31 jul
|
fulcrumdigital
|
Nezahualcóyotl
31 jul
fulcrumdigital
Nezahualcóyotl
Overview The Team is looking for an exceptional Senior Software Engineer to help build the next generation of intelligent, agentic applications and engineering platforms. This is a high-impact role for a hands-on engineer who combines deep software engineering expertise with a passion for AI, innovation, and practical problem solving. You will design and build scalable, production-grade systems that leverage AI, agentic workflows, and modern developer tooling to accelerate product delivery and improve engineering productivity across the full product development lifecycle. You will work at the intersection of software engineering, AI capability development, developer experience, and platform innovation—turning emerging technologies into secure, reliable, and reusable capabilities that create measurable business value. We are looking for someone who is curious, entrepreneurial, and energized by solving hard problems. The ideal candidate brings strong ownership, analytical thinking, and a continuous-learning mindset, and is excited to explore new tools, challenge conventional approaches, and raise the bar for how modern software is built. This is a hands-on role for an engineer who is deeply engaged in applying agentic patterns to real products, platforms, and developer workflows. You will help create the services, frameworks, and reusable engineering patterns that enable teams across our client to experiment faster, deliver with confidence, and scale AI-enabled solutions responsibly.
Position Responsibilities Design, build, and evolve intelligent, agentic applications and platform capabilities that solve meaningful business problems at scale
Apply AI and agentic development patterns to improve engineering productivity across design, coding, testing, debugging, documentation, release engineering, and operational support
Use modern tools and coding assistants thoughtfully to accelerate delivery while maintaining strong standards for quality, security, reliability, and maintainability
Partner with product, data science, and engineering teams to translate ideas into production-grade solutions with clear business impact
Drive technical innovation by evaluating emerging tools, frameworks, and engineering practices, and identifying where they can create differentiated value
Build reusable frameworks, services, and internal developer capabilities that improve developer experience and reduce delivery friction across teams
Lead by example through hands‑on engineering, sound technical judgment, and a strong bias for execution and ownership
Solve complex technical problems with creativity, analytical rigor,
and a pragmatic approach to trade‑offs and delivery
Improve software development lifecycle efficiency through automation, AI‑assisted workflows, and engineering excellence
Ensure AI-enabled systems are production‑ready, observable, secure, governable, and resilient in enterprise environments
Influence architecture, engineering standards, and best practices for building scalable modern applications in cloud‑native ecosystems
Continuously learn, experiment, and help elevate team capability in emerging AI and software engineering techniques
Adecuado Candidate Qualifications 7+ years of strong software engineering experience building scalable, maintainable, production‑grade systems
Hands‑on experience building applications or platforms using Generative AI, or agentic design patterns
Strong understanding of agent orchestration, tool use, prompt and context management, memory patterns, evaluation, and AI system design trade‑offs
Experience taking AI-enabled solutions from prototype to production with sound engineering discipline across reliability, observability, latency, cost, security, and governance
Practical experience using AI coding and engineering assistants to improve productivity across the software development lifecycle
Experience improving PDLC and SDLC efficiency through automation, CI/CD, automated testing, and AI-assisted engineering workflows
Strong programming skills in one or more backend languages such as Java and Python, with the ability to write high‑quality, well‑tested, production-ready code
Experience building services in cloud-native environments using Kubernetes and managed cloud services on AWS, Azure
Good understanding of APIs, distributed systems, event‑driven architectures, data pipelines, and enterprise integration patterns
Experience with modern AI frameworks, SDKs, and tools for building AI applications, agent workflows, and developer productivity solutions
Strong problem‑solving and analytical skills, with the ability to break down ambiguity and turn ideas into practical, scalable solutions
Demonstrated innovative mindset with curiosity to learn new technologies, evaluate emerging tools, and apply them where they create value
Strong sense of ownership and accountability, with the ability to independently drive initiatives from concept to delivery
Excellent collaboration and communication skills, with experience working across engineering, product, AI, and business stakeholders
Experience with modern front-end frameworks such as React and/or Next.js is beneficial
Familiarity with inference APIs, embeddings, retrieval-augmented generation, model evaluation, and AI safety controls is preferred
All About You You thrive on building innovative products, platforms, and engineering capabilities that solve real-world problems at scale
You are hands‑on, highly curious, and energized by learning new tools, technologies, and ways of working
You actively leverage AI tooling to enhance productivity, improve quality, and accelerate software delivery
You bring a strong ownership mindset and take accountability for outcomes, not just tasks
You are a creative and analytical problem solver who can navigate ambiguity and turn complex challenges into elegant solutions
You are excited by the opportunity to build and scale agentic applications and AI-enabled engineering capabilities in real production environments
You balance speed with engineering discipline and care deeply about security, resilience, quality, and maintainability
You have a product mindset and care about user impact, developer experience, and continuous improvement
You communicate clearly, collaborate effectively across functions, and help raise the bar for those around you
You enjoy experimenting, challenging assumptions, and helping shape the future of modern software engineering
Must-Have Strong proficiency in Java, Python, or similar backend languages
Hands‑on experience building agentic or AI-enabled applications
Strong understanding of APIs, distributed systems, event-driven architectures, and enterprise integration patterns
Experience with React or Next.js
Experience with cloud-native development using Kubernetes and managed cloud platforms such as AWS or Azure
Experience with CI/CD, automation, and engineering productivity tooling
Familiarity with modern AI frameworks, SDKs, and tools for building intelligent applications and agent workflows
Good to Have Practical use of AI coding assistants to improve delivery speed and quality
Familiarity with LLM orchestration, prompt and context management, memory patterns, inference APIs, embeddings, retrieval-augmented generation, vector databases, model evaluation, AI observability, and responsible AI controls
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📌 Senior Software Engineer (Nezahualcóyotl)
🏢 fulcrumdigital
📍 Nezahualcóyotl