AI Engineer

An ideal AI Engineer III has 6-10 years of experience building production AI systems, possesses deep software engineering and machine learning fundamentals, understands modern LLM architectures beyond API usage, has hands-on experience training or adapting models, and has successfully delivered scalable, reliable AI platforms from concept to production. They combine strong technical depth with ownership, architectural thinking, and the ability to mentor others while remaining highly hands-on.

Requirements:

• Must have 6 - 9 years of experience.
• Strong Python programming skills.
• Hands-on LLM development.
• Solid understanding of NLP fundamentals and Transformer architectures.
• Fine-tuning, model building and model-building experience.
• Strong computer science and machine learning fundamentals.
• Top Campuses (IITs, IISc, IIITs, BITS, top NITs).
• Should Have Advanced LLM Knowledge.
• Experience in AI infrastructure.

Evaluation and AI Quality:

• Could have published research or patents in AI/ML.
• Experience in open-source contributions and Kaggle/competitive ML achievements.
• Experience building foundation models.
• Reinforcement learning experience.
• Vision Language Models (VLMs).
• Speech AI and multimodal AI.
• Domain expertise in healthcare AI.
• Experience with knowledge graphs.
• Experience serving billion-token or high-scale inference workloads.