Design, build, and deploy production-grade AI applications, agents, retrieval systems, integrations, and workflows for enterprise customers. Lead technical discovery, architecture workshops, prototyping, troubleshooting, deployments, and go-live support. Translate customer needs into scalable solutions and reusable engineering patterns, while providing product feedback that informs roadmaps. Partner with Product, Sales Engineering, Customer Success, and Engineering teams, and mentor customer-facing engineers. Travel to customer sites as needed.
Unlock Your Future with Nexaminds!
At Nexaminds, we're on a mission to redefine industries with AI. We're passionate about the limitless potential of artificial intelligence to transform businesses, streamline processes, and drive growth.
Join us on our visionary journey. We're leading the way in AI solutions, and we're committed to innovation, collaboration, and ethical practices. Become a part of our team and shape the future powered by intelligent machines. If you're driven by ambition, success, fun, and learning, Nexaminds is where you belong.
Nexaminds is looking for a Senior/Principal AI Forward Deployed Engineer to work at the intersection of engineering, product, and customers. In this role, you'll work directly with customer teams to design, build, and deploy AI-powered solutions using modern LLM and agentic technologies. You'll turn ambiguous business and technical challenges into production-ready systems while helping shape product and engineering priorities based on real-world customer needs.
Location: Mexico (Remote)
Qualifications we are looking for:
- 8+ years of professional software engineering experience, with significant experience building and deploying production systems.
- Hands-on experience working with LLMs and modern AI/agentic architectures, including prompting, evaluation, retrieval, tool use, and orchestration.
- Proven experience working directly with customers or internal stakeholders to define ambiguous problems and deliver production-ready solutions.
- Strong full-stack engineering capabilities, with experience across backend systems, APIs, integrations, and data pipelines.
- Experience designing and building scalable, production-grade AI-powered applications.
- Strong understanding of software architecture, cloud technologies, APIs, integrations, and distributed systems.
- Excellent communication skills, with the ability to lead technical discussions and workshops with both engineering teams and business stakeholders.
- Strong ownership and problem-solving skills, with a bias toward action and iterative delivery.
- Comfortable working independently in ambiguous, fast-paced environments and managing multiple projects simultaneously.
- Willingness to travel to customer sites as needed.
- Proven experience partnering with business and technical stakeholders to understand business goals, processes, and challenges, translate them into technical requirements, and deliver practical, production-ready solutions.
Nice to have:
- Experience in Forward Deployed Engineering, Solutions Engineering, or Field Engineering within an enterprise software or AI company.
- Experience deploying AI solutions in regulated or complex enterprise environments.
- Familiarity with security reviews, data governance, and legacy system integrations.
- Experience with AI evaluation frameworks, vector databases, RAG, or AI orchestration platforms.
- Proven experience providing product feedback that directly influenced product or engineering roadmaps.
Job duties:
- Work directly with customers as a technical owner to understand their data, workflows, systems, and business requirements.
- Design and build production-grade AI applications, integrations, pipelines, and workflows that connect Nexaminds' AI/LLM capabilities with customer systems.
- Rapidly prototype AI solutions with customers, gather feedback, and transform successful prototypes into reliable production systems.
- Integrate LLMs, AI agents, retrieval systems, tools, and orchestration workflows into customer environments.
- Diagnose and resolve complex technical issues across AI models, infrastructure, integrations, and customer-specific systems.
- Lead technical workshops and architecture discussions with customer engineering and technical leadership.
- Establish reusable technical patterns, components, and best practices across multiple customer deployments.
- Act as the technical voice of the customer internally, translating field learnings into actionable feedback for Product and Engineering.
- Partner with Product, Sales Engineering, Customer Success, and Engineering teams to ensure successful customer deployments.
- Mentor other forward-deployed and customer-facing engineers and help raise technical standards across the team.
- Support customer go-live milestones and travel to customer sites when required.
What you can expect from us
Here at Nexaminds, we're not your typical workplace. We're all about creating a friendly and trusting environment where you can thrive. Why does this matter? Well, trust and openness lead to better quality, innovation, commitment to getting the job done, efficiency, and cost-effectiveness.
- Stock options 📈
- Remote work options 🏠
- Flexible working hours 🕜
- Benefits above the law
- But it's not just about the work; it's about the people too. You'll be collaborating with some seriously awesome IT pros.
- You'll have access to mentorship and tons of opportunities to learn and level up.
Ready to embark on this journey with us? 🚀🎉 If you're feeling the excitement, go ahead and apply!
Similar Jobs
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Provide actuarial and analytical support for pet insurance products, including rate indications, filings, profitability analysis, trend research, and rate strategy recommendations. The role involves manipulating data, building simple models, communicating findings to stakeholders, supporting cross-line initiatives, and improving actuarial processes. Participants rotate through actuarial disciplines while progressing toward ACAS or FCAS and completing required Casualty Actuarial Society exams.
Top Skills:
ExcelSAS
Cloud • Software
Support technical sales for Cisco ThousandEyes across Texas by prospecting, demonstrating solutions, guiding trials, architecting deployments, presenting to decision-makers, and building trusted customer relationships. Collaborate with sales, marketing, product, engineering, and customer success teams; contribute to events, technical content, solution feedback, beta programs, and post-sales enablement.
Top Skills:
Apple Operating SystemsApplication And Network Performance AnalysisBgpCisco ThousandeyesDnsHTTPJavaScriptLinuxMicrosoft Operating SystemsPacket AnalysisPerlPythonTcp/IpUnified Communications
Cloud • Machine Learning • Other • Software
Own end-to-end customer onboarding and implementation for Stream’s AI Moderation product, including policy design, configuration, testing, integrations, and go-live. Continuously tune moderation systems by analyzing false positives and negatives, investigate escalations, train Trust & Safety teams, and create enablement materials. Partner with Sales, Solutions Engineering, Product, and Engineering to support pilots, improve customer outcomes, and inform the roadmap. The role requires technical customer engagement, project management, analytics, communication, and willingness to review harmful content.
Top Skills:
Ai ModerationAPIsWebhooks
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
