Senior Full Stack Engineer; AI-Enabled Systems

Position: Senior Full Stack Engineer (AI-Enabled Systems)
Job Overview
We are looking for a Senior Full Stack Engineer who can design and deliver scalable, enterprise‑grade solutions while embracing modern AI‑assisted development approaches.

We Are Looking For

Understands banking/business workflows

Takes end‑to‑end ownership of delivery

Is a strong problem solver

Is open to leveraging AI tools to improve productivity and system design

What You’ll Work On

Build and enhance core banking and onboarding platforms

Design APIs and backend services that support complex workflows

Develop user‑facing applications with strong focus on usability and performance

Work on data‑driven systems, integrations, and orchestration layers

Contribute to modernization initiatives (API‑first, cloud, event‑driven architecture)

Explore and implement AI‑assisted features (automation, insights, intelligent workflows) where appropriate

Key Responsibilities

Design, build, and support end‑to‑end applications across frontend, backend, and integration layers

Translate business requirements into scalable technical solutions

Take ownership of features from design through production and support

Collaborate with product, architecture, and business teams to solve complex domain problems

Build robust microservices/APIs using Java / Node / Python

Develop intuitive frontend applications (React / Angular)

Ensure systems are secure, resilient, and compliant (critical in banking)

Identify opportunities to leverage AI tools to improve delivery efficiency

Contribute to continuous improvement of engineering practices (quality, CI/CD, observability)

Core Technical Stack

Backend:
Java (Spring Boot), Node.js, Python

Frontend:
React or Angular

Architecture:
Microservices, APIs, event‑driven systems

Data: SQL/No

SQL, Oracle

Infrastructure: AWS/Azure, Docker, Kubernetes, Kafka

Tools: CI/CD pipelines, observability platforms

Must‑Have Skills

7–15+ years of experience in backend/full‑stack development in enterprise environments

Strong understanding of system design, scalability, and distributed systems

Experience delivering production‑grade applications end‑to‑end

Solid experience in banking or financial services domain (onboarding, payments, lending, trade, etc.)

Strong problem‑solving and analytical skills

Demonstrated ownership and accountability for delivery

Ability to work across tech stacks and adapt quickly

Strong communication and collaboration skills

Exposure to AI/ML or LLM‑based capabilities (even at feature level)

Experience using AI development tools (e.g., Copilot, code assistants, automation tools)

Nice to Have

Familiarity with search, data retrieval, or analytics platforms

Experience with cloud‑native or modernization programs

Understanding of event‑driven or streaming architectures

Mindset

Thinks beyond code—focuses on business outcomes and user value

Owns problems end‑to‑end, not just assigned tasks

Comfortable working in ambiguous problem spaces

Willing to challenge existing approaches and think creatively

Continuously learning, including how AI can enhance engineering productivity

Pragmatic—balances innovation with real‑world delivery constraints

Salary and Benefits
Salary: $75,900.00 – $

Pay type:

Salaried

Other compensation may include performance‑based incentives, discretionary bonuses, and a range of benefits such as health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans.

#J-18808-Ljbffr