
Anervea.ai delivers AI-powered platforms and advisory services to speed BioPharma commercialization. It combines real-time data, competitive intelligence, and predictive analytics to surface market…

Anervea.ai delivers AI-powered platforms and advisory services to speed BioPharma commercialization. It combines real-time data, competitive intelligence, and predictive analytics to surface market…
Your next opportunity is in here somewhere. Sign up to explore 70,000+ startups and their open roles. No spam. No gamification. Just jobs.
70,000+
Startups
83,000+
Open Roles
4,500+
New This Week
Location: Pune
Duration: 6 months Internship
Role Overview: As a Backend / AI Engineer Intern, you will collaborate with engineers and product teams on designing, developing, and integrating backend systems and AI workflows. You’ll get hands-on exposure to state-of-the-art APIs, data pipelines, and deployment practices. Mentorship and training will be provided as you contribute to core features and support live projects.
Key Responsibilities:
• Assist in developing backend services using Python and frameworks like FastAPI or Flask
• Support design of RESTful APIs for mobile, web, and internal platforms.
• Help build and maintain data aggregation pipelines & develop POC’s on Agentic AI
• Work with databases (PostgreSQL, MongoDB, or NoSQL) for data storage and retrieval
• Participate in implementing caching (Redis), and task queues (RabbitMq) for scalable systems
• Document code, troubleshoot issues, and participate in team meetings.
• Collaborate with Front end engineers to integrate backend Api’s into user flow.
• Learn and apply software best practices: code quality, QA, documentation, production readiness
Technical Skills Preferred:
• Academic/Project experience with Python programming
• Exposure to backend frameworks (FastAPI) and REST API principles
• Basic understanding of databases (PostgreSQL, MongoDB)
• Knowledge of version Control tools example GitHub, Bitbucket.
• Interest or coursework in AI/ML, prompt engineering, and Generative AI
• Bonus: experience with simple ML projects, LLM integrations, or analytics systems