Senior Full-Stack Ai Engineer

About the RoleWe are looking for a Senior Full-Stack AI Engineer to turn validated proofs of concept, experimental scripts, and early-stage AI or automation solutions into secure, scalable, and reliable production applications. You will take ownership of solutions end-to-end: from understanding business needs and shaping requirements to architecture, full-stack development, cloud deployment, production support, and continuous improvement. The role combines modern full-stack engineering, Python backend development, cloud-native architecture, and applied AI. You will build web applications, APIs, integrations, automation workflows, and agentic AI systems using technologies such as LangChain and LangGraph. You will work closely with the CTO Office, FinOps, Operations, Sales, and Pre-Sales teams to turn loosely defined ideas into practical products that automate manual work and deliver measurable operational value. Initial initiatives may include FinOps automation, enterprise AI enablement, meeting assistants, internal productivity tools, and other AI-powered platforms. This is an end-to-end engineering role with a high degree of ownership. You will be expected to make pragmatic technical decisions, work independently, and operate solutions in production without relying on dedicated QA, DevOps, or SRE support for everyday delivery.Technical StackLanguages & Frameworks: Python (FastAPI, Django, Flask), TypeScript, Vue.js, React, Nuxt.js, Next.js, Vite, Tailwind CSSAI & Agentic Frameworks: LangChain, LangGraph, RAG, Multi-agent Orchestration, LLM Tool/Function Calling, MCP Servers, AI SkillsCloud & Serverless: AWS (Lambda, ECS/EKS, DynamoDB, S3, RDS, API Gateway), Amazon Bedrock, Azure AI FoundryData & Architecture: REST APIs, Relational (PostgreSQL, MySQL) and NoSQL DatabasesIaC & DevOps: GitHub Actions (Automated AI-assisted PR reviews), AWS CDK, Terraform, CloudFormation, Docker, KubernetesObservability & Operations: CloudWatch, Prometheus, ELK StackSecurity & Auth: OAuth 2.0, SAML, JWT, SSL/TLS, Secret ManagementAgentic Dev Tools: Cursor, Claude Code, Windsurf.ResponsibilitiesTurn Concepts into Reality: Transform CTO Office proofs of concept, scripts, and experimental solutions into scalable, production-ready applications.Drive Full Product Lifecycle: Own projects end-to-end - from initial discovery and system architecture to deployment, ongoing support, and iterative improvements.Bridge Tech and Business: Collaborate directly with the CTO Office, FinOps, operations, sales, and pre-sales stakeholders to translate loosely defined business needs into concrete technical designs.Architect Modern Platforms: Build responsive frontends, robust Python backends, APIs, system integrations, and automated workflows using AWS serverless and containerized services.Engineer Advanced AI Workflows: Build agentic systems using LangChain and LangGraph, covering RAG, tool calling, multi-agent orchestration, custom MCP servers, and reusable internal AI capabilities.Ensure Operational Excellence: Establish CI/CD pipelines with GitHub Actions, write infrastructure as code, implement automated testing, and set up comprehensive logging, monitoring (CloudWatch/ELK), and failure recovery.Enforce Production Security: Securely manage authentication (OAuth 2.0/SAML/JWT), secret storage, certificates, and strict access controls.Set Engineering Standards: Define pragmatic development guidelines for the CTO Office function, document systems clearly, and transparently communicate risks and trade-offs.QualificationsProduction Experience: 5+ years of full-stack engineering experience, with a proven track record of independently designing, deploying, and operating software in production.Prototype Refactoring Mastery: Strong ability to take unorganized scripts, legacy code, or early-stage prototypes and refactor them into maintainable production systems.Frontend & Backend Proficiency: Deep expertise in Python (FastAPI preferred) alongside modern TypeScript/JavaScript frameworks (Vue.js or React).AWS & Infrastructure Expertise: Hands-on experience building, scaling, and managing workloads on AWS infrastructure using IaC tools (Terraform/CDK).Hands-on Agentic AI Capabilities: Production experience with LangChain, LangGraph, agent orchestration, tool integration, RAG, and error recovery in non-deterministic AI systems.DevOps & Automation Mindset: Solid understanding of CI/CD pipelines (GitHub Actions), Docker/Kubernetes, and practical experience using modern AI developer tools (Cursor, Claude Code, Windsurf).High Autonomy & Ownership: Ability to deliver reliably without dedicated QA, DevOps, or SRE teams, navigating ambiguity and challenging unsafe or unclear requirements constructively.Strong System Design: Deep knowledge of distributed systems, database design (relational and NoSQL), design patterns, and enterprise security standards.What’s in it for YouReveal great tech solutions.#J-*****-Ljbffr

Production Experience: 5+ years of full-stack engineering experience, with a proven track record of independently designing, deploying, and operating software in production. Prototype Refactoring Mastery: Strong ability to take unorganized scripts, legacy code, or early-stage prototypes and refactor them into maintainable production systems. Frontend & Backend Proficiency: Deep expertise in Python (FastAPI preferred) alongside modern TypeScript/JavaScript frameworks (Vue.js or React). AWS & Infrastructure Expertise: Hands-on experience building, scaling, and managing workloads on AWS infrastructure using IaC tools (Terraform/CDK). Hands-on Agentic AI Capabilities: Production experience with LangChain, LangGraph, agent orchestration, tool integration, RAG, and error recovery in non-deterministic AI systems. DevOps & Automation Mindset: Solid understanding of CI/CD pipelines (GitHub Actions), Docker/Kubernetes, and practical experience using modern AI developer tools (Cursor, Claude Code, Windsurf). High Autonomy & Ownership: Ability to deliver reliably without dedicated QA, DevOps, or SRE teams, navigating ambiguity and challenging unsafe or unclear requirements constructively. Strong System Design: Deep knowledge of distributed systems, database design (relational and NoSQL), design patterns, and enterprise security standards.