AI-Native Software Engineer – Trainee

Round 1: Online Aptitude Test → Round 2: Technical Interview (coding, AI tool usage, system design) → Round 3: HR Interview

Spektra Systems promotes a collaborative remote‑first culture where learning and innovation are core values. Employees enjoy flexible hours, regular mentorship, and opportunities to experiment with state‑of‑the‑art AI tools, fostering a healthy work‑life balance.

The interview process at Spektra typically starts with a timed online aptitude test, followed by a technical interview that focuses on coding proficiency, understanding of AI coding assistants, and basic system design. The final HR round assesses cultural fit and communication skills. Candidates should be comfortable with problem‑solving under time pressure and be ready to discuss any AI‑related projects they have undertaken.

Any graduate degree (B.Tech, B.E., B.Sc., MCA, BCA) from any stream; minimum 60% aggregate marks; batch years 2022‑2026; no active backlogs at the time of joining; must have a genuine interest in AI‑augmented development and basic programming knowledge.

Spektra Systems LLC is an emerging technology firm focused on building AI‑driven solutions for enterprises worldwide. Though headquartered in the United States, the company operates a fully distributed team with a strong presence in India, enabling it to tap into the country's vast pool of tech talent. Spektra prides itself on a culture of rapid innovation, where engineers are encouraged to experiment with generative AI tools, contribute to open‑source projects, and deliver production‑grade software that solves real business problems. The organization’s remote‑first policy ensures that employees enjoy flexibility while staying connected through regular virtual sync‑ups, mentorship programs, and collaborative code reviews. The role of AI‑Native Software Engineer – Trainee is designed specifically for fresh graduates and students who are eager to dive into full‑stack development powered by modern AI coding assistants. As a trainee, you will work under the guidance of senior engineers on live projects that integrate large language models, AI agents, and prompt‑engineering techniques into web applications. This hands‑on exposure will help you build a robust portfolio while learning best practices in cloud deployment, CI/CD pipelines, and agile development. Key Responsibilities: 1. Develop and maintain front‑end components using React.js, Next.js or Angular. 2. Write clean, modular back‑end services in Python, JavaScript/TypeScript or C#. 3. Design, implement, and consume RESTful APIs and interact with SQL databases. 4. Leverage AI coding assistants such as Claude Code, Cursor, Codex or GitHub Copilot to accelerate development and improve code quality. 5. Participate in code reviews, unit testing, and debugging sessions. 6. Collaborate with product and design teams to translate requirements into technical specifications. 7. Deploy applications on cloud platforms and set up CI/CD workflows. 8. Contribute to documentation, knowledge‑base articles, and internal tooling. 9. Continuously explore emerging AI tools and propose enhancements to the development workflow. 10. Attend mentorship sessions and weekly tech talks to upskill in AI‑augmented software engineering. Tech Stack: JavaScript, TypeScript, Python, C#, React.js, Next.js, Angular, REST APIs, SQL, Git, GitHub, Claude Code, Cursor, Codex, GitHub Copilot, AI Agents, Prompt Engineering. Growth Path: Starting as a trainee, high performers can progress to Junior Engineer, then to Full‑Stack Engineer, and eventually to AI Solutions Architect or Team Lead within 2‑3 years, depending on skill acquisition and project impact. Why Join Spektra? You will work on cutting‑edge AI‑powered projects from day one, receive mentorship from industry veterans, enjoy a flexible remote work environment, and gain exposure to the latest generative AI tools that are reshaping software development. This role offers a solid foundation for a long‑term career in AI‑enhanced engineering.