AI Software Development Engineer

Candidates typically face a three‑stage process: an online aptitude test lasting 30‑40 minutes, followed by a technical interview that includes coding on a shared editor and a design discussion around AI/ML integration. The final HR round assesses cultural fit and communication skills. Overall difficulty is moderate; thorough preparation on MERN stack, Python, and basic AI concepts helps candidates succeed.

Navistra Solutions promotes a youthful, collaborative work culture where engineers are encouraged to experiment and own their projects. The company offers flexible hybrid schedules, regular knowledge‑sharing sessions, and a clear path for skill‑based growth, ensuring a healthy work‑life balance for its employees.

Undergraduate (Arts, Commerce, Science & Others) or Engineering (any branch) freshers; minimum 60% aggregate marks; no active backlogs; batch years 2023‑2026; must be able to work on hybrid model in Kerala/Tamil Nadu.

Round 1: Online Aptitude Test → Round 2: Technical Coding & Design Interview → Round 3: HR Interview

Navistra Solutions Private Limited is an emerging technology startup focused on building innovative SaaS‑based solutions for the EdTech sector. Founded by a group of engineers passionate about democratizing quality education, the company leverages artificial intelligence, low‑code/no‑code (LCNC) platforms and modern web technologies to create adaptive learning experiences for schools and colleges across India. With offices in Kerala and Tamil Nadu, Navistra fosters a collaborative culture where ideas are encouraged, rapid prototyping is the norm, and every employee gets a chance to own end‑to‑end product features. The role of AI Software Development Engineer is central to Navistra’s next‑generation platform. As a fresh graduate, you will join a fast‑moving engineering team that builds both the AI‑driven recommendation engine and the full‑stack web application that delivers content to learners. You will work in a spec‑first environment, interpreting detailed product specifications before writing code, and you will use tools like GitHub Copilot or Cursor to accelerate development. The position offers a hybrid work model, allowing you to spend part of the week in the office collaborating with product designers and part of the week working remotely on deep‑focus tasks. Key Responsibilities: 1. Read, analyse and implement detailed feature specifications with zero ambiguity. 2. Collaborate with Product and Design teams to refine specs and suggest technical alternatives. 3. Draft or co‑author Technical Design Documents (TDDs) for assigned modules. 4. Develop end‑to‑end features using the MERN stack (MongoDB, Express, React, Node.js) and Python back‑ends. 5. Integrate AI/ML models into the platform, ensuring scalability and low latency. 6. Write clean, maintainable code adhering to the agreed specifications and company coding standards. 7. Conduct unit testing, code reviews and assist in CI/CD pipeline setup. 8. Participate in sprint planning, stand‑ups and retrospectives to continuously improve delivery. 9. Document APIs and create developer guides for internal and external consumption. 10. Stay updated with emerging AI tools (LLMs, prompt engineering) and propose their adoption where relevant. Tech Stack: MERN (MongoDB, Express, React, Node.js), Python (FastAPI/Django), RESTful APIs, Git, Docker, CI/CD (GitHub Actions), AI/ML frameworks (TensorFlow, PyTorch), LLM‑assisted coding tools (Cursor, Copilot), LCNC platforms. Growth Path: Starting as an AI Software Development Engineer, you can progress to Senior Engineer, Tech Lead, and eventually Product Engineering Manager, with opportunities to lead AI research initiatives or own entire product modules. Why Join Navistra? You will work on a high‑impact EdTech product that reaches thousands of learners, gain hands‑on experience with both full‑stack development and AI integration, and grow in a startup environment that rewards initiative, learning, and ownership.