Blu Parrot
Website:
bluparrot.in
Job details:
Job Title: AI Engineer – Full-Time (On-Site)
Company: Blu Parrot Ventures
Location: Gurugram, Haryana, India
Employment Type: Full-Time, Office-Based
Experience Level: 3-5 years (mandatory – freshers or candidates with significantly less/more experience need not apply)
Joining: Immediate / Within 0-5 days (immediate joiners will be strongly preferred and fast-tracked)
About Blu Parrot
Blu Parrot Ventures is an innovative, award-winning AI company (recognized as 'AI Company of the Year 2025' at the India CISO Summit & Awards) specializing in Data Science, Artificial Intelligence, Generative AI solutions, digital transformation, and cutting-edge products like Talkie AI (an intelligent voice agent platform). We're a fast-growing, bootstrapped enterprise tech firm delivering impactful AI solutions globally, with a strong focus on offline-capable and production-grade AI deployments. Join us to build next-gen AI products in a dynamic, high-ownership environment!
About the Role
We're hiring an AI Engineer for a full-time, on-site position at our Sector 44 office in Gurugram. This long-term role focuses on developing one of our most innovative AI-driven products using Large Language Models (LLMs) and advanced Generative AI. Ideal for someone with 1.5–2 years of solid experience who has a strong "Can-Do" attitude and loves tackling complex, real-world AI challenges.
Key Responsibilities
- Develop and deploy high-performance AI/LLM solutions, with emphasis on offline/edge deployments.
- Build and optimize offline AI applications and ensure reliable offline LLM inference.
- Design scalable LLM architectures, implement token-by-token generation, and maintain zero token loss in processing.
- Optimize RAG pipelines using Hybrid RAG, Graph-based RAG, advanced chunking, query rewriting, retrieval tuning, and LLM fine-tuning.
- Reduce hallucinations, enhance factual accuracy, and implement robust mitigation strategies for production reliability.
- Collaborate on integrating AI features into live products and contribute to end-to-end innovation.
Must-Have Requirements
- 1.5 to 2 years of hands-on experience in AI/ML engineering (strictly required – we need proven production-level exposure).
- Strong expertise in Natural Language Processing (NLP) and Generative AI.
- Practical experience with offline deployment of LLMs and building offline AI applications (non-negotiable).
- Deep familiarity with:
- Designing/scaling LLM architectures.
- Token-by-token implementation and zero-loss processing.
- Advanced RAG optimization (Hybrid/Graph RAG, chunking strategies, query rewrite, retrieval enhancement, fine-tuning).
- Hallucination reduction and accuracy improvement techniques.
- Proficiency in Python, Hugging Face Transformers, PyTorch, LangChain/LlamaIndex, and model optimization/quantization tools.
- Ability to deliver clean, production-ready code independently.
Preferred (Nice-to-Have)
- Experience with edge inference (ONNX, TensorRT, local serving).
- Exposure to voice AI, multi-modal models, or agentic systems.
- Prior work in startups or fast-paced AI product teams.
Click on Apply to know more.