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LURECRUITER

Sr Full Stack Engineer - Agentic AI

Remote — United States (see country and timezone requirements)

Check who can apply and the requirements below before continuing.

Job description

About the Role

We are looking for a Senior Full-Stack Engineer to join an embedded, outcome-focused engagement inside the client's engineering organization. This is a hands-on individual contributor role with an explicit second dimension: acting as a thought leader for the team's agentic engineering workflow — helping evolve the process, build out the team's AI tooling and skills, and model the right way to work AI-first.

The core mission: get up to speed on the product fast, ship meaningfully across an Angular front-end and .NET backend, and anchor the team's transition to aspec-driven, AI-first development lifecycle.

What You Will Work On

Build and maintain customer-facing web applications — Angular front-end,.NET backend APIs, SQL Server database, hosted in Azure.

Work spec-driven inside a Kanban SDLC: build AI-assisted implementation plans from specs, implement with agentic coding tools, and concentrate your judgment on planning, spec review, and code review.

Act as the team's agentic-workflow thought leader: evolve the development process, extend the team's AI plugin/skills, evaluate tooling, and coach teammates on working AI-first.

Optimize the application stack for efficiency, reliability, scalability, and security.

Write SQL queries and work comfortably with relational data behind the product.

Collaborate with Product, Development, and QA; communicate status, risks, and technical trade-offs clearly — including to non-technical audiences.

What We Are Looking For

C# / .NET (5+ years, .NET 5+; current backend on .NET Core/.NET 8+).

Production backend/API engineering on the modern .NET stack — not maintenance-only legacy work.

TypeScript / Angular (3+ years, Angular 2+; product front-end currently on a recent Angular version).

Agentic AI development fluency.

Strong understanding of agentic codingtools and techniques — planning-first workflows, directing coding agentswith precise context, multi-model use, reviewing and hardening agentoutput. Production habit, not casual autocomplete use.

Product-level thinking.

Ability to work from specs at a higher level than the code — question requirements, plan technically, and translate businessintent into sound implementation.

Also required:

Experience writing SQL queries for SQL Server or other relational databases

Git, and familiarity with SDLC management tooling such as Azure DevOps;CI/CD understanding.

Excellent web app troubleshooting and debugging skills

Ability to break down technical language for non-technical audiences;strong written and verbal communication

Sense of ownership; able to work independently and as part of a team

What This Is Not

Not an ML or data-science role — the AI processing pipeline belongs to a different team; this seat builds product with agentic tooling.

Not a casual-AI role — using AI as an occasional assistant does not meet the bar; the workflow is AI-default.

Not a code-only executor role — spec-level and product-level thinking arecore to the job.

Not a DBA role — working SQL ability is required, deep database administration is not.

Why apply:

Work remotely from anywhere in Latin America.

Compensation in USD, 7k-8k.

Paid time off.

Work directly with business leaders and executive stakeholders across LATAM and the US.

Originally posted on Himalayas

Who can apply

Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.

Ready for your next step?Apply on the official website
Apply on Himalayas ↗

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