Associate Software Engineer

Magnit's interview process typically starts with a timed online aptitude test covering quantitative, logical and verbal reasoning. Successful candidates move to a technical interview that focuses on data structures, algorithms, Python coding, and basic ML concepts, often followed by a discussion on LLMs or NLP projects. The final HR round assesses cultural fit, communication skills and motivation. Preparation on coding platforms and a solid grasp of ML fundamentals greatly improve chances.

Magnit promotes a collaborative and inclusive work environment where employees are encouraged to experiment and share knowledge. The company offers clear growth paths, regular learning sessions and a balanced work‑life schedule, making it a supportive place for fresh talent.

B.Tech/B.E/M.Tech/MCA in Computer Science, Information Technology, Electronics or related streams; minimum 60% aggregate (or CGPA 6.0/10); batch 2025 or 2026; no active backlogs at the time of joining; strong foundation in programming and problem‑solving; willingness to learn AI/ML and cloud technologies.

Round 1: Online Aptitude Test → Round 2: Technical Interview (coding + ML concepts) → Round 3: HR Interview

Magnit is a 30‑year‑old leader in workforce management, delivering an integrated platform that combines data, software, intelligence and services to help global brands manage their contingent workforce. With a presence across continents, Magnit’s IWM platform enables organizations to adapt quickly to economic shifts, scale operations, and maintain transparency. The company prides itself on a culture of innovation, collaboration and continuous learning, encouraging employees to experiment with emerging technologies and bring real‑world impact to clients. The Associate Software Engineer role is designed for fresh graduates who are eager to dive into the world of AI‑driven solutions. As part of the AI/ML team, you will work on next‑generation platforms that leverage Large Language Models, machine learning, natural language processing and agentic workflows to automate critical business processes. You will be mentored by senior engineers, contribute to real projects, and gain hands‑on experience with cutting‑edge tools and cloud services. Key Responsibilities: 1. Assist in designing, developing, and testing AI/ML workflows under senior guidance. 2. Support the creation of RESTful APIs and backend services for AI‑driven applications. 3. Contribute to training, fine‑tuning and evaluating ML models for classification, prediction and recommendation tasks. 4. Work with LLMs such as OpenAI, Claude and Gemini, and help with prompt engineering and Retrieval‑Augmented Generation (RAG) pipelines. 5. Build document processing pipelines using OCR, data extraction and ML validation. 6. Integrate AI models with external systems via APIs and micro‑services. 7. Participate actively in agile sprints, design discussions and brainstorming sessions. 8. Document code, processes and learning outcomes to foster knowledge sharing within the team. 9. Perform code reviews and adhere to best practices for version control and testing. 10. Continuously explore new AI/ML techniques and propose improvements to existing solutions. Tech Stack: Python, TensorFlow, PyTorch, scikit‑learn, FastAPI/Flask, Docker, Git, SQL/NoSQL databases, AWS/Azure/GCP services, LLM APIs (OpenAI, Anthropic, Gemini), OCR tools (Tesseract, Azure OCR). Growth Path: Starting as an Associate Engineer, you can progress to Software Engineer, Senior Engineer, Lead Engineer and eventually AI/ML Architect or Product Manager, with opportunities to lead cross‑functional projects and mentor new talent. Why Join Magnit? You will be part of a high‑growth, innovation‑focused environment where your contributions directly impact Fortune‑500 clients. Magnit offers a competitive compensation package, generous PTO, health benefits, and a culture that values learning, diversity and community involvement. Fresh talent gets rapid exposure to real‑world AI applications, making it an ideal launchpad for a rewarding career in machine learning and software engineering.