hackajob · 10 hours ago
Software Engineer III- Big Data / AI/ML / Python / React
Jersey City, NJ
Full-time
Onsite
Mid Level
$133K/yr - $185K/yr
3+ years expHackajob is collaborating with J.P. Morgan to connect them with exceptional tech professionals for this role. As a Software Engineer III, you will design and deliver technology products within the Asset and Wealth Management Technology AI Team, focusing on developing scalable solutions that integrate AI/ML models to solve real-world banking problems.
Artificial Intelligence (AI)Generative AIHuman ResourcesRecruitingSoftware
Responsibilities
Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
Designs, develops, and deploys scalable web applications and services that integrate AI/ML models to solve real-world banking problems (e.g., document understanding, workflow automation)
Collaborates with data scientists and machine learning engineers to productionize AI solutions, ensuring seamless integration into business workflows
Engages with stakeholders to understand business requirements, frame technical problems, and deliver user-friendly solutions
Contributes to best practices in software engineering, including code quality, testing, CI/CD, and responsible AI deployment
Works across the technology stack (front-end, back-end, cloud, APIs, databases) to deliver robust, maintainable solutions
Partners with cross-functional teams such as Product Management, Technology, Legal, Compliance, and Business Management to deploy solutions into production
Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
Qualification
Required
Formal training or certification on software engineering concepts and 3+ years applied experience
Hands-on practical experience in system design, application development, testing, and operational stability
Experience building and deploying full stack applications in production environments
Experience developing multi model LLM systems
Proficiency in modern web development frameworks (e.g., React, Angular, Vue) and back-end technologies (e.g., Node.js, Python, Java, .NET)
Experience integrating AI/ML models into applications (e.g., using REST APIs, microservices, or cloud-based ML platforms)
Familiar with Python-based ML libraries (e.g., Scikit-learn, PyTorch, TensorFlow) and ability to work with data scientists to operationalize models
Strong understanding of software engineering best practices (version control, testing, CI/CD, code reviews)
Excellent communication skills; able to explain technical concepts to non-technical stakeholders
Comfortable working in ambiguous problem spaces and collaborating across technical and business domains
Detail-oriented and mission-driven; focused on delivering solutions that work in production
Preferred
Experience in financial services or other regulated industries
Familiarity with model monitoring, explainability, or AI governance in production environments
Experience with multi-agent systems or chaining AI models with traditional systems
Interest in responsible AI practices and working with compliance/legal teams
Benefits
Comprehensive health care coverage
On-site health and wellness centers
A retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching
Company
hackajob
The AI-native tech hiring platform trusted by enterprises, scale-ups, and 1M+ tech professionals worldwide.
51-200 employees
Funding
Current Stage
Growth StageTotal Funding
$33MKey Investors
Volition CapitalDowning VenturesTechstars
2023-05-03Series B· $25M
2018-10-25Series A· $6.7M
2017-03-31Seed· $0.58M
Leadership Team
Mark Chaffey
CEO
Phil Kell
VP - Marketplace
Recent News
2025-10-23
2025-09-26
2025-09-12
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