Artificial Intelligence Engineer

Department Icon Data Science Analytics & Machine Learning
Posted: 1 month ago
0-1 years
Hyderabad / Secunderabad, Telangana, Telangana
Data Science Analytics & Machine Learning
work from office
Full Time
Closes 23 Oct 2026

Posted: 1 month ago
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Job Description

Must have:

Programming Languages

  • Python (Mandatory)
  • JavaScript/TypeScript (Preferred)
  • Database [Vector DB & Redis]

Backend Development

• Fast API

• Django

• REST APIs

• WebSockets

• Async Programming (Asencio)

  • 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
  • We aviate
  • Qanat
  • Milvus

AI Libraries & Frameworks

Strong experience with:

  • OpenAI SDK
  • Lang Chain
  • Llama Index
  • Hugging Face Transformers
  • Sentence Transformers
  • Pedantic 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

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.

Skills

PythonPrompt EngineeringLarge Language ModelsDjangoAiArtificial Intelligence

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About Company

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