Software Engineering Role AI

Candidates typically face a multi‑stage interview process. The first stage is an online technical assessment focusing on aptitude, coding, and basic AI concepts. Successful candidates move to a live coding challenge where they solve algorithmic problems on a shared editor. The third stage is a technical interview with senior engineers that dives deeper into system design, AI/ML fundamentals, and past projects. Finally, an HR interview assesses cultural fit, communication skills, and motivation. Preparation should include strong fundamentals in data structures, hands‑on practice with AI libraries, and clear articulation of project experiences.

Infinite fosters a collaborative and innovative work environment where continuous learning is encouraged. Employees benefit from regular training sessions, mentorship programs, and a balanced approach to work‑life integration, making it a supportive place for fresh graduates to grow.

Batch Eligible: 2026; Qualification: B.E./B.Tech; Eligible Branches: Computer Science & Engineering (CSE), Information Technology (IT), Artificial Intelligence & Machine Learning (AI & ML), Artificial Intelligence & Data Science (AI & DS), Computer & Communication Engineering (CCE), Electronics & Communication Engineering (ECE); Academic Requirement: Consistent 70% and above throughout academics; No backlogs allowed at the time of joining.

Round 1: Online Technical Assessment → Round 2: Live Coding Challenge → Round 3: Technical Interview with Senior Engineers → Round 4: HR Interview

Infinite is a global technology solutions provider with a strong focus on AI‑first product development and IT services. Headquartered in the United States and operating across multiple continents, Infinite has built a reputation for delivering end‑to‑end digital transformation projects for Fortune 500 clients in sectors such as manufacturing, finance, and logistics. The company’s culture emphasizes innovation, continuous learning, and a collaborative environment where engineers are encouraged to experiment with emerging technologies and contribute to open‑source initiatives. In the Software Engineering Role AI, fresh graduates will join a dynamic product team that builds intelligent software platforms for enterprise customers. The role offers hands‑on exposure to the full software lifecycle—from requirement gathering and system design to coding, testing, deployment, and post‑release monitoring. Working closely with senior engineers, data scientists, and product managers, the candidate will help translate business problems into scalable AI‑driven solutions. Key Responsibilities: 1. Design, develop, and maintain AI‑enabled backend services using Python, Java or C++. 2. Implement machine‑learning pipelines and integrate pre‑trained models into production APIs. 3. Write clean, modular, and well‑documented code following industry best practices. 4. Participate in Agile ceremonies, sprint planning, and daily stand‑ups. 5. Conduct unit testing, integration testing, and contribute to automated test suites. 6. Perform code reviews and provide constructive feedback to peers. 7. Troubleshoot performance bottlenecks and optimize algorithms for speed and memory usage. 8. Collaborate with data engineering teams to ensure data quality and pipeline reliability. 9. Maintain technical documentation, API specifications, and deployment guides. 10. Stay updated with the latest AI/ML research, tools, and frameworks, and propose innovative solutions. Tech Stack: Python, Java, C++, TensorFlow/PyTorch, Docker, Kubernetes, RESTful APIs, Git, Jenkins, Agile/Scrum. Growth Path: Starting as a Junior Software Engineer, high performers can progress to Senior Engineer, Lead Engineer, or specialize further as an AI/ML Engineer or Technical Architect. The company also offers mentorship programs, internal hackathons, and sponsorship for certifications to accelerate career growth. Why Join Infinite: The organization provides a vibrant learning ecosystem, exposure to real‑world AI projects, and a clear roadmap for professional advancement. Competitive compensation, a variable pay component, and a supportive work‑life balance make it an attractive launchpad for fresh talent eager to make an impact in the AI domain.