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AI Full Stack Engineer
Location
Texas
Posted
64 days ago
Salary
0
Seniority
Mid Level
Job Description
AI Full Stack Engineer
GigaBrands
AI Full Stack Engineer We’ve built an AI-native internal platform that powers every aspect of our Amazon brand management business. AI isn’t a feature — it’s the backbone. - LLMs classify and respond to inbound communications - AI generates pre-call intelligence briefs from raw enrichment data - A RAG system feeds context into every generation pipeline - An AI checkpoint system audits all generated content against quality gates The platform is already live and scaling fast: - 17+ background services - 130+ frontend pages - 214 backend services - 184 database tables - Dozens of autonomous AI pipelines We’re hiring an engineer who operates at the intersection of AI and production systems. You’ll build, optimize, and scale AI-powered infrastructure across the full stack. What You’ll Build & Scale AI Communication Pipelines - Classify inbound messages by category, intent, urgency, and tone - Generate contextual responses using enrichment data - Implement human approval gates AI-Powered Sales Intelligence - Transform raw enrichment data into structured pre-call briefs - Generate: background, pain hypotheses, talking points, rapport hooks RAG System - Vector database with embeddings - Markdown-aware chunking - Async ingestion workers - Semantic search API Trend Intelligence Engine - Process RSS feeds, social media, video platforms, and search trends - Generate reports, forecasts, and content drafts - Run autonomously on scheduled jobs Content Quality Pipeline - Multi-agent system (outline → audit → generate) - Binary quality gates (PASS/FAIL with citations) - Supports multiple content formats Automated Lead Qualification - Enrich leads with product data and market insights - AI scoring and qualification grading - Automated audit reports AI Executive Assistant - Slack operations - Scheduling workflows - Email triage and follow-ups
Job Requirements
- Key Responsibilities
- Build AI pipelines for client performance insights
- Improve RAG retrieval quality
- Add tool use for real-time data in LLM pipelines
- Debug classification errors in AI systems
- Optimize LLM costs and performance
- Build dashboards for AI metrics and usage
- Add observability to pipelines
- Expand content quality systems
- Qualifications
- Production LLM experience (Claude/OpenAI in real systems)
- RAG system experience (embeddings, retrieval, chunking, context handling)
- 3+ years TypeScript / Node.js
- Strong React skills
- PostgreSQL (queries, migrations, indexing)
- API integrations (REST, OAuth, webhooks)
- Linux server experience (SSH, logs, debugging, deployments)
- Strong Pluses
- Multi-agent LLM systems
- Anthropic Claude expertise
- Vector search / embeddings
- Slack API experience
- Ad platform APIs (Meta, Google, LinkedIn)
- LLM observability (cost, tracing, monitoring)
- Amazon / eCommerce experience
- AI-assisted dev tools (Cursor, Claude Code, etc.)
Benefits
- Competitive salary based on experience
- High-impact role with strong ownership
- Opportunity to scale cutting-edge AI systems to world-class level
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This posting is for proactive recruitment purposes and may be used to fill current openings or future vacancies within our organization. Are you excited about working at the forefront of applied research in an industry setting? Thomson Reuters Labs in Canada is seeking scientists with a passion for solving problems using state-of-the-art natural language processing, information retrieval, and generative AI. What does Thomson Reuters Labs do? We experiment, we build, we deliver. We support the organization and our customers through applied research in natural language processing and informational retrieval. We innovate collaboratively with product and domain experts to identify compelling solutions at the intersection of user needs and technical feasibility. Our team in Labs Legal Tech is designing the next generation of Legal Technology globally. We drive AI innovation for Thomson Reuters’ LegalTech Products and features, including CoCounsel Core, CoCounsel Drafting, Practical Law, HighQ, Legal Tracker, Document Intelligence, Contract Express, Due Diligence, and others. About the Role Senior Applied Scientists are experts in NLP / IR / ML / GenAI, responsible for the design and delivery of AI solutions that enhance Thomson Reuters' products. They leverage information retrieval techniques, prompting workflows, model training and evaluation design to build and optimize solutions. Their work ensures AI technologies are effectively aligned with business objectives, driving product innovation and value. As a Senior Applied Scientist, you will: - Lead an applied research team throughout the full product development life cycle from ideation and PoC through to production scaling and feedback driven iteration. - Be fully accountable for all research deliverables in your projects, - Provide input to the business and Labs leadership on long-term AI strategy, - Lead and drive stakeholder engagement with other functions (Product, Engineering, Design), - Develop in-depth knowledge of customer problems and data, - Maintain scientific and technical expertise in one or more relevant areas as demonstrated through product deliverables, published research, and intellectual property, - Identify state of the art technology relevant to TR products and leverage them to create value for TR customers, - Mentor and coach scientists and engineers on best practices and fostering a culture of innovation, collaboration and continuous learning. About You You’re a potential fit for the role of Senior Applied Scientist if your background includes: - PhD in a relevant discipline or master’s plus a comparable level of experience, - 5+ years of hands-on experience building NLP / IR systems for commercial applications, - Experience writing production code and ensuring well-managed software delivery, - Demonstrable experience translating complex problems into successful AI applications, - Professional experience scaling yourself and leading through others, in an applied research setting, - Outstanding communication, problem-solving, and analysis skills, - Experience collaborating with Product, Engineering and other business stakeholders in an agile manner to demonstrate value and iterate with customer feedback. Technical qualifications: - Solid understanding of classic ML techniques used for NLP problems, - Solid understanding of DL approaches used for NLP tasks such as transformer-based models, - Working understanding of inner workings of large language models, - Experience working on text heavy NLP projects, - Practical experience using generative AI technologies (prompt engineering, in-context learning, chain-of-thoughts, prompt optimization, auto-evaluation, function calling, controlled generation, etc.) - Practical experience using RAG frameworks, pre-training/fine-tuning language models, and data curation/generation for training/fine-tuning language models, - Practical experience using agentic frameworks (such as LangGraph, AutoGen, Semantic Kernel, etc.) for building applications, - Proficiency in Python, Git, AWS, Azure for remote model development and deployment, - Experience building lightweight UIs, iterating on greenfield concepts, applying agile development practices and rapid prototyping. Preferred qualifications: - Prior work on search and question answering from large corpora and/or long document summarization, - Experience building applications for the legal domain, such as document review or document drafting, - Publications at relevant venues such as ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, ICML, KDD or similar conferences and venues. #LI-MW1 What’s in it For You? - Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. - Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. - Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. - Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. - Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. - Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. Our use of AI within the recruitment process Thomson Reuters utilizes Artificial Intelligence (AI) to support parts of our global recruitment process. Unless you opt-out, our AI system will assess the information provided by you and compare it to the requirements listed for the role, and present the result to our recruitment personnel for further review. The AI system acts as a supporting tool, but there is always a human making the decision if you will be considered for the role. In the United States, Thomson Reuters offers a comprehensive benefits package to our employees. Our benefit package includes market competitive health, dental, vision, disability, and life insurance programs, as well as a competitive 401k plan with company match. In addition, Thomson Reuters offers market leading work life benefits with competitive vacation, sick and safe paid time off, paid holidays (including two company mental health days off), parental leave, sabbatical leave. These benefits meet or exceeds the requirements of paid time off in accordance with any applicable state or municipal laws. Finally, Thomson Reuters offers the following additional benefits: optional hospital, accident and sickness insurance paid 100% by the employee; optional life and AD&D insurance paid 100% by the employee; Flexible Spending and Health Savings Accounts; fitness reimbursement; access to Employee Assistance Program; Group Legal Identity Theft Protection benefit paid 100% by employee; access to 529 Plan; commuter benefits; Adoption & Surrogacy Assistance; Tuition Reimbursement; and access to Employee Stock Purchase Plan. Thomson Reuters complies with local laws that require upfront disclosure of the expected pay range for a position. The base compensation range varies across locations. For any eligible US locations, unless otherwise noted, the base compensation range for this role is $127,400 USD - $236,600 USD. For Ontario, Canada, the base compensation range for this role is $100,000 CAD - $145,000 CAD. Base pay is positioned within the range based on several factors including an individual’s knowledge, skills and experience with consideration given to internal equity. Base pay is one part of a comprehensive Total Reward program which also includes flexible and supportive benefits and other wellbeing programs. This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance. This job posting will close 06/25/2026. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com



