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Senior Software Engineer, AI Infra

Welcome to Decision Foundry - Data Analytics Division!

We are proud to introduce ourselves as a certified "Great Place to Work," where we prioritize creating an exceptional work environment. As a global company, we embrace a diverse culture, fostering inclusivity across all levels.

Originating from a well-established 19-year web analytics company, we remain dedicated to our employee-centric approach. By valuing our team members, we aim to enhance engagement and drive collective success.

We are a leading Data Analytics & Salesforce consulting firm delivering transformative digital solutions for businesses across industries. Our expert team partners with clients to unlock the full potential of the Salesforce ecosystem, with a specialized focus on data-driven marketing, automation, and AI-powered personalization. 

We win as an organization through our core tenets. They include:

·       One Team. One Theme.

·       We sign it. We deliver it.

·       Be Accountable and Expect Accountability.

·       Raise Your Hand or Be Willing to Extend it

Role summary

We are seeking a Senior Software Engineer, AI Infra for a client who will design and build machine learning infrastructure to run state-of-the-art deep-learning models on many terabytes of video in real time. You will help build a data engine to collect training data and continuously train and evaluate the computer vision models. Your work will be at the forefront of new developments in AI and computer vision.

You will partner with the research scientists to deliver the latest AI advancements, including LLM and LVMs (large vision models), towards the product and customers.

Work Location: Redwood City
Employment type: Full Time

What you'll do:

  • You will be playing a pivotal role in building and maintaining cutting-edge machine-learning infrastructure.
  • Develop a robust data engine for collecting training data, ensuring scalability and efficiency in continuous model training and evaluation.
  • Collaborate with research scientists to integrate state-of-the-art AI advancements, including LLMs and LVMs, into the company's computer vision models.
      • 4+ years of industry experience.
      • BS/MS in Computer Science or related field with a strong programming background.
      • Strong background in machine learning and deep learning. A background in computer vision is a strong plus.
      • Proficient in designing and building scalable machine learning infrastructure, including experience with distributed systems.
      • Expertise in programming languages, especially Python, and sound knowledge of software development best practices.
      • Experience in designing and implementing data engines for collecting and managing training data.
      • Experience with integrating advanced AI models, including LLMs, LVMs, and RAG, into production systems is a strong plus.
      • Strong collaboration and communication skills for effective teamwork with research scientists, product teams, and stakeholders.
      • Proactive problem-solving ability, a mindset for innovation, and adaptability to incorporate new technologies and methodologies.
  • Work Model – Hybrid
  • Employment Type - Full-time
  • Salary - $168K – $210K • Offers Equity (Final offers are based on job-related skills, experience, location, and internal equity. Base salary is just one part of our total rewards package, including stock options and the opportunity to share in the company’s growth.)
  • Decision Foundry is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.

Average salary estimate

$189000 / YEARLY (est.)
min
max
$168000K
$210000K

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Full-time, hybrid
DATE POSTED
March 19, 2026
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