KollegeApply - AI/ML Engineer - Conversational AI

Key Responsibilities

• Design and implement LLM architectures and AI pipelines using tools like OpenAI, LangChain, Rasa, or custom stacks
• Build and fine-tune intelligent conversational agents and chatbots that handle complex, multi-turn queries
• Develop retrieval-augmented generation (RAG) systems using vector databases (Pinecone, ChromaDB, Weaviate, etc.)
• Integrate structured datasets and APIs into context-aware, data-grounded AI responses
• Write robust backend services using Node.js or Python, with clean, modular architecture
• Collaborate with design, product, and data teams to bring scalable AI-powered features to life
• Stay current with advancements in LLM research, embedding models, and agentic AI
  

Required Qualifications

• 3+ years of experience working as an AI/ML Engineer.
• M.Tech/M.S. in Artificial Intelligence, Machine Learning, Data Science, NLP, or a related specialization
• Strong experience in building and deploying LLM-powered applications or architectures
• Deep knowledge of LLM frameworks (OpenAI API, LangChain, Transformers, Hugging Face, etc.)
• Proficiency with Python or Node.js, REST APIs, and scalable system design
• Familiarity with vector stores and embedding pipelines (e.g., Pinecone, FAISS, ChromaDB)
• Bonus if you have a hands-on experience building production-grade AI chatbots or agents
• Bonus if you have an experience with cloud platforms (Render, Vercel, Railway, or Firebase)
• Preferred : Background from Tier-1 institutions (IITs, IISc, IIITs, NITs, etc.)
  

What We Offer

• Opportunity to lead AI innovation in a mission-driven, fast-growing product
• Hands-on experience with real-world NLP applications and next-gen chatbot systems
• Collaborative, remote-friendly team environment with ownership-driven roles
• Competitive compensation + performance-based incentives
• Work on meaningful AI solutions with direct user impact