Senior Full Stack & GenAI Developer

Position: Senior Full Stack & GenAI Developer # 26-17270
Duration : 5+ months contract (with possible extension)


Job Description
:
We are seeking a senior full stack developer who is a hands-on builder with deep knowledge of GenAI and agentic AI. This individual will own the full lifecycle of enterprise-grade applications, from translating business requirements into scalable architectures, to standing up proof-of-concepts, to delivering production-ready code. They embrace AI-driven development practices and tools to build faster, cleaner, and with modern best practices baked in.

They must thrive in a large enterprise environment, navigating cross-functional teams, security frameworks, and platform integrations with confidence and speed.

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, Lang Graph, or CrewAI to solve complex enterprise workflows autonomously.
• Enterprise Production Readiness Knowledge:
  Navigate and execute enterprise production readiness processes, including working through IT and application standards, submitting and managing Service Now change records (CRs), and coordinating across infrastructure, security, and platform teams to successfully deploy applications to production

Required Technical Skills Languages and Frameworks

• Python (advanced) — Flask, FastAPI
• JavaScript/Type Script — React, Next.js, modern frontend frameworks
• HTML5, CSS3, Tailwind CSS or equivalent utility-first CSS frameworks
• RESTful API design

Cloud and Infrastructure (GCP)

• Cloud Run, Cloud Functions
• Big Query for large-scale analytics
• Cloud SQL (PostgreSQL)
• Cloud Storage
• Cloud IAM, VPC, networking fundamentals
• Gemini
• Google ADK
• APIGEE

Infrastructure as Code and Dev Ops

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

Data and Performance

• Designing high-performance, data-intensive applications
• SQL proficiency across large-scale analytical and transactional databases
• Data pipeline design and optimization
• Caching strategies, async processing, and query tuning

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), Lang Graph, 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 Git Hub 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
• Service Now — submitting change requests (CRs), service requests, and…