Senior AI Engineer
Experience : 3–5 years
Location : Chandigarh (On-site)
Type : Full-time
About Us
What You'll Do
- Design, develop, and deploy scalable AI and ML models for real-world applications (NLP, vision, multimodal, or generative systems).
- Build robust data pipelines, preprocessing systems, and model training infrastructure.
- Experiment with and fine-tune foundation models (e.g., OpenAI, Anthropic, Llama, Mistral, or custom architectures).
- Collaborate with software engineers and product teams to integrate AI capabilities into production systems.
- Contribute to R&D efforts — prototypes, model evaluation, and performance optimization.
- Stay on top of AI research trends and bring innovative ideas from papers to production.
What We're Looking For
Strong programming skills in Python and familiarity with ML frameworks (PyTorch, TensorFlow, JAX).Solid understanding of deep learning fundamentals — architectures, optimization, and evaluation.Experience with LLMs, diffusion models, or transformers (training, fine-tuning, or deployment).Knowledge of data engineering and MLOps (e.g., Airflow, MLflow, Hugging Face Hub, Weights & Biases).Hands-on with cloud or GPU-based environments (AWS, GCP, Azure, or local clusters).Passion for research-backed development — comfortable reading papers and experimenting.Bonus Points For
Experience with multimodal AI (vision + language, speech, etc.)Knowledge of retrieval-augmented generation (RAG) or vector databases (Pinecone, FAISS, Weaviate).Familiarity with LangChain, LlamaIndex, or custom LLM orchestration pipelines.Contributions to open-source AI frameworks or research publications.Background in mathematics, statistics, or reinforcement learning.Why Join Us
Tech Stack Snapshot
Python
C++ / RustCUDAPyTorch / JAXTransformersFast APILang ChainHugging FaceDockerAWS / GCPMLflowRayFAISSReact (for AI interfaces)Skills Required
Airflow, Jax, Cuda, Tensorflow, React, Pytorch, Gcp, Transformers, Azure, Python, Aws