8am05.03.26
AI SCORE 8.5

Senior Software Engineer - AI Solutions

$140K–$180K/year

About the Role

Join us as a Senior Software Engineer focused on AI solutions in a fully remote capacity. In this role, you will be part of a dynamic team at 8am, where your expertise will help shape the future of our AI-powered products.

What You'll Do

  • Collaborate with product managers and stakeholders to translate business problems into AI-driven solutions.
  • Design, implement, and integrate AI features into existing 8am products.
  • Partner with the Data team to ensure the right data is collected, enriched, prepared, and staged for AI consumption and use.
  • Build and evaluate AI-powered services, from customer-facing prototypes to general availability to all our customers.
  • Write high-quality Python code to manipulate data, interact with large language models, and assess performance.
  • Develop tools and infrastructure to support reliable, scalable, and secure AI deployment.
  • Work with our cloud operations team to deploy AI features, monitor their impact, and continuously improve them.

Requirements

  • 5+ years of professional software engineering experience, ideally in full stack SaaS application development or backend.
  • Proven track record of building and deploying production-ready AI/ML services.
  • Hands-on experience with LLM frameworks, platforms, and related tooling.
  • Strong Python or equivalent modern tech stack development skills and familiarity with data manipulation and evaluation workflows.
  • Experience building scalable data infrastructure and integrating models into broader SaaS systems.
  • Experience working in AWS cloud environments, or equivalent and with modern DevOps practices.
  • Demonstrated experience leveraging AI tools and technologies to improve workflows, enhance decision-making, or drive innovation.

Nice to Have

  • Bachelor’s degree or higher in Computer Science, Engineering, or a related technical field.
  • Experience fine-tuning and optimizing Large Language Models (LLMs).
  • Experience integrating AI into streaming or real-time data flows.
  • Background in Natural Language Processing (NLP).
  • Exposure to fintech or the legal industry.

What We Offer

  • Competitive salary range of $140,000 - $180,000 annually.
  • Fully remote work environment with flexible hours.
  • Opportunities for professional development and continuous learning.
  • Inclusive and diverse workplace culture.
  • Health and wellness benefits.
Why This Job8.5 of 10

This Senior Software Engineer role offers a unique opportunity to work on cutting-edge AI solutions in a fully remote setting. Join a recognized leader in the FinTech space and contribute to innovative projects.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

Proficient in Python with a strong understanding of AI and machine learning frameworks such as TensorFlow and PyTorch, enabling the development of robust AI solutions.

Self-motivated and disciplined, thriving in a fully remote work environment, with excellent time management skills to balance multiple projects and deadlines effectively.

Experience in deploying machine learning models in AWS environments, utilizing services like SageMaker, Lambda, and EC2, along with a solid background in DevOps practices for CI/CD pipelines.

Learning Resources

Python for Data Science Handbookguide

Career Path

Senior Software Engineer - AI Solutions(Now)Lead AI Engineer(1-2 years)Director of AI Solutions(3-5 years)

Market Overview

Python Market Size 2024
$30B
Annual Growth
11.5%
AI Adoption in Enterprises
78%
Investment in AI Solutions
+150%
Labour Demand for AI/ML Roles
+40%
Avg Salary for Senior Python Developers
$130K

Skills & Requirements

Required
PythonAIMachine Learning
Growing in Demand
TensorFlowDockerKubernetes
Declining
MATLABR

Domain Trends

Rise of AI-Powered SaaS Solutions
The demand for AI-driven SaaS platforms is projected to grow by 25% annually, as businesses seek to enhance efficiency and customer experience.
Increased Focus on MLOps
Adoption of MLOps practices is expected to rise by 35% in the next two years, reflecting the need for streamlined deployment and management of machine learning models.
Shift Towards Serverless Architectures
The adoption of serverless computing within AI solutions is anticipated to grow by 50%, enabling developers to focus on code without managing infrastructure.

Industry News

Loading latest industry news...

Finding relevant articles from the last 6 months

All job postings are automatically gathered by algorithms. We do not review or verify listings, be careful when applying and do not sign-in with iCloud or Google services.