Lead Engineer

CodeRound; Hinoba-an; On-site; PHP 900,000 - 1,500,000; Full time

Job summary

CodeRound is seeking a Lead Engineer to own architecture and drive AI-powered product development. You will lead scalable backend and AI systems, guide end-to-end delivery, and mentor engineers across design reviews and implementation.

You will stay ahead of AI/ML advances, shape infrastructure decisions, and partner with product and design teams to translate requirements into robust, production-grade solutions.

Qualifications

• Lead Engineer capable of AI/ML and LLM development.
• Experience leading architecture for AI-powered products.
• Proven ability to mentor engineers and own end-to-end delivery.

Responsibilities

• Own the technical architecture and engineering direction for key AI-powered products and platforms.
• Design and build scalable, reliable, and high-performance backend and AI systems.
• Lead the development of LLM/AI capabilities, from experimentation through production deployment.
• Drive technical decisions around architecture, infrastructure, APIs, data, models, and system reliability.
• Build production-grade AI systems with strong focus on quality, latency, scalability, cost, and reliability.
• Identify technical risks and proactively improve system architecture and engineering processes.
• Work closely with product, design, and business teams to translate requirements into scalable technical solutions.
• Mentor engineers through design reviews, code reviews, technical discussions, and hands-on guidance.
• Establish engineering best practices around testing, observability, deployment, security, and operational excellence.
• Own end-to-end delivery of complex technical initiatives and ensure high engineering standards.
• Stay current with advances in AI/ML, LLMs, agentic systems, and modern software engineering and identify opportunities to apply them to the product.

Skills

AI/ML experience

LLM experience

Backend engineering

System design

Distributed systems

Leadership

Mentoring

Python

Tools

Python

Job description

Client: An AI-powered platform that helps businesses automate sales, customer support, and operations using intelligent AI agents.

Requirements:

Lead Engineer Engineering Lead AI Engineer AI/ML Generative AI LLM LLM Applications AI Agents Agentic AI RAG Machine Learning Python Backend Engineering Software Architecture System Design Distributed Systems Cloud AWS GCP Microservices APIs Scalability Production AI MLOps LLMOps AI Infrastructure Technical Leadership Engineering Leadership Startup

We are looking for a Lead Engineer who combines strong software engineering fundamentals with hands-on AI/ML and LLM experience. You will own critical technical decisions, lead the design and development of scalable systems, and work closely with product and engineering teams to turn complex problems into reliable, production-grade solutions.This role is ideal for a highly technical engineer who enjoys building from the ground up, solving ambiguous problems, mentoring engineers, and taking ownership of AI-powered products and infrastructure.

Responsibilities:

• Own the technical architecture and engineering direction for key AI-powered products and platforms.
• Design and build scalable, reliable, and high-performance backend and AI systems.
• Lead the development of LLM/AI capabilities, from experimentation through production deployment.
• Drive technical decisions around architecture, infrastructure, APIs, data, models, and system reliability.
• Build production-grade AI systems with strong focus on quality, latency, scalability, cost, and reliability.
• Identify technical risks and proactively improve system architecture and engineering processes.
• Work closely with product, design, and business teams to translate requirements into scalable technical solutions.
• Mentor engineers through design reviews, code reviews, technical discussions, and hands-on guidance.
• Establish engineering best practices around testing, observability, deployment, security, and operational excellence.
• Own end-to-end delivery of complex technical initiatives and ensure high engineering standards.
• Stay current with advances in AI/ML, LLMs, agentic systems, and modern software engineering and identify opportunities to apply them to the product.

Nice to have:

Lead Engineer Engineering Lead AI Engineer AI/ML Generative AI LLM LLM Applications AI Agents Agentic AI RAG Machine Learning Python Backend Engineering Software Architecture System Design Distributed Systems Cloud AWS GCP Microservices APIs Scalability Production AI MLOps LLMOps AI Infrastructure Technical Leadership Engineering Leadership Startup