Testing & Quality Assurance: Test AI outputs for accuracy, consistency, and edge cases. Debug AI workflows, resolve integration issues, and continuously improve system quality through feedback loops.
Cross-functional Collaboration: Partner with product managers, designers, QA, and DevOps teams to gather requirements, ensure alignment, and deliver high-impact features.
Code Excellence & Mentorship: Write clean, efficient, and reusable code. Conduct thorough code reviews and provide mentorship to junior engineers to foster a culture of continuous learning.
Innovation & Security: Stay abreast of the latest AI/LLM trends and proactively apply them. Implement robust security measures to ensure data protection and industry compliance.
Minimum Qualifications
Education: Bachelor’s degree in Computer Science, Engineering, AI, ML, or a related field (or equivalent work experience).
Experience: 7+ years of progressive experience in programming (Python, Java, Kotlin, or Node.js) with a strong background in designing/maintaining REST APIs and microservices.
Frontend Proficiency: Strong command of HTML, CSS, and modern JavaScript (ES6+). Experience with frameworks like React (Remix), Angular, or Vue.js, and state management libraries (e.g., Redux, MobX).
AI/LLM Expertise: Proven experience designing and implementing scalable AI agents and automation platforms using LLMs. Solid understanding of ML, Deep Learning, and NLP fundamentals (TensorFlow, PyTorch, JAX, or Keras).
Technical Foundations: Deep understanding of full-stack software development principles, design patterns, data structures, and algorithms.
Soft Skills: Excellent analytical and problem-solving skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders.
Methodology: Experience working within Agile development environments.
Languages
English (Overall - 3 - Advanced)
