Talantix.io
Mercury•10.03.26
AI SCORE 8.5

Senior Software Engineer - AI & Automation (Remote)

$201K–$251K/year
RemoteFinTech
Software Engineering•AI•Automation•Distributed Systems•KYC•AML•Risk Management

About the Role

We're looking for a Senior Software Engineer - AI & Automation (Remote) to join our innovative team at Mercury. In this role, you'll be at the forefront of developing intelligent automation systems that enhance our risk management processes. You will help shape the architecture and implementation of AI-powered risk systems, transforming complex signals into clear outcomes. As a Senior Software Engineer, you will drive AI product development in risk, collaborating across functions to create elegant and resilient software solutions.

What You'll Do

  • Drive AI Product Development in Risk: Shape the architecture and implementation of AI-powered risk systems.
  • Collaborate Across Functions: Partner with Product, Design, Risk Strategy, Compliance, and Operations to translate regulatory needs into software.
  • Lead Projects End-to-End: Manage technical projects from concept to production across the stack.
  • Craftsmanship: Write clear, testable, and maintainable code, establishing best practices for your team.
  • Drive Quality & Scalability: Design extensible platform systems that ensure long-term reliability.
  • Operational Excellence: Model a culture of operational excellence, focusing on observability and reliability.
  • Think Product, Not Just Code: Approach problems with a product mindset, considering business impact.
  • Mentor & Elevate: Coach engineers by sharing best practices and critical thinking skills.

Requirements

  • 5+ years of software engineering experience, preferably in Payments or Risk.
  • Expertise in agentic AI, with a history of building and launching impactful products.
  • Proven success in building large-scale distributed systems.
  • A mindset that balances urgency with craftsmanship, ensuring quality engineering.
  • Strong communication and leadership skills to inspire and influence decisions.
  • Experience with KYC, AML, risk, or compliance systems in financial services or fintech.

Nice to Have

  • Experience in a fintech environment.
  • Familiarity with regulatory frameworks and compliance challenges.
  • Curiosity about emerging AI technologies.

What We Offer

  • Competitive salary and equity (stock options/RSUs).
  • Comprehensive benefits package.
  • Remote work flexibility.
  • Opportunities for professional growth and development.
  • A diverse and inclusive workplace culture.
Why This Job8.5 of 10

This Senior Software Engineer position at Mercury offers a unique opportunity to work on AI-driven automation in the fintech space, with a competitive salary and remote work flexibility.

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

Who Will Succeed Here

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Proficient in developing and deploying machine learning models using frameworks like TensorFlow or PyTorch, with a focus on automation in risk management and KYC/AML processes.

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Strong experience with distributed systems architecture, enabling the design of scalable AI solutions that efficiently process large datasets relevant to risk assessment.

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Demonstrates a proactive mindset in identifying automation opportunities within existing workflows, coupled with a passion for continuous improvement and staying updated on industry trends in AI and automation.

Learning Resources

→AI for Everyonecourse
→Distributed Systems: Principles and Paradigmsbook
→Building Scalable Python Applications with FastAPIcourse

Career Path

Senior Software Engineer - AI & Automation(Now)→Lead AI Engineer(1-2 years)→Director of AI and Automation(3-5 years)

Market Overview

Market Size 2024
$500B
Annual Growth
12.5%
AI Adoption in Software Engineering
75%
Investment in AI & Automation
+150%
Labour Demand for AI Engineers
+30%
Avg Salary for Senior Software Engineers
$130K

Skills & Requirements

Required
Software EngineeringAIAutomation
Growing in Demand
Machine Learning Frameworks (TensorFlow, PyTorch)Cloud Computing (AWS, Azure, GCP)DevOps Practices (CI/CD, Infrastructure as Code)
Declining
Traditional Waterfall Project ManagementLegacy Programming Languages (e.g., COBOL)

Domain Trends

Increased Investment in AI & Automation
Businesses are projected to invest over $200 billion in AI and automation technologies by 2025, driving demand for skilled professionals.
Shift Towards Cloud-Native Solutions
Over 85% of enterprises are expected to adopt cloud-native architectures by 2025, necessitating skills in cloud computing and microservices.
Focus on Regulatory Compliance Automation
With the rise in KYC and AML regulations, 60% of financial institutions are investing in automated compliance solutions to reduce risks and enhance efficiency.

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