Full Stack Engineerwith AI

Enexus Global
Mountain View, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Mountain View, United States of America

Tech stack

Java
ActiveMQ
Artificial Intelligence
Computer Programming
Data Structures
Cursor (Graphical User Interface Elements)
Database Design
Amazon DynamoDB
Enterprise Messaging Systems
MySQL
NoSQL
Scrum
Systems Development Life Cycle
SQL Databases
Cloud Platform System
Large Language Models
Spring-boot
Caching
Kubernetes
Information Technology
Cassandra
Kafka
GraphQL
REST
Microservices

Job description

  • Drive significant technical initiatives end-to-end, from functional requirements through technical specification, test planning, and production rollout
  • Act as the technical subject matter expert on agentic execution systems - solve through hard, unprecedented programming and design problems
  • Prototype and validate proofs of concept quickly; use AI-assisted development tools fluently as part of your own workflow, not just as a subject you build for
  • Generate technical documentation that communicates architectural and design tradeoffs clearly to both engineering teams and business stakeholders
  • Operate in Agile/Scrum cadences while retaining the independent judgment to make calls the backlog hasn't anticipated yet

Requirements

  • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience; 3+ years building cloud-based platforms or services
  • 8+ years developing systems/software for large-scale environments (Java, Springboot), with demonstrated ability to design for scale quickly rather than needing a decade to build the instinct
  • Hands-on experience building with AI: you've shipped something using LLM APIs, agentic frameworks, or AI-assisted coding tools as a core part of the system, not as an add-on. Comfortable reasoning about prompt-driven execution, model behavior under load, and the failure modes that come with non-deterministic systems
  • Fluent daily user of AI-assisted development tools (Claude Code, Cursor, Copilot, or similar) - this role expects you to build faster because of AI, and to bring that instinct to designing infrastructure where AI agents are the primary actor
  • Practical experience with microservices and messaging technologies (Micro services, REST, GraphQL, Kubernetes, Kafka, ActiveMQ) and database design across SQL (MySQL) and NoSQL (DynamoDB, Cassandra)
  • Some exposure to the cost/performance mechanics of running LLMs in production - rate limits, token economics, caching strategies, orchestration patterns - is a strong plus even without years of tenure in the space, since almost nobody has years of tenure here yet
  • Strong CS fundamentals: data structures, algorithms, and system design intuition that holds up with no reference architecture to copy
  • Working knowledge of TDD and SDLC practices, with the judgment to know when rigor matters and when speed does
  • A builder's bias toward shipping working prototypes over long design docs, balanced with the discipline to document architecture decisions clearly once validated
  • Self-starter who makes decisions independently in ambiguous, fast-moving conditions, and communicates clearly across technical and non-technical audiences
  • Comfortable working across global teams and time zones in a fast-paced, high-adaptability environment.

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