[Remote] Senior Full Stack Gen AI Developer - Remote - Banking - W2 Only - JOBID728
Note: The job is a remote job and is open to candidates in USA. Outcome Logix is a recognized tech company focused on innovative solutions in the banking sector. They are seeking a Senior Full Stack Gen AI Developer to partner with business stakeholders, develop proof-of-concept solutions, and manage end-to-end codebases while leveraging AI-assisted development tools.
Responsibilities
- Partner directly with business stakeholders to translate functional requirements into technical designs, system architectures, and data flow diagrams without hand-holding
- Rapidly prototype solutions to validate feasibility, demonstrate value, and accelerate stakeholder buy-in
- Own the end-to-end codebase. Backend services, frontend interfaces, APIs, Terraform IaC development, setup and deployment pipelines
- Design and optimize data-heavy applications that handle large-scale datasets with low latency and high reliability
- Build and maintain integrations across enterprise platforms including identity providers, internal APIs, and shared services operating at scale across multiple business lines
- Leverage GenAI-assisted coding tools and agentic frameworks to accelerate development velocity while maintaining code quality and best practices
- 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
Skills
- Partner directly with business stakeholders to translate functional requirements into technical designs, system architectures, and data flow diagrams without hand-holding
- Rapidly prototype solutions to validate feasibility, demonstrate value, and accelerate stakeholder buy-in
- Own the end-to-end codebase. Backend services, frontend interfaces, APIs, Terraform IaC development, setup and deployment pipelines
- Design and optimize data-heavy applications that handle large-scale datasets with low latency and high reliability
- Build and maintain integrations across enterprise platforms including identity providers, internal APIs, and shared services operating at scale across multiple business lines
- Leverage GenAI-assisted coding tools and agentic frameworks to accelerate development velocity while maintaining code quality and best practices
- 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
- Python (advanced) — Flask, FastAPI
- JavaScript/TypeScript — React, Next.js, modern frontend frameworks
- HTML5, CSS3, Tailwind CSS or equivalent utility-first CSS frameworks
- RESTful API design
- Cloud Run, Cloud Functions
- BigQuery for large-scale analytics
- Cloud SQL (PostgreSQL)
- Cloud Storage
- Cloud IAM, VPC, networking fundamentals
- Gemini
- Google ADK
- APIGEE
- Terraform for provisioning and managing cloud infrastructure
- GitLab repositories, branching strategies, and GitLab CI/CD pipelines
- Container orchestration, deployment automation, and environment promotion workflows
- 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
- 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
- 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
- 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
Company Overview