About the Role
We are looking for a highly skilled and innovative AI Engineer to design, develop, and deploy AI-powered applications using LLMs, LangChain/LangGraph, RAG architectures, AI agents, and workflow automation tools. The ideal candidate should have hands-on experience building AI chatbots, autonomous agents, voice AI systems, and scalable GenAI applications for real-world business use cases.
You will work closely with product, engineering, and business teams to create intelligent automation systems and conversational AI products.
Key Responsibilities
LLM & Generative AI Development
- Develop and deploy AI applications using Large Language Models (LLMs)
- Build advanced AI workflows using LangChain and LangGraph
- Design multi-agent AI systems and autonomous workflows
- Implement Retrieval-Augmented Generation (RAG) pipelines using vector databases
- Fine-tune prompts and optimize AI response quality
AI Chatbot & Agent Development
- Build AI chatbots for customer support, sales, HR, and internal automation
- Develop AI agents capable of executing tasks and tool calling
- Integrate APIs, databases, CRMs, and third-party systems with AI agents
- Build memory, context management, and conversation orchestration systems
AI Voice Development
- Develop voice-based AI assistants and conversational voice bots
- Integrate Speech-to-Text (STT) and Text-to-Speech (TTS) systems
- Work with real-time voice streaming and telephony integrations
- Implement multilingual AI voice capabilities
Automation & Workflow Engineering
- Automate business workflows using AI orchestration tools
- Build intelligent pipelines for document processing, data extraction, and task automation
- Integrate AI systems with platforms like WhatsApp, Slack, CRM, ERP, and web applications
- Optimize AI workflows for scalability, latency, and cost efficiency
Deployment & Infrastructure
- Deploy AI applications using cloud platforms and APIs
- Work with vector databases and embedding pipelines
- Monitor AI application performance and reliability
- Ensure data security, compliance, and responsible AI practices
Required SkillsCore Technical Skills
- Strong experience with Python
- Hands-on experience with:
- LangChain
- LangGraph
- OpenAI APIs
- Claude / Gemini / Llama models
- Strong understanding of:
- RAG architecture
- AI agents
- Prompt engineering
- Embeddings & vector search
- Function/tool calling
AI & Backend Technologies
- Experience with vector databases:
- Pinecone
- Weaviate
- ChromaDB
- FAISS
- Knowledge of:
- FastAPI / Flask
- REST APIs
- WebSockets
- Async programming
Voice AI Skills (Preferred)
- Experience with:
- Whisper
- ElevenLabs
- Deepgram
- Twilio
- LiveKit
- VAPI
- Retell AI
Cloud & DevOps
- Familiarity with AWS / Azure / GCP
- Docker and deployment pipelines
- Git/GitHub version control
Preferred Qualifications
- Bachelor’s degree in Computer Science, AI, IT, or related field
- Experience building production-grade AI applications
- Strong debugging and problem-solving skills
- Understanding of AI safety and hallucination mitigation
- Experience with MCP servers, workflow automation, and agent orchestration is a plus
Good to Have
- Experience with:
- n8n
- Make.com
- Zapier
- CrewAI
- AutoGen
- Open-source LLMs
- Knowledge of fine-tuning and model optimization
- Experience in AI SaaS product development
What We Offer
- Opportunity to work on cutting-edge AI products
- Fast-paced innovation-driven environment
- Exposure to advanced GenAI technologies
- Career growth in AI automation and agentic systems
- Collaborative and flexible work culture
Ideal Candidate Profile
The ideal candidate is passionate about Generative AI, enjoys building intelligent systems, and stays updated with the latest AI ecosystem trends. You should be comfortable experimenting with emerging AI frameworks and shipping scalable AI products quickly.
Pay: ₹40,000.00 - ₹60,000.00 per month
Education:
Experience:
- LLMs, LangChain/LangGraph, RAG: 2 years (Required)
- building AI chatbots, voice AI, GenAI: 2 years (Required)
Work Location: Remote
