Spectertech Labs is hiring Software Engineers in Bengaluru for candidates with 0–2 years of experience. The opportunity is open to 2024, 2025, 2026 and 2027 batches and is designed for engineers who enjoy solving problems, learning new technologies and taking ownership of real-world software products. The role also provides exposure to SaaS development, APIs, scalable systems, AI-powered products and Agentic AI.
📌 Job Details
🏢 Company: Spectertech Labs
💼 Role: Software Engineer
📍 Location: Bengaluru
🧑💻 Experience: 0–2 Years
🎓 Qualification: BE / B.Tech
🎓 Eligible Batches: 2024 / 2025 / 2026 / 2027
💰 Salary: ₹80,000 – ₹1,20,000 per month
💵 Annualized Salary: Approximately ₹9.6–14.4 LPA
🏢 Environment: Technology-first startup
🤖 Focus Areas: Software Engineering, SaaS, AI, Agentic AI and Automation
🏢 About Spectertech Labs
Spectertech Labs is a technology-first company focused on building scalable software, SaaS products and AI-powered solutions. The company’s hiring approach emphasizes curiosity, ownership, continuous learning and the ability to adapt to modern technologies.
For Software Engineers, the role is designed to provide hands-on exposure across different areas of the technology stack. Instead of restricting engineers to a single narrow responsibility, the position encourages them to contribute to software development, APIs, integrations, workflows, debugging, performance optimization and AI-powered product development.
⭐ Why This Role Is Good for Freshers & Early-Career Engineers?
💻 End-to-End Development: Work on designing, developing, testing and maintaining real software features.
🌐 Backend & APIs: Gain practical experience building APIs, integrations and workflows.
☁️ SaaS Exposure: Understand how scalable software products are developed and maintained.
🤖 AI Engineering: Work with AI-powered products, intelligent agents and automation workflows.
🧠 Problem Solving: Develop stronger debugging, system-thinking and technical decision-making skills.
🚀 Startup Experience: Work closely with a growing team where individual ownership can have a visible impact.
🔍 Modern AI Workflows: Learn how AI tools can improve engineering productivity while still requiring developers to validate the output.
🎯 Skills Required
💻 Programming: Strong understanding of at least one programming language and core programming concepts.
🧠 DSA & Problem Solving: Ability to break complex problems into smaller, logical solutions.
🏗️ Software Engineering: Understanding of clean code, modular design, debugging and maintainability.
🌐 APIs & Integrations: Basic understanding of REST APIs, request/response models and system integrations.
🗄️ Databases: Familiarity with SQL or NoSQL concepts is beneficial.
🔧 Git: Understanding of version control and collaborative development workflows.
🤖 AI Tools: Ability to use AI-assisted development tools effectively and critically evaluate generated code.
🧩 System Thinking: Curiosity about how applications, services and components interact.
🤝 Communication: Ability to explain technical ideas and collaborate with team members.
🎯 Expected Interview Rounds
🔹 Initial Screening: Resume discussion, education, projects, programming fundamentals and motivation.
🔹 Coding/DSA Round: Problems involving arrays, strings, hash maps, recursion, sorting, searching and basic algorithmic thinking may be relevant.
🔹 Technical Interview: Programming, APIs, databases, debugging, software design and project-related questions.
🔹 AI/Modern Development Discussion: Candidates may be asked about AI tools, AI-assisted coding, LLMs, agents or how they would validate AI-generated output.
🔹 Managerial/Founder/Final Round: Ownership, learning ability, communication, startup adaptability and problem-solving approach may be evaluated.
💰 Salary Range
The advertised salary is ₹80,000–₹1,20,000 per month, which corresponds to approximately ₹9.6–14.4 LPA on an annualized basis. The actual compensation structure may depend on the final offer and employment terms.
For early-career candidates, the combination of compensation and exposure to SaaS, AI and Agentic AI can make this opportunity particularly attractive.
📚 Preparation Tips
🧠 Practice problem solving: Focus on writing clean solutions and explaining your thought process instead of memorizing answers.
💻 Strengthen one programming language: Be comfortable with syntax, OOP, collections/data structures, functions and error handling.
🌐 Build an API project: Create a small backend application with REST APIs and explain its architecture.
🤖 Experiment with AI: Build a simple LLM-powered application or automation workflow and understand how it works internally.
🔍 Learn to critique AI code: Practice identifying hallucinations, security issues, inefficient logic and incorrect assumptions in AI-generated solutions.
🏗️ Understand system architecture: Learn basic concepts such as clients, APIs, services, databases, authentication and asynchronous workflows.
📄 Resume Tips
Keep your resume focused on programming ability, projects, problem-solving and learning agility. Put your strongest programming languages and technical skills near the top.
For projects, avoid generic descriptions such as “developed a website.” Instead, mention the architecture and your contribution—for example, “Developed REST APIs for a SaaS application and implemented database-backed workflows.”
If you have built an AI chatbot, RAG application, intelligent agent, automation workflow or AI-assisted development project, highlight it prominently. Mention the technologies used and explain what problem the project solved.
📩 How to Apply
👉 Application Link: Click Here
🚀 If you are a 2024–2027 BE/B.Tech candidate with strong programming fundamentals, curiosity and an interest in AI-powered software, Spectertech Labs offers an opportunity to build real products while developing modern engineering and Agentic AI skills.
