Principal Software Engineer

Minfy Technologies; United States; On-site; USD 150,000 - 210,000; Full time

Job summary

Minfy Technologies is seeking a Principal Software Engineer to lead our engineering team in delivering robust, scalable software applications and AI-powered products built on modern LLM and ML systems. You will oversee the full software lifecycle, set AI engineering standards, and work with product, design, and other engineers to align with business goals.

You will guide architecture, drive high-impact AI integrations, mentor engineers, and ensure rigorous engineering practices across the stack.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 10+ years of professional experience in full-stack development.
• Hands-on experience designing and shipping production features built on large language models or ML systems.
• Strong leadership with mentoring and coaching experience.
• Proficient in backend tech such as Node.js, Python, Java, or similar; familiar with frontend frameworks.
• Experience with cloud platforms (AWS, GCP, Azure) and containerization.
• Knowledge of DevSecOps and CI/CD pipelines; security awareness.

Responsibilities

• Lead the design, development, and deployment of full-stack software applications.
• Architect scalable, secure, high-performance solutions and AI integrations.
• Architect and integrate AI/ML capabilities into core products, including LLM features and RAG workflows.
• Establish specs-driven AI engineering practices with rigorous reviews and testing.
• Define team standards for AI tooling, prompt/context engineering, and guardrails.
• Drive velocity and code quality through AI tooling while maintaining engineering rigor.
• Mentor junior and mid-level engineers and promote continuous learning.
• Collaborate with product, design, and other engineers to define project requirements.
• Ensure code quality through reviews, testing, and best practices.
• Optimize application performance and troubleshoot across the stack.
• Stay current with AI/LLM trends and apply to development processes.
• Contribute to strategic planning as a member of the engineering leadership team.

Skills

Full-stack

AI/ML systems

Leadership

Backend tech

Cloud platforms

DevSecOps

Education

Bachelor’s or Master’s degree in CS/Engineering

Job description

We are looking for a highly skilled and experienced Principal Software Engineer to lead our

engineering team and drive the development of robust, scalable, and high-performance

software applications — including AI-powered products built on modern LLM and ML systems.

In this role, the candidate will be responsible for overseeing the entire software development

lifecycle, from design and development to deployment and maintenance, while establishing the

practices and standards for how the team builds with AI. The candidate will work closely with

cross-functional teams, including product managers, designers, and other engineers, to deliver

innovative solutions that meet our business objectives.

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. 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.
• 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.

Preferred Qualifications

• 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.