TatvaCare - Artificial Intelligence Engineer - Data Modeling (4-8 yrs)

Role Overview :

- As an AI Engineer, this role will be responsible for designing, building, and maintaining scalable applications.

- Work on multi-modal technologies including voice and image recognition to solve for AI first use cases of HealthTech ecosystem and Enterprise Pharma.

- The engineer will work with modern frameworks such as Python along with hands- on expertise in Python, Prompt Engineering, and LLMs (OpenAI, Gemini and Claude).

- A strong emphasis is placed on integrating machine learning solutions into production environments, fine-tuning and deployment of Large Language Models (LLMs) to enhance application performance and user experience.

- The ideal candidate is highly adaptable, results-oriented, and comfortable operating across the stack and stepping into ambiguous problem spaces.

- This role requires not only strong technical proficiency, but also a proactive mindset, a willingness to take initiative beyond formal responsibilities, and a drive to deliver impactful, high-quality solutions.

Responsibilities :

- Responsible to lead the design, development, and deployment of LLM-powered features, including Retrieval-Augmented Generation (RAG) pipelines.

- Architect scalable solutions that integrate LLMs with custom data sources, vector databases, and retrieval systems to improve context-aware responses.

- Collaborate cross-functionally with product managers, ML engineers, data engineers, and backend/frontend teams to turn AI concepts into production-ready features.

- Manage the full development lifecycle from data preprocessing and prompt engineering to deployment and post-launch monitoring.

- Will be responsible for building and maintaining high quality test cases.

Requirement :

- Bachelors or masters in computer science or related fields.

- 4+ years of experience building scalable applications with extensive experience in research and development, especially in software-based solutions and products.

- Hands-on experience in training ML models and fine-tuning LLMs.

- Hands -on experience in Python, LangChain, LangGraph, MongoDB, Mem0

- Proficient in machine learning frameworks such as TensorFlow or PyTorch is preferred.

- Excited about leveraging LLMs to build intelligent, high-impact applications.

- Understanding of neural networks and deep learning concepts.

- Ability to learn and apply new technologies in a fast-paced environment.