Core Responsibilities

Requirements to Architecture: Partner directly with business stakeholders to translate functional requirements into technical designs, system architectures, and data flow diagrams without hand-holding.
Proof-of-Concept Development: Rapidly prototype solutions to validate feasibility, demonstrate value, and accelerate stakeholder buy-in.
Full Stack Development: Own the end-to-end codebase. Backend services, frontend interfaces, APIs, Terraform IaC development, setup and deployment pipelines.
Performance Engineering: Design and optimize data-heavy applications that handle large-scale datasets with low latency and high reliability.
Enterprise Integration: Build and maintain integrations across enterprise platforms including identity providers, internal APIs, and shared services operating at scale across multiple business lines.
AI-Augmented Development: Leverage GenAI-assisted coding tools and agentic frameworks to accelerate development velocity while maintaining code quality and best practices.
Agentic AI Design and Orchestration: Architect and build multi-agent systems, designing agent roles, tool integrations, orchestration patterns, and memory strategies using frameworks like Google ADK, LangGraph, or CrewAI to solve complex enterprise workflows autonomously.

Required Technical Skills Languages and Frameworks

Cloud and Infrastructure (Google Cloud Platform)

Infrastructure as Code and DevOps

Terraform for provisioning and managing cloud infrastructure
GitLab repositories, branching strategies, and GitLab CI/CD pipelines
Container orchestration, deployment automation, and environment promotion workflows

Data and Performance

AI and GenAI

Strong understanding of LLMs, prompt engineering, and retrieval-augmented generation (RAG)
Hands-on experience with agentic AI frameworks ? Google Agent Development Kit (ADK), LangGraph, CrewAI, or equivalent
Multi-agent orchestration ? designing, deploying, and managing systems where multiple specialized agents collaborate to complete complex tasks
Experience integrating GenAI capabilities into applications via Vertex AI, OpenAI APIs, or similar platforms
Proficient in AI-assisted development ? actively uses tools like Google Code Assist, Claude Code, or GitHub Copilot as part of their daily workflow
Stays current with the rapidly evolving AI landscape and can evaluate and adopt new frameworks and patterns as they emerge

Enterprise Operations

Active Directory group management and RBAC patterns
SSO and Okta integration for federated identity
ServiceNow ? submitting change requests (CRs), service requests, and coordinating approvals to push changes through to production
Comfortable navigating enterprise processes and coordinating across cross-functional teams to drive deployments and resolve dependencies
Familiar with enterprise change management processes, production governance, and release coordination

Desired Experience

7+ years of professional hands-on software development experience, with at least 5 years in a full stack capacity
Demonstrated history of building and shipping enterprise-grade applications from scratch ? not just maintaining existing codebases
Experience working within large financial institutions or similarly regulated industries is a strong plus
Comfortable operating across organizational boundaries ? collaborating with cross-functional teams spanning cloud, networking, DevOps, infrastructure, security, data, and business
Track record of independently driving technical initiatives from concept through production

Senior Full Stack Gen AI Developer - Remote - Banking - W2 Only

Key skills