Role Overview

We are looking for a hands-on engineering leader who can own technical design and drive end-to-end development of scalable, high-quality systems. This role requires strong architectural depth, coding excellence, and the ability to mentor engineers while building production-grade applications in a fast-paced agile environment.

You will lead by example — designing systems, writing clean code, solving complex problems, and ensuring engineering best practices across the stack.

Key Responsibilities

- Lead technical design and architecture discussions (HLD & LLD).
- Build scalable, modular, and testable systems with strong engineering fundamentals.
- Own complex features end-to-end — design, development, testing, and optimization.
- Write high-quality, production-ready code with strong unit test coverage.
- Ensure clean code practices (SOLID principles, modular design, reusability).
- Drive engineering quality within CI/CD environments.
- Debug and resolve complex issues across distributed systems and APIs.
- Mentor engineers and elevate overall code quality standards.
- Collaborate effectively within agile teams and move with delivery velocity.

Core Technical Requirements

- 8+ years of hands-on software development experience.
- Strong proficiency in:
- Java
- Node.js
- Angular (6+)
- JavaScript / TypeScript
- SQL & MongoDB




- Deep understanding of system design, architecture patterns, and scalable application development.
- Solid debugging capabilities across:
- Distributed services
- API integrations
- UI state management
- Database query performance
- Experience working in CI/CD-driven engineering environments.

GenAI & AI Stack Expertise

- Hands-on experience with GenAI frameworks and LLM integrations.
- Familiarity with:
- LangChain ecosystem
- Hugging Face
- Prompt chaining & orchestration
- Understanding of AI cost optimization strategies.
- Ability to debug AI pipelines and optimize model interactions.

Engineering Expectations

- Strong ownership mindset.
- Ability to design independently and lead technical direction.
- Exceptional problem-solving and debugging skills.
- High attention to detail.
- Comfortable working in fast-paced agile/scrum setups.
- Strong communication and collaboration skills.
- Ability to mentor and guide other engineers.

Educational Qualification

- Bachelor’s degree in Computer Science / Engineering / related field
- or
- Master’s degree in Computer Science / Computer Applications

Skills:- Java, Javascript, TypeScript, NodeJS (Node.js), Angular (2+), SQL, MongoDB, cicd, Generative AI and Large Language Models (LLM)

📌 Staff Engineer - JavaAI (Hyderabad)
🏢 KnackLabs
📍 Hyderabad