Senior AI Engineer

Job Title: Senior AI Engineer 

Location: Delhi or Mohali, Chandigarh

Experience: 3 - 6 yrs 

Employment Type: Full-time 

Work Mode: Onsite

Overview:

Our client, is a fast-growing AI solutions company led by alumni from IITs and IIMs. 

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. 

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.

   

Must Have Skills:

• Computer Vision: Proficient in image classification, object detection, segmentation, and generation using PyTorch and pretrained models (e.g., YOLO, DETR, 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. Strong understanding of Transformer architecture and attention mechanisms. Proficient with Hugging Face tools.
• 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.

• 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.

   

Good to have 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.

• 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.

   

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.