Machine Learning Engineer Remote Jobs in Texas (US)
This page tracks remote machine learning engineer openings that are location-eligible for Texas.
This page tracks remote machine learning engineer openings that are location-eligible for Texas.
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$110,200 - $224,000
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Role Description The AI Developer / AI Integration Engineer will be responsible for designing, building, and deploying AI-powered solutions across the company. This role bridges modern artificial intelligence capabilities with existing technology platforms — driving operational efficiency, enabling smarter workflows, and shaping how AI is applied across the organization. The ideal candidate is AI-native, a solid developer, and a systems thinker. - Design and deploy AI-powered workflows and automation across internal systems - Integrate LLM APIs (OpenAI, Anthropic, etc.) into operational platforms and internal tooling, with examples including: - Airtable Scripting & AI Automation - Microsoft 365 / Power Platform AI Enhancements - Custom Agent & RAG Pipeline Development - Build and maintain custom AI agents, automation pipelines, and retrieval-augmented generation (RAG) systems - Own the bridge between AI capabilities and the existing technology stack - Evaluate and prototype emerging AI tools for business relevance and operational fit - Collaborate with operations, sales, and leadership teams to identify and prioritize AI opportunities - Contribute to platform development features and maintain clean, well-documented code - Translate AI capabilities for non-technical stakeholders and gather real requirements from business teams - Maintain a running roadmap of AI enhancements tied to business goals and project timelines - Consistently exemplify established best practices, serving as the internal subject matter expert on applied AI Additional Responsibilities: - Provide team or company-wide AI training and education where applicable. - Create & manage technical documentation for all AI systems, integrations, and workflows. Qualifications - AI-Native Mindset: Deep familiarity with LLMs, prompt engineering, agents, tool use, and AI orchestration frameworks (LangChain, LlamaIndex, CrewAI, etc.) - Solid Development Foundation: Proficiency in Python and/or JavaScript. Comfortable building APIs, working with databases, and deploying to cloud environments as well as front end experience. Node JS, React. - Integration Experience: Track record connecting disparate systems via APIs, webhooks, or middleware. Experience with Airtable, Zapier, Make, or similar platforms is a plus - Platform Sensibility: Understands how internal tools and operational platforms are built and scaled. Can contribute to product thinking, not just feature execution - Cross-Functional Communicator: Can translate AI concepts for non-technical stakeholders and gather real requirements from business teams Requirements - The Employee’s performance will be measured and evaluated on meeting project deadlines, goals and objectives, quality and adoption of AI solutions delivered, cross-functional collaboration, 1% for the Planet participation, communication, and feedback. Benefits - This position requires passion for the space and a personal philosophy, “do whatever it takes to get the job done.”
Wir bringen Dir Planbarkeit und Wachstum durch digitale Vertriebsprozesse.
Role Description Für ein hochkarätiges, noch geheimes KI-Projekt suchen wir nun einen brillanten Full-Stack Entwickler. Wir bauen ein exklusives, abobasiertes KI-Produkt, das zahlenden Mitgliedern konversationellen Zugang zu den dokumentierten Prinzipien einer bekannten Persönlichkeit gibt. Das ist kein generischer Chatbot, sondern ein präzises Retrieval-Augmented Generation (RAG) System, das ausschließlich auf den verifizierten Inhalten unseres Klienten basiert. - RAG-Pipeline & KI: Architektur und Entwicklung der serverseitigen RAG-Pipeline, von der Query-Verarbeitung über Embedding und Vector Search bis zur Prompt Construction. - Full-Stack Entwicklung: Aufbau des Frontends und Backends, wobei sichergestellt wird, dass alle LLM-API-Calls strikt serverseitig bleiben. - Subscription & Payments: Integration eines 3-stufigen Abo-Modells inklusive 7-Tage-Trial via Stripe. Du implementierst robuste Webhook-Logiken zur Tier-Validierung direkt in der Datenbank. - Automatisierung (Data Ingestion): Aufbau einer Pipeline (z. B. via Make.com oder n8n), die automatisch neue Audio- und Videoinhalte transkribiert (Whisper API), bereinigt, in Chunks unterteilt und in die Vektordatenbank lädt. - Data Intelligence: Entwicklung eines internen Behavioral Analytics Dashboards, das Suchanfragen, emotionale Tonalität, Content-Gaps und Limit-Erreichungen in Echtzeit trackt. Qualifications - Tiefgehende Erfahrung in der Entwicklung moderner Full-Stack-Webanwendungen, idealerweise mit unserem präferierten Tech-Stack: Next.js (React) für das Frontend und Node.js (Express oder Next.js API Routes) für das Backend. - Praxiswissen im Aufbau von RAG-Systemen, dem Management von Vektordatenbanken (Pinecone oder Weaviate) und dem Umgang mit LLM-APIs (insbesondere Anthropic Claude Sonnet und OpenAI). - Sicherer Umgang mit PostgreSQL (z. B. via Supabase) und Authentifizierungslösungen wie Clerk oder Supabase Auth. - Erfahrung mit der sicheren Implementierung von Stripe (Abonnements, Dunning, Webhooks). - Hohe Sicherheitsbewusstsein: API-Keys und Rate Limits müssen zwingend serverseitig verarbeitet und durchgesetzt werden. - Die Fähigkeit, eigenverantwortlich in einem straffen 12-Wochen-Zeitplan (Build-to-Launch) zu arbeiten und technische Entscheidungen proaktiv mit unserem Project Lead abzustimmen. Benefits - 100% Remote: Arbeite flexibel von wo du willst. - Cutting-Edge Tech: Arbeite an einem echten, innovativen RAG-KI-System mit modernen LLMs und modernem Tech-Stack. - Verantwortung & Impact: Du bist maßgeblich für den Systemaufbau eines Produkts verantwortlich, das nach Launch eine hohe Sichtbarkeit haben wird. - Effizienz: Kurze Kommunikationswege direkt mit dem Project Lead. - Perspektive: Option auf eine langfristige Zusammenarbeit für Wartung und Weiterentwicklung nach dem erfolgreichen Launch.
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Role Description As an AI Engineer, you will design and implement advanced AI models and algorithms that drive our products and services. You'll work closely with data scientists and product teams to develop solutions that leverage machine learning, natural language processing, and more. Key Responsibilities - Design and develop AI models and algorithms to solve complex problems. - Collaborate with cross-functional teams to integrate AI capabilities into existing products. - Analyze large datasets to extract insights and improve model performance. - Stay current with industry trends and advancements in AI technology. Qualifications - Strong experience in machine learning frameworks (TensorFlow, PyTorch, etc.). - Proficiency in programming languages such as Python, Java, or C++. - Familiarity with natural language processing and computer vision techniques. - Excellent problem-solving skills and a passion for AI innovation. Benefits - Flexible Work Environment: Enjoy the freedom of remote work while engaging in groundbreaking AI projects. - Growth Opportunities: We believe in nurturing talent. Optional career coaching services are available to support your professional development at no risk—if you don't find it beneficial, there's no obligation to continue. - Dynamic Team Culture: Be part of a team that values creativity and collaboration, where your contributions are pivotal to our success. How to Apply If you're ready to push the boundaries of AI technology, we want to hear from you! Please send a message on Instagram to @genomiller26!
• Define technical strategy across multiple AI initiatives, driving architectural decisions, influencing product and research direction, and aligning engineering investments across teams to maximize long-term business and clinical impact. • Design, build, train, evaluate and improve advanced machine learning and LLM-based systems for patient and provider-facing products (e.g., conversational AI, personalization, user understanding, clinical decision support, chronic care management). • Own problems end-to-end: scope the problem with clinicians and product partners, build datasets and evaluations, iterate on modeling, and ship to production with the right monitoring and guardrails. • Develop robust evaluation frameworks — offline benchmarks, human-in-the-loop review, online experiments — that give us confidence our models are safe, accurate, and improving over time. • Build and improve the platform that lets the team move quickly: data pipelines, training and inference infrastructure, prompt and model management, and tooling for clinical reviewers. • Partner closely with clinicians, product, and engineering to translate medical and operational requirements into ML problems and ship measurable improvements to patient and clinician experience. • Set technical direction for your area, mentor other engineers, and raise the bar on engineering and scientific rigor. The scope of leadership scales with seniority. • Stay close to the literature and the rapidly evolving AI ecosystem; bring back what is most useful for our patients and our team.
• Lead the technical execution of complex AI initiatives, owning the design and delivery of solutions within a product or technical domain while partnering with senior engineers on broader architectural direction. • Design, build, train, evaluate and improve advanced machine learning and LLM-based systems for patient and provider-facing products (e.g., conversational AI, personalization, user understanding, clinical decision support, chronic care management). • Own problems end-to-end: scope the problem with clinicians and product partners, build datasets and evaluations, iterate on modeling, and ship to production with the right monitoring and guardrails. • Develop robust evaluation frameworks — offline benchmarks, human-in-the-loop review, online experiments — that give us confidence our models are safe, accurate, and improving over time. • Build and improve the platform that lets the team move quickly: data pipelines, training and inference infrastructure, prompt and model management, and tooling for clinical reviewers. • Partner closely with clinicians, product, and engineering to translate medical and operational requirements into ML problems and ship measurable improvements to patient and clinician experience. • Set technical direction for your area, mentor other engineers, and raise the bar on engineering and scientific rigor. The scope of leadership scales with seniority. • Stay close to the literature and the rapidly evolving AI ecosystem; bring back what is most useful for our patients and our team.
Build invincible apps.
• Work as a software engineer • Maintain and expand a deep understanding of agentic coding • Design and build agentic coding systems that we can trust to deliver high-quality outputs • Develop a deep understanding of AI application development patterns and techniques, including emerging approaches and architectures. • Take end-to-end ownership of new features, working with other teams to deliver exceptional reliability and a great developer experience. • Work with multiple programming languages: Python and TypeScript, Java, Go. • Serve as a domain expert on AI design patterns, collaborating with field staff to provide best-practices and canonical examples. • Work directly with our developer community to debug issues that need expert attention and get feedback on Temporal features and APIs. • Write public technical documentation describing Temporal concepts and APIs. • Go the extra mile to support a customer in need, on the rare occasion that our teams’ engineering expertise is needed. • Travel to meet your coworkers for a week once or twice a year. • Attend the occasional developer conference to talk about how great Temporal is (optional).
Do it all with Luxury Presence. Build your brand, expand your network, & close more deals.
Luxury Presence is building the AI growth platform for real estate. Backed by Bessemer Venture Partners and other top investors, we're a Series C company that has hit $100M in annual recurring revenue. More than 90,000 real estate professionals, including over 30% of the WSJ Real Trends top 100 agents in the United States, use us to run and grow their business. The OpportunityWe don't just use AI. We build with it, ship with it, and think with it. We're in the top 1% of companies applying AI effectively, not just to our products, but to how we build them. With an unlimited budget for Anthropic tokens, our engineers use AI agents to write, review, and ship production code every day. We're building toward a world where humans design systems and AI builds them, and we're already further along that path than almost anyone else. As a Staff Software Engineer, you'll be a technical leader at the center of this transformation. You'll shape platform architecture, drive AI-powered product delivery, and raise the bar for what a small, AI-augmented engineering team can accomplish. This is a role for someone who already lives in their terminal with AI, who has strong opinions about how AI changes system design, and who wants to help define what a next-generation engineering organization looks like. What You'll DoDrive large-scale technical initiatives. You'll take complex, cross-functional projects from concept through production, aligning architecture decisions with business goals and shipping outcomes that matter. Ship AI-native product experiences. Working closely with product, design, and AI teams, you'll deliver intelligent features that leverage LLMs, agent frameworks, and real-time data to transform how real estate professionals run their businesses. Lead system design in an AI-native codebase. You'll own the architecture of critical platform capabilities, from our AI-powered site builder pipeline to our multi-tenant infrastructure serving thousands of real estate businesses. You'll set patterns that other engineers follow. Define how we build, not just what we build. You'll shape our engineering standards, review practices, and developer tooling. You'll have a direct hand in evolving how AI agents integrate into our development workflow. Mentor and elevate engineers across the org. Staff Engineers at LP are force multipliers. You'll raise the technical bar across teams, coach engineers through hard design problems, and influence career growth. What We're Looking ForAttributes - You already build with AI daily. You use Claude Code as a core part of your workflow, not as a novelty - You have strong opinions, loosely held, about how AI changes software architecture, team structure, and engineering culture - You think in systems. You connect technical decisions to customer outcomes and long-term business value - You communicate clearly and directly. You can explain complex tradeoffs to product, design, and executive stakeholders - You're energized by ambiguity and speed. You thrive in a fast-growing company where the roadmap evolves and ownership is real - You like to have fun at work. We take our craft seriously, but we don't take ourselves too seriously. We celebrate wins, crack jokes, and genuinely enjoy building together Skills and Experience - 8+ years of professional software engineering experience, with meaningful time in senior or staff-level roles - Deep expertise in TypeScript, Node.js, and React - Experience designing and operating scalable microservice architectures in cloud-native environments (AWS preferred) - Strong understanding of GraphQL, event-driven systems (Kafka, SQS), and distributed databases (PostgreSQL, DynamoDB, Elasticsearch) - Proven track record leading high-impact initiatives from concept through production in a SaaS environment - Expert-level grasp of software design principles and experience with multi-tenant platform architectures Tech Stack - Frontend: React, Tailwind, Apollo - Backend: Node/TypeScript Microservices - Data: Postgres, Redis, Elasticsearch - Infrastructure: AWS, Kubernetes, Lambda, Temporal - Messaging: Kafka, SQS Join us in shaping the future of real estate The real estate industry is in the midst of a seismic shift, and the future belongs to those who break new ground. As one of the fastest-growing companies in the proptech and marketing sectors, Luxury Presence challenges the status quo of what technology can do for real estate agents, leaders, and brokerages. We're a team of agile and tenacious innovators working collaboratively to drive the industry forward. Together, we build game-changing products that empower modern real estate entrepreneurs to dominate their markets. From award-winning web design to agile SEO solutions to cutting-edge AI tools, we deliver tech that anticipates market shifts and keeps our clients ahead of their competition. Founded in 2016 by Stanford Business School alum Malte Kramer, Luxury Presence has grown to a global team ranked on the Inc. 5000 fastest-growing companies list three years in a row. We're backed by world-class investors, including Bessemer Venture Partners, NextEquity Partners, Toba Capital, and Switch Ventures, and have raised $89 million to date. More than 18,000 real estate businesses rely on our platform, including 30% of the Wall Street Journal RealTrends top agents and teams. Additionally, many of the industry's most powerful brokerages rely on Luxury Presence as a trusted business partner. Every year since 2020, Luxury Presence has ranked on BuiltIn's Best Place to Work lists. HousingWire named our founder and CEO a 2024 Tech Trendsetter, we've received several Tech100 Awards, and we just scored an Inman Innovation Award for Best AI-Powered Platform. Luxury Presence is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.
We transform workforces today to power the data economy of tomorrow. | #6 on LinkedIn's Top Startups 2022 list
• Deliver engaging, effective live sessions (virtual, via Microsoft Teams) covering AI-augmented full-stack development: agentic workflows, spec-driven development, Claude Code, GitHub Copilot, governance and compliance in AI-assisted engineering • Adapt delivery based on both evolving content (the underlying engineering platform is being built in parallel) and learner needs — reading the room to calibrate depth for beginners vs. more advanced participants • Review pre-work to understand where the cohort is struggling, then focus live time on the hard parts • Collaborate with SMEs and curriculum designers to stay current on what's being taught and why
• Architect and build production systems across a multi language stack: C#/.NET services, Python AI and data pipelines, and occasional TypeScript • Set the example for an AI forward, high technical standard across the broader engineering organization, leading through craft rather than organization wide authority • Design and drive adoption of offline evaluation frameworks (test suites, golden datasets, regression harnesses wired into CI/CD) for LLM based and other non deterministic components • Build online evaluation and monitoring that continuously assesses live model and system behavior in production, including drift and regression detection • Partner with engineering leadership to surface systemic risks in AI features, such as reliability, correctness, and drift, and drive the fixes • Lead architecture reviews for major initiatives and mentor senior and staff engineers on system design, evaluation methodology, and AI forward practices • Prototype and ship new AI capabilities
We’re the technology workforce development company that helps individuals and organizations transform with tech skills.
• Serve as the owner of Pluralsight’s expert point of view which forms the foundation of these offerings. • Design solution products to scope the offering, its audience, problem it addresses, business outcome it enables, structure, and milestones. • Identify frameworks, messaging, courses, hands-on labs, and program management needed to deliver successful customer outcomes. • Maintain and communicate a 12–18 month roadmap related to your solutions, including new levels, variants, and accelerators tied to market shifts in AI. • Systematically test and iterate solution design using experiments and data. • Be responsible for solution‑level benchmarks including pipeline, win rate, adoption, and cohort completion / outcome metrics. • Partner with Sales on opportunity strategy, referenceable customer logos, and driven plays. • Continuously monitor and interpret changes in technical expertise. • Identify, engage, and work with SMEs, translating complex technical knowledge into accessible, high-quality learning experiences. • Represent your solutions area with executive presence and credibility. • Actively engage internal collaborators, enterprise customers, SMEs, and industry audiences to build trust and drive alignment.
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Python, TypeScript, Java, Go, .NET