AI Engineer Intern
AI & ML | Generative AI | Agentic AI | Cloud & Full-Stack
- Location
- Ahmedabad, Gujarat
- Work Mode
- Work From Office
- Duration
- 4–6 Months
- Experience
- Freshers / Recent Graduates
- Openings
- 2
About the Opportunity
Build intelligent, production-ready software for real-world business and industrial problems - across AI/ML, Generative AI, Agentic AI, cloud, APIs and full-stack development.
Logicrest Technologies Private Limited builds intelligent software and AI-powered solutions for real-world business and industrial use cases. Our engineers work across Artificial Intelligence, Machine Learning, Generative AI, Agentic AI, cloud computing, data engineering, APIs, automation and full-stack product development.
This internship is designed for students who want to build technology, not simply learn tools. Selected interns work closely with the CTO and gain exposure to the complete lifecycle of live projects - from understanding a problem and designing an approach to building, testing, deploying and improving a solution.
Understand the problem, design the system, build the components, integrate them, ship a working solution and explain the technical decisions behind it.
What You'll Be Doing
The work is intentionally cross-functional; a strong intern learns to connect the full system.
AI, ML & Data
Data preprocessing, feature engineering, model training and evaluation, regression/classification, anomaly detection, forecasting, inference pipelines and model APIs.
Generative & Agentic AI
LLM APIs, prompt engineering, structured outputs, RAG, embeddings, vector search, tool/function calling, orchestration, agent workflows and AI assistants.
Full-Stack & Integrations
React.js and JavaScript/TypeScript interfaces, Node.js/Express APIs, Python services (FastAPI/Flask), dashboards, REST/JSON integration, WebSockets and third-party systems.
Cloud, Data & Delivery
SQL/NoSQL data stores, AWS and GCP fundamentals, Docker, environment management, cloud deployment, monitoring, CI/CD and production-oriented debugging.
Key Responsibilities
Interns contribute to real work under technical guidance - and grow toward independent ownership.
- Understand project requirements and research technically sound approaches.
- Build AI/ML models, GenAI applications, agent workflows and supporting APIs.
- Develop frontend interfaces, dashboards and backend services where required.
- Connect databases, AI services and third-party systems into working applications.
- Test, debug and improve components with attention to reliability and maintainability.
- Support cloud deployment, monitoring, documentation and source-control practices.
- Participate in design discussions, prototypes and technical evaluations.
- Clearly communicate progress, trade-offs, constraints and next steps.
Who Can Apply?
Strong fundamentals, curiosity and ownership matter more than a long tool list.
- B.Tech / M.Tech
- B.E.
- BCA / MCA
- B.Sc / M.Sc
- Working foundations in Python, ML concepts, JavaScript/TypeScript, APIs, databases and Git; expertise in every tool is not expected.
- Comfort with researching unfamiliar technologies, reading documentation, experimenting and debugging independently.
- GitHub projects, deployed applications, hackathons or portfolios are valued - especially when you can clearly explain your own contribution.
What We're Looking For
We do not expect expertise in every item. We do expect the ability to build, validate and explain your work.
Core foundations
Python, programming logic, ML fundamentals, Git/GitHub, debugging, clean code and basic Linux.
Application development
JavaScript/TypeScript, React, Node.js/Express, REST APIs, JSON, authentication and database integration.
Valuable exposure
SQL/NoSQL, FastAPI/Flask, Docker, AWS/GCP, vector databases, LangChain/LangGraph, LlamaIndex, CI/CD or deployed projects.
Duration & Terms
This is a full-time, 4-6 month internship. Any full-time employment opportunity is based on performance, technical capability, ownership and organizational requirements. Terms are subject to the internship agreement and company policies.
How to Apply
Share your resume, your GitHub profile, and your LinkedIn or portfolio if you have one.
In the message box, add links to 2–3 of your best projects or demonstrations - and, if you like, tell us about the most technically challenging project you have built: what you personally built, and the hardest problem you solved.
Prefer email?
- info@logicrest.ai
- Subject
- AI Engineer Intern - [Candidate Name]