BigRio
Artificial Intelligence Engineer - Healthcare Domain
- Compensation
- Not disclosed
- Location
- Chennai
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Full time
- Experience
- 10+ years
- Category
- Not specified
- Posted
Skills
Full description
Generative AI Engineer (Backend & REST API Focus)Location : Chennai, India- Hybrid | Employment Type : Full TimeWhy This Role Is Unique
This is not just another AI role. Sixty percent of your work will focus on REST API design, microservices architecture, and enterprise-grade backend engineering, while the remaining 40% will let you push boundaries with Generative AI, LLMs, and advanced prompt engineering.
You will not just build modelsyou will build production-ready, AI-driven platforms for enterprise clients.
Key Responsibilities :
Backend & API Engineering (60% Focus) :
- Design and implement REST APIs and microservices for high-performance AI systems.
- Apply enterprise object-oriented programming best practices for secure, scalable backend services.
- Integrate AI-powered features with cloud-native architectures.
- Generative AI & LLM Development (40% Focus)
- Build LLM-powered features with the OpenAI API or other LLM APIs (reasoning and non-reasoning models, temperature tuning, version control).
- Implement retrieval-augmented generation (RAG).
- Apply advanced prompt engineering and model tuning techniques for optimized results.
- Deploy and manage solutions using Docker and secure integrations (e.g., SSO, Google Drive).
What Were Looking For :
- 10+ years of backend engineering experience (REST APIs, microservices, OO enterprise architecture).
- 3+ years of experience building AI/ML solutions (LLMs, RAG, OpenAI API).
- Strong hands-on Python expertise and object-oriented design patterns.
- Hands-on experience with Langchain, Lambda, Docker, and secure system integrations.
- Proven track record delivering production-ready, scalable applications.
Nice-to-Have Skills :
- MLOps, vector databases, or additional AI frameworks.
- Cloud-native deployment experience (AWS, Azure, or GCP).
- Previous experience in healthcare or regulated environments.