03-08-2026

Job_337

Bangalore, Karnataka, India

Job Description

About the Role

We are looking for a passionate AI Engineer with 3–7 years of experience to design, build, and deploy AI-powered systems. The ideal candidate should have hands-on experience with Retrieval-Augmented Generation (RAG), Agentic AI frameworks, and multi-agent systems, along with solid backend engineering expertise.

You will work on building intelligent applications that leverage LLMs, autonomous agents, and scalable infrastructure to deliver production-grade AI solutions.

Key Responsibilities

- Design and implement AI-powered applications using LLMs and modern AI frameworks
- Build and optimize Retrieval-Augmented Generation (RAG) pipelines
- Develop and orchestrate Agentic AI workflows and multi-agent systems
- Integrate LLMs with backend services, APIs, databases, and vector stores
- Develop scalable backend systems
- Optimize prompts, system design, and inference pipelines for performance and cost
- Deploy AI solutions to production environments (cloud-native preferred)
- Monitor, evaluate, and improve AI system performance
- Collaborate cross-functionally with product, design, and engineering teams

Required Skills & Qualifications

- 2–7 years of software engineering experience
- Strong proficiency in Python (preferred) or Node.js/TypeScript
- Hands-on experience with:
- Retrieval-Augmented Generation (RAG)
- Vector databases (e.g., Pinecone, Weaviate, FAISS, Milvus)




- Agent frameworks (LangChain, LlamaIndex, AutoGen, CrewAI, etc.)
- Multi-agent orchestration systems

- Experience integrating and working with LLM APIs (OpenAI, Anthropic, open-source models)
- Solid backend experience (FastAPI, Django, Express, microservices)
OR
Strong frontend experience (React, Next.js, AI-integrated UX systems)
- Understanding of embeddings, prompt engineering, evaluation techniques
- Experience deploying applications on AWS/GCP/Azure. AWS prefered
- Good understanding of system design and scalable architectures

Good to Have

- Experience building or integrating Voice AI stacks
- Speech-to-Text (Whisper, Deepgram, etc.)
- Text-to-Speech (ElevenLabs, Azure TTS, etc.)
- Real-time streaming pipelines
- Conversational voice agents

- Experience fine-tuning or working with open-source LLMs
- Experience with monitoring LLM performance and guardrails
- Knowledge of CI/CD and DevOps practices
- Experience building AI products in production environments

What We’re Looking For

- Strong problem-solving and system-thinking mindset
- Ability to rapidly prototype and iterate AI solutions
- Product-oriented thinking
- Ownership mindset and ability to work in fast-paced environments

Job Snapshot

Updated Date

03-08-2026

Job ID

Job_337

Sub-Division

Invorto

Location

Bangalore, Karnataka, India

Experience

4 - 6 Years

Employee Type

Full Time

Employee Sub Type

Full Time

📌 Lead AI Engineer (India)
🏢 LeadSquared
📍 India