Lead AI Engineer

Job Title: Lead AI Engineer
Experience: 5-8yrs
Employment Type: Full-time
Overview:
Infutrix Technologies, is a fast-growing AI solutions company led by alumni from IITs and IIMs. We specialize in building bespoke AI applications that transform complex challenges into scalable opportunities. Join us as we redefine what's possible - one intelligent solution at a time. We're on the lookout for a skilled and passionate AI Engineer ready to push boundaries. In this role, you'll architect, develop, and deploy intelligent systems across diverse domains. You'll work closely with top-tier data scientists, engineers, and product innovators to turn complex challenges into actionable insights using vast datasets and cutting-edge tools. If you're eager to make a real-world impact and thrive in a dynamic, future-focused environment — this is your moment to shine. Join us and help build an intelligent future.
Key Responsibilities:
● Drive end-to-end project execution with a proactive, ownership-driven mindset.
● Mentor team members and foster a collaborative, high-performing environment.
● Work closely with key stakeholders to identify opportunities for innovation and deliver business value.
● Stay up to date with generative AI and LLM advancements, sharing insights to guide strategy.
● Build and maintain tools, libraries, and frameworks to support scalable AI development.
● Collaborate cross-functionally to align goals, contribute to roadmaps, and ensure seamless system integration.
● Apply strong problem-solving and communication skills to drive impactful outcomes.
Skills:
● Natural Language Processing (NLP): Skilled in text preprocessing, tokenization, embeddings, and sentiment analysis. Experienced with core NLP tasks including classification, summarization, translation, and QA. Strong understanding of Transformer architecture and attention mechanisms. Proficient with Hugging Face tools.
● Computer Vision: Proficient in image classification, object detection, segmentation, and generation using PyTorch and pretrained models (e.g., YOLO, CLIP).
● Generative AI & Open-Source LLMs: Hands-on with LangChain, LlamaIndex, PEFT, quantization, RLHF, and vector-based reasoning. Built agent-based systems and multimodal pipelines using open-source models.
● Retrieval-Augmented Generation (RAG): Deep experience in RAG pipelines using dense/sparse retrieval. Integrated LLMs with vector databases (e.g., ChromaDB, PGVector) for context-aware generation and semantic search.
● Prompt Engineering: Expert in prompt design using few-shot, zero-shot, CoT, ToT, and ReAct techniques. Skilled in optimizing prompts for specific outcomes and enhancing LLM reasoning.
● Data Engineering: Built scalable search systems using Elasticsearch, AI search, ChromaDB, PGVector. Experience with end-to-end data pipelines for large-scale model training and inference.
● Programming & MLOps: Proficient in Python, PyTorch, FastAPI, Docker, and Git. Experience deploying models via REST APIs across AWS, GCP, and Azure.
● ML & DL: Strong grasp of supervised, unsupervised, and deep learning (LSTMs, RNNs, CNNs). Proficient in loss functions and regularization techniques to mitigate overfitting and improve generalization. Why Join Us?
● Join a passionate team pushing the boundaries of AI and machine learning on breakthrough projects that matter.
● Fuel your curiosity with endless opportunities for innovation, hands-on research, and continuous growth.
● Enjoy a competitive salary, flexible work-life balance, and a clear path to advance your career—all in an environment that values bold ideas and real impact.

Work arrangement
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