AI Engineer Intern

Feelpixel’s interview process typically starts with a timed online aptitude and coding assessment, followed by a technical interview focusing on AI concepts, project experience, and hands‑on coding in Python. The final HR round evaluates cultural fit, communication skills, and internship logistics. Candidates should be comfortable discussing LLM integration, RAG pipelines, and prompt engineering, and be ready to solve moderate‑difficulty coding problems.

Feelpixel fosters a vibrant, learning‑centric culture where engineers are encouraged to experiment and iterate quickly. The company offers flexible working hours, regular knowledge‑sharing sessions, and a clear path for career growth, ensuring a healthy work‑life balance while delivering high‑impact AI solutions.

Graduated B.Tech/M.Tech/BS in Computer Science, Information Technology, Electronics & Communication or related fields; minimum CGPA 6.5/10 (or 70%); no active backlogs; batch year 2023‑2025 preferred; strong interest in AI/ML and willingness to work onsite in Pune.

Round 1: Online aptitude & coding test → Round 2: Technical interview (AI concepts, projects, coding) → Round 3: HR interview (fit, availability, expectations)

Feelpixel is a fast‑growing product design and development studio based in Pune, known for creating AI‑driven experiences that blend creativity with cutting‑edge technology. Since its inception, the company has helped startups and mid‑size enterprises build intelligent chatbots, recommendation engines, and workflow automation tools that improve user engagement and operational efficiency. The team culture emphasizes curiosity, rapid prototyping, and a collaborative environment where engineers, designers, and product managers work side‑by‑side to turn ideas into market‑ready solutions. The AI Engineer Intern role is crafted for fresh graduates or final‑year students who are passionate about building practical AI applications. As an intern, you will be immersed in real‑world projects that span from AI‑powered dashboards to voice and image prototypes. You will get hands‑on exposure to the entire lifecycle of an AI product – from problem definition, data collection, model training, to deployment and monitoring. The internship lasts for six months, offering a stipend and the possibility of a full‑time offer based on performance. Key Responsibilities: 1. Design, develop, and fine‑tune conversational AI chatbots using large language models. 2. Build end‑to‑end workflow automation pipelines that integrate AI inference with business logic. 3. Create AI‑enhanced dashboards that visualize model performance and business metrics. 4. Develop prototype applications for image and voice recognition using pre‑trained models. 5. Implement Retrieval‑Augmented Generation (RAG) pipelines with vector databases for knowledge‑base querying. 6. Write clean, modular code in Python and integrate it with LangChain, LangGraph, or CrewAI frameworks. 7. Containerize AI services using Docker and orchestrate them with N8N or similar tools. 8. Collaborate with UI/UX designers, translate Figma designs into functional front‑end components, and ensure seamless AI‑backend integration. 9. Conduct experiments, log results, and iterate on model improvements. 10. Document technical decisions, write unit tests, and participate in code reviews. Tech Stack: Python, PyTorch, TensorFlow, Hugging Face Transformers, LangChain, LangGraph, CrewAI, OpenAI SDK, Claude API, Docker, N8N, Visual Studio Code, Figma, vector databases (e.g., Pinecone, Milvus). Growth Path: Successful interns may transition to full‑time AI Engineer positions, gaining exposure to product ownership, leading small AI teams, and contributing to the company’s R&D roadmap. Feelpixel encourages continuous learning through internal hackathons, mentorship programs, and sponsorship for relevant certifications. Why Join Feelpixel? You will work on impactful AI products that reach real users, learn from seasoned engineers who have built production‑grade AI pipelines, and enjoy a culture that rewards curiosity and innovation. The internship provides a solid foundation for a career in AI engineering, with the added benefit of potential long‑term employment.