Lead AI Engineer Pandora R&D Lab.

Job Title / Role Lead AI Engineer

Type of Employment (Full

time/Contract/Contract to hire) Ful time

Years of Experience Required (Min-Max) 5 - 8 years

No. of Positions 2

CTC in INR 15- 24 LPA

Bounty

Highest Qualification Required Any Graduation

Work Location Hyderebad

Mode of Work (Remote/On-site/Hybrid) 5 Days WFO, [ Sunday & Monday weekoff]

Notice Period/ Start Date Flexibility 0 - 15 Days

On-site feasibility (work abroad) N/A

Interview Rounds

L1 - Technical Coding Assesmet

L2 - Technical [F2F]

L3 -techno Managrial

HR

Interview Panel Time slots 11 AM to 6 PM

Office Time 10 AM to 7 PM

Weekend Drives Yes

Salaries paid on Last working day of the month

Must/Good to Have Details

Must have

Only Male candidates are preffred for this role

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

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.