Senior AI Engineer

Hiring Hub; Delhi; On-site; INR 2,000,000 - 3,000,000; Full time

Benefits offered by this job

Competitive salary

Flexible work-life balance

Opportunities for continuous growth

Job summary

A leading AI solutions company in Delhi is seeking a skilled and passionate AI Engineer to architect and deploy intelligent systems. In this role, you will collaborate with top-tier data scientists and engineers, driving innovation and solving complex problems. The ideal candidate will have advanced skills in computer vision and generative AI, along with a solid foundation in programming and MLOps. Competitive salary and opportunities for growth are offered in a dynamic work environment.

Qualifications

• Proficient in image classification, object detection, segmentation, and generation using PyTorch.
• Hands-on with LangChain, LlamaIndex, and built agent-based systems.
• Expert in prompt design using few-shot, zero-shot, and CoT techniques.

Responsibilities

• Drive end-to-end project execution with a proactive mindset.
• Mentor team members and foster a high-performing environment.
• Collaborate cross-functionally to ensure seamless system integration.

Skills

Computer Vision

Generative AI & Open-Source LLMs

Retrieval-Augmented Generation (RAG)

Prompt Engineering

Programming & MLOps

Natural Language Processing (NLP)

Tools

Python

PyTorch

FastAPI

Docker

Git

Job description

Rs 2,000,000.00 - 3,000,000.00 (Indian Rupee)

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.

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.

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.