Full Stack Engineer (FDE)
Role details
Job location
Tech stack
Requirements
Do you have experience in Software troubleshooting?, We are looking for a mid-level software engineer who is eager to grow into a Solution Engineer, working on AI-enabled automation solutions in real client environments. This role is perfect for someone who thrives in translating ambiguous business needs into practical, scalable solutions, leveraging APIs, data flows, and AI-assisted tools while collaborating with both technical and non-technical stakeholders.
Candidates should already have strong software engineering fundamentals, and through our structured training program, you will gain hands-on experience with our platform, solution patterns, and AI-driven development practices. Beyond building solutions, this role offers a clear pathway to evolve into a Forward Deployed Engineer (FDE), representing the next generation of software engineers in the AI era, embedding directly with clients to design, build, and deploy impactful, intelligent systems., * 3-5 years of professional software development experience
- Strong JavaScript and/or TypeScript skills
- HTML / CSS basics
- HTTP request/response patterns
- Experience working with REST APIs
- Comfort with JSON and data modeling
- Experience with Node.js
- Experience with SQL and NoSQL databases
- Debugging and troubleshooting ability
- Git and basic development workflows
- Experience with API integrations or workflow/business logic
- Basic authentication / authorization concepts
- Structuring business logic and data transformations, * Experience with workflow automation tools
- Experience with low-code / flow-based platforms
- Experience building AI-enabled features
- Experience in client-facing implementation projects
- Experience with authentication, webhooks, or event-driven integrations
- Experience creating technical documentation
- Experience working in Scrum/agile teams, * Writing precise prompts and requirements
- Breaking vague business problems into smaller automatable tasks
- Using AI for scaffolding, transformation logic, documentation, and test data generation
- Reviewing AI-generated code critically
- Debugging AI-generated output
- Keeping AI-assisted work modular and understandable
- Knowing when to rely on AI and when to manually validate architecture, security, and data design
Soft skills and work habits
The most important soft skills are:
- Clear written and spoken English
- Clear communication
- Strong ownership
- Proactivity
- Ability to work collaboratively and ask clarifying questions
- Willingness to communicate blockers early
- Comfort with ambiguity
- Structured problem solving
- Adaptability
- Teamwork
- Creativity
- Fast learning
- Attention to detail
- Ability to receive feedback without defensiveness
- Willingness to work from our headquarters in Morelia (On-site)