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Senior Full Sack & GenAI Developer
Mindlance
- 🇺🇸 United States
- Remote
- Senior
- 3 days ago
- Claude Code
- Machine Learning
- RAG
- AI
- Copilot
- React.js
- Python
- Terraform
- IaC
- ADK
- LangGraph
- CrewAI
- ServiceNow
- Flask
- FastAPI
- JavaScript
- TypeScript
- Next.js
- HTML5
- CSS3
- CSS
- REST API
- GCP
- Cloud Run
- Cloud Functions
- BigQuery
- Cloud SQL
- PostgreSQL
- IAM
- VPC
- Gemini
- Apigee
- Devops
- GitLab
- GitLab CI/CD
- SQL
- Vertex AI
- OpenAI
- Active Directory
- RBAC
- Okta
- Change Management
3 days ago
This Positions is Remote
Questions for Candidate: These questions along with their answers must be submitted with the resumes, if they are not your candidate will be rejected.
How do you use tools like Google Code Assist, Claude Code, or GitHub Copilot in your daily workflow? Give me a specific example of how it changed how you build.
The GenAI landscape changes weekly. Give me a recent example of a new framework, model, or pattern you evaluated and either adopted or decided against. What was your reasoning?
Have you ever worked on a project where you were responsible for everything, architecture, frontend, backend, infra and deployment? How did you manage?
Top 3 things to look for when reviewing resumes:
Hands-on experience of building enterprise-grade applications from scratch end to end, not just maintaining or contributing to existing codebases. Look for candidates who describe owning architecture decisions, standing up infrastructure, and shipping to production.
Hands-on GenAI and agentic AI experience, specifically multi-agent orchestration, RAG implementations, or production GenAI integrations. Keyword familiarity is not enough; look for descriptions of what they built and how it worked.
Active use of AI-driven development tools (Code Assist, Claude Code, Copilot) as part of their daily workflow, signals someone who builds with modern practices and velocity, not just traditional development patterns.
Experienced in React and Python/Fast API
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, LangGraph, 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 ServiceNow 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/TypeScript — 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
BigQuery for large-scale analytics
Cloud SQL (PostgreSQL)
Cloud Storage
Cloud IAM, VPC, networking fundamentals
Gemini
Google ADK
APIGEE
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
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), 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
EEO:
“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”
Senior Full Sack & GenAI Developer · Mindlance