20 publicaciones de empleo destacadas de full stack engineer en ciudad de méxico (¡Están contratando!)

Software Engineer - AI Accelerated Development
Signant Health —Ciudad de México, CDMX
- Azure
- Administración de personal
- Contratos
Frontend Engineer (Contract) - Remote
Tech Holding —Ciudad de México, CDMX
- Home Office (Desde casa)
- Administración de personal
- Inglés
- JavaScript
Postulación rápida
Lead Full Stack Software Eng. (Lead Mobile)
MetLife —Ciudad de México, CDMX
- Tiempo completo
- Azure
- DevOps
- Ingeniería
- Seguro de vida
5d
Senior Software Engineer
Impulse latam —Miguel Hidalgo, CDMX
- $70,000 a $85,000 por mes
- Tiempo completo
- Inglés
- JavaScript
- Python
Postulación rápida
Full-Stack Developer
Aviva Financiera —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Azure
- JavaScript
- Experiencia en manufactura
Postulación rápida
Software Tester / QA Engineer – Mexico
International Talent Resources Inc. (ITR) —Ciudad de México, CDMX
- Tiempo completo
- Salesforce
Full Stack Developer
Kyndryl —Ciudad de México, CDMX
- Tiempo completo
- Azure
- DevOps
- Inglés
Senior Full Stack Engineer (Python/React)
Forager —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Administración de personal
- DevOps
- Sin título de educación superior
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
Junior Full-Stack Java Developer – Contact Center Technologies
Sutherland —Ciudad de México, CDMX
- Azure
- Administración de personal
- Inglés
Software Engineer, Compilers, Runtimes and Toolchains, Early Career
Google —Ciudad de México, CDMX
- Inglés
- C++
- Licenciatura
Senior Software Engineer (Mexico)
Sezzle —Ciudad de México, CDMX
- $5,000 a $9,500 por mes
- Tiempo completo
- Home Office (Desde casa)
- Informática
- DevOps
- Java
Lead Software Engineer - Full Stack Engineer
Capital One —Ciudad de México, CDMX
- Correo electrónico
- Azure
- Java
- Maestría
Full Stack Developer
Darwin AI —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Inglés
- JavaScript
- Python
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
Mid. Design & Release Engineer (Engine)
Segula Technologies —Ciudad de México, CDMX
- Tiempo completo
- Bilingüe
- Administración de personal
- CAD
Postulación rápida
Principal Software Engineer
Sezzle —Ciudad de México, CDMX
- $6,000 a $11,000 por mes
- Tiempo completo
- Home Office (Desde casa)
- Informática
- DevOps
- SQL
Fullstack AI Software Engineer - LATAM
Futureproofing —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- JavaScript
- Python
MEX - Full-Stack Developer
Tidal —Ciudad de México, CDMX
- $3,000 a $6,000 por mes
- Tiempo completo
- Inglés
- Experiencia en bases de datos
- JavaScript
Postulación rápida
Product & Engineering Leader
Interfell C.A —Ciudad de México, CDMX
- $70,000 a $90,000 por mes
- Tiempo completo
- Home Office (Desde casa)
- Azure
- JavaScript
- Sin título de educación superior
Postulación rápida
IoT Full Stack Developer
NTT Ltd —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Informática
- DevOps
Software Engineer, Languages and Platforms
Google —Ciudad de México, CDMX
- Inglés
- C++
- Licenciatura
6d

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Software Engineer - AI Accelerated Development

Signant Health -
Ciudad de México, CDMX

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Información del empleo

Cualificaciones

ASP.NET
Azure
Administración de personal
Derecho
ASP.NET Core
C#
.NET
Contratos
Python

Descripción completa del empleo

About Signant Health
At Signant Health, we help bring life-changing treatments to patients faster. We are a global evidence generation company that supports clinical trials with smart technology, scientific expertise, and hands-on operational support — so better data leads to better decisions in healthcare. We embrace AI and advanced technologies to enhance every aspect of what we do, from data analysis to operational efficiency.

Our teams work at the intersection of science, technology, and patient experience, delivering digital solutions powered by AI innovation that make clinical trials more efficient, more accurate, and more accessible around the world. Trusted by leading pharmaceutical companies and CROs, our platforms and services support studies across more than 90 countries and have contributed to hundreds of new drug approvals.

If you are motivated by meaningful work, global impact, and innovation in clinical research and digital health — including the opportunity to work with cutting-edge AI technologies — you will find purpose and opportunity at Signant Health.

About the Role
Signant Health is looking for a Software Engineer – AI Accelerated Development to build AI-powered, agentic features into our clinical trial platforms. Working across the .NET stack, you will take AI capabilities from backend LLM integration through to a usable front-end — designing agents and agentic workflows, not just prompting a model. This is a hands-on engineering role for someone who works with agentic tooling every day and wants to ship production AI in a regulated, high-impact environment. We weigh the depth of your AI and agentic build experience more heavily than years of general experience: a developer with one to three years of substantive, hands-on agentic work is exactly the profile we are targeting.
KEY ACCOUNTABILITIES – Function

Design and build AI agents and agentic workflows — tool-use/function calling, multi-step task orchestration, and agent loops — that power Signant Health's clinical trial platforms.
Integrate LLM APIs (Anthropic, OpenAI, Bedrock, or Azure OpenAI) into .NET application code, handling authentication, streaming, error handling, and cost/latency tradeoffs.
Deliver AI features end-to-end, taking them from backend integration through to a usable, production-ready front-end.
Build custom agents and tools with the Claude Agent SDK, wiring and steering agent loops.
Author custom skills and slash commands for Claude Code to codify team-specific workflows.
Implement RAG pipelines and integrate vector stores (e.g. Qdrant, pgvector, Pinecone) to ground agent outputs in trusted data.
Instrument agents for evaluation and observability so their outputs can be verified, measured, and audited.
Apply AI-specific risk controls appropriate to a regulated clinical environment, addressing hallucination, determinism, and auditability of agent decisions.
Use Claude Code (or an equivalent agentic CLI) daily as a primary development tool, reviewing and steering AI-generated diffs.

KNOWLEDGE, SKILLS & ATTRIBUTES

Essential:

Full-stack .NET development — C#/ASP.NET Core on the backend paired with a modern front-end framework.
Hands-on agentic development experience — building AI agents or agentic workflows (tool-use/function calling, multi-step task orchestration, agent loops); not just prompting an LLM, but building systems around one.
Practical LLM API integration (Anthropic, OpenAI, Bedrock, or Azure OpenAI), including authentication, streaming, error handling, and cost/latency tradeoffs.
Proven full-stack delivery of AI features — able to take an agentic/AI feature from backend integration through to a usable front-end, not just a notebook prototype.
Daily, hands-on use of Claude Code (or an equivalent agentic CLI) as a primary development tool — comfortable working through multi-step agentic sessions and reviewing and steering AI-generated diffs, rather than occasional autocomplete-style use.
Prompt engineering — designing and iterating on system prompts as production software contracts, not one-off experiments.
Python proficiency as the preferred language for AI/agent tooling; comfort with async patterns a plus.
Evaluation and observability literacy — able to reason about whether an agent's output is correct and instrument it to prove so.

Desirable:

Claude Agent SDK experience — building custom agents, defining tools, and wiring agent loops.
Working knowledge of agent primitives: hooks (deterministic pre/post-tool-call controls), skills (progressive-disclosure, load-on-demand instructions), subagents/multi-agent delegation, and session/state management.
Experience authoring custom skills or slash commands for Claude Code to codify team-specific workflows.
Exposure to MCP (Model Context Protocol) for connecting agents to internal tools and data sources.
Working knowledge of RAG patterns and vector store integration (e.g. Qdrant, pgvector, Pinecone).
Awareness of AI-specific risk areas relevant to a regulated environment (OWASP LLM Top 10, hallucination/determinism concerns, and auditability of agent decisions).

Why Signant Health?
At Signant Health, your work has real impact. Everything we build, support, and deliver helps advance clinical research and bring new treatments to patients faster — improving lives around the world. Our teams combine science, technology, and operational expertise to solve complex clinical trial challenges, and every role contributes to that mission.
We offer a collaborative, global environment where you can grow your career while working alongside experts across clinical, technology, data, and operations, with opportunities to learn, take ownership, and drive meaningful innovation — not just maintain the status quo.
If you are looking for purpose-driven work, smart colleagues, and the opportunity to help shape the future of clinical research and digital health, Signant Health is the place to do it.

At Signant Health, accepting difference isn't enough — we celebrate it, we support it, and we nurture it for the benefit of our team members, our clients, and our community. We are proud to be an equal opportunity workplace and an affirmative action employer, committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or veteran status. Prior to their start date, all candidates are required to be verified through a thorough background check and identity verification to confirm eligibility for employment.
Unsolicited resumes submitted by agencies or third-party recruiters directly to hiring managers or any Signant Health employee will not be considered and will not obligate Signant Health to any fees or terms associated with the submission.
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