting for your command