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Senior Sack & GenAI Developer

Job in Brooklyn, Cuyahoga County, Ohio, USA
Listing for: Apex Systems
Full Time position
Listed on 2026-07-14
Job specializations:
  • Software Development
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 110000 - 160000 USD Yearly USD 110000.00 160000.00 YEAR
Job Description & How to Apply Below
Position: Senior Full Sack & GenAI Developer

Senior Full Stack Developer Job Overview

We are seeking a senior full stack developer who is a hands‑on builder with deep knowledge of GenAI and agentic AI. The role will own the full lifecycle of enterprise‑grade applications, from translating business requirements into scalable architectures to delivering production‑ready code. The candidate will embrace AI‑driven development practices to build faster, cleaner, and adopt modern best practices, and must thrive in a large enterprise environment navigating cross‑functional teams, security frameworks, and platform integrations.

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, 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:
    Execute enterprise production readiness processes, including working through Key Bank 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.
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 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 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 coordinating approvals to push changes through to production
  • Comfortable navigating enterprise processes and coordinating across cross‑functional teams to drive deployments…
Position Requirements
10+ Years work experience
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