Principal Software Engineer

Minfy is seeking a highly skilled and experienced Principal Software Engineer to lead their engineering team in developing robust, scalable, and high-performance software applications, including AI-powered products. The role involves overseeing the entire software development lifecycle and collaborating with cross-functional teams to deliver innovative solutions.

Responsibilities:

• Lead the design, development, and deployment of full-stack software applications
• Architect and implement scalable, secure, and high-performance solutions
• Architect and integrate AI/ML capabilities into core products — including LLM-powered features, retrieval-augmented generation (RAG), and agentic workflows — with attention to latency, cost, evaluation, and reliability
• Establish and lead a disciplined, spec-driven approach to AI-assisted software engineering: clear specifications, design intent, and acceptance criteria that drive AI tooling, with rigorous review, testing, and validation — explicitly not ad-hoc “vibe coding.”
• Define team standards for building with AI, including prompt and context engineering, model evaluation and guardrails, and responsible-AI considerations (safety, bias, data privacy)
• Drive adoption of AI coding assistants and agentic development tools to raise velocity and code quality, while maintaining engineering rigor and accountability for what ships
• Mentor and guide junior and mid-level engineers, fostering a culture of continuous learning and improvement
• Collaborate with product managers, designers, and other stakeholders to define project requirements and specifications
• Ensure code quality and maintainability through code reviews, testing, and best practices
• Optimize application performance and troubleshoot issues across the stack
• Stay up-to-date with emerging technologies and industry trends, and apply them to improve our development processes and products
• Contribute to strategic planning and decision-making as a key member of the engineering leadership team

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• 10+ years of professional experience in full-stack development, with a strong emphasis on both frontend and backend technologies
• Hands-on experience designing and shipping production features built on large language models or other ML systems — including integration, evaluation, guardrails, and monitoring — using the modern AI/LLM stack: model APIs (OpenAI, Anthropic, or similar), orchestration frameworks (LangChain, LlamaIndex or similar), and vector databases
• Demonstrated experience leading AI-assisted, spec-driven engineering: defining specifications and acceptance criteria that guide AI tooling, with strong review and testing discipline rather than unstructured generation
• Strong proficiency in backend technologies such as Node.js, Python, Ruby, Java, Golang, or similar
• Expertise in frontend technologies such as HTML, CSS, JavaScript, and modern frameworks like React, Angular, or Vue.js
• Experience with database design and management, including SQL and NoSQL databases
• Experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes)
• Expertise in distributed computing, networking, microservices, and serverless architecture
• Solid understanding of DevSecOps practices and CI/CD pipelines
• Excellent problem-solving skills and the ability to think critically and strategically
• Strong leadership and communication skills, with the ability to mentor and inspire team members
• Proven track record of delivering high-quality software on time and within budget
• Knowledge of security best practices and compliance standards
• Familiarity with MLOps and the lifecycle of deploying, versioning, and monitoring models in production
• Good understanding of Data Engineering, Business Intelligence, and Big Data Analytics
• Prior experience in a leadership or management role
• Contributions to open-source projects or a strong personal portfolio