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Information Technology 🏢 Full Time ⭐️ Verified

Lead Software Engineer - 2026 AI Initiatives

FutureForge Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
3 Juni 2026
Deadline
3 Jun 2027

Job Description

Are you ready to build the future? At FutureForge Technologies, we are actively looking for a visionary Lead Software Engineer to spearhead our 2026 AI Initiatives. As we prepare for our next generation of product launches, you will play a critical role in architecting scalable, high-performance AI systems that will define our market position in 2026 and beyond.

This is a unique opportunity to step into a high-impact leadership role, working with cutting-edge technologies and a world-class team. If you are passionate about forward-thinking engineering, large language models, and shaping the technological landscape of tomorrow, we want you on our team.

Responsibilities

  • Architect and develop robust, scalable software solutions tailored for our 2026 AI product roadmap.
  • Lead, mentor, and grow a high-performing team of software engineers and data scientists.
  • Collaborate directly with executive leadership and product managers to align technical strategies with future business goals.
  • Design and implement secure, cloud-native infrastructure (AWS/GCP) capable of supporting advanced machine learning models.
  • Establish best practices for code quality, testing, and continuous integration/continuous deployment (CI/CD).
  • Conduct rigorous performance optimization and system tuning to ensure low-latency AI inference.
  • Stay ahead of industry trends to ensure our 2026 tech stack remains highly competitive and innovative.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
  • Minimum of 7+ years of professional software engineering experience, with at least 2 years in a leadership or architecture role.
  • Deep expertise in Python, C++, or Rust, with a strong understanding of backend system design.
  • Proven experience integrating Large Language Models (LLMs) and generative AI into production environments.
  • Extensive knowledge of cloud infrastructure (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).
  • Exceptional problem-solving skills and the ability to translate complex business requirements into technical realities.
  • Excellent communication skills, with a track record of successfully leading cross-functional technical teams.

Required Skills

Python LLM Architecture Cloud Infrastructure (AWS) Kubernetes System Design Agile Leadership Machine Learning CI/CD

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