FastAPI Jobs in Texas.
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Senior Full Stack Software Engineer (AI Applications)
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WHO WE ARE
Consumer Reports is an independent, nonprofit organization dedicated to a fair and just marketplace for all. CR is known for our rigorous testing and trusted ratings on thousands of products and services. We report extensively on consumer trends and challenges, and survey millions of people in the U.S. each year. We leverage our evidence-based approach to advocate for consumer rights, working with policymakers and companies to find solutions for safer products and fair practices.
Our mission starts with you. We offer medical benefits that start on your first day as a CR employee that include behavioral health coverage, family planning and a generous 401K match. Learn more about how CR advocates on behalf of our employees.
OVERVIEW
We’re hiring a Senior Full-Stack Engineer to turn our AI and machine learning capabilities into real products used by millions of consumers and internal teams.
This is a product engineering role,not model training. You’ll focus on delivering AI through scalable, intuitive applications.
You’ll report to the Associate Director, AI/ML & Data Science and work closely with AI/ML engineers and data scientists to bring models, APIs, and data pipelines into production-ready experiences.
You’ll own the full stack, from frontend to backend to cloud—ensuring performance, reliability, and usability at every layer. You’ll also partner with product and design to create AI experiences that are clear, trustworthy, and impactful.
If you enjoy turning complex technology into products people actually use, this is your role.
This is a hybrid position; it is not eligible for sponsorship or relocation assistance.
How You'll Make An Impact
You’ll help power a multi-year AI strategy focused on consumer value, employee tools, and responsible AI.
In this role, you will:
- Build full-stack applications, data APIs, and AI-powered dashboards
- Develop backend services (Python: FastAPI/Django, Node.js)
- Integrate with Databricks and AWS SageMaker
- Create responsive frontends (React, Next.js, TailwindCSS)
- Deploy cloud-native apps (AWS, GCP, or Azure)
- Connect RAG pipelines, vector databases, and model endpoints
- Implement authentication, data access, and API management
- Build CI/CD pipelines, testing, and performance optimization
- Collaborate with product and design on AI-driven experiences
ABOUT YOU
You’ll Be Highly Rated If:
- You have the experience. 5+ years building production full-stack applications with Python, JavaScript, and SQL/NoSQL systems.
- You've earned the degree. Bachelor's in Computer Science, Engineering, or a related field.
- You've integrated software with AI/ML services, data APIs, or model endpoints — as a consumer of those services.
- You've deployed on AWS, GCP, or Azure, ideally with Databricks or SageMaker.
You'll Be One of Our Top Picks If:
- You love turning complex AI models into products people actually use.
- You move fluently across frontend, backend, and cloud.
- You're as comfortable debating UX as you are optimizing a data pipeline.
FAIR PAY AND A JUST WORKPLACE
At Consumer Reports, we are committed to fair, transparent pay and we strive to provide competitive, market-informed compensation.The target salary range for this position is $100K-$140K. It is anticipated that most qualified candidates will fall near the middle of this range. Compensation for the successful candidate will be informed by the candidate’s particular combination of knowledge, skills, competencies, and experience. We have three locations: Yonkers, NY, Washington, DC and Colchester, CT. We are registered to do business in and can only hire from the following states and federal district: Arizona, California, Connecticut, Illinois, Maryland, Massachusetts, Michigan, New Hampshire, New Jersey, New York, Texas, Vermont, Virginia and Washington, DC.
Salary ranges
- NY/California: $120K-$140K annually
- DMV/Massachusetts: $115K-$135K annually
- Colchester, CT and additional approved CR locations: $100K-$120K annually
Consumer Reports is an equal opportunity employer and does not discriminate in employment on the basis of actual or perceived race, color, creed, religion, age, national origin, ancestry, citizenship status, sex or gender (including pregnancy, childbirth, related medical conditions or lactation), gender identity and expression (including transgender status), sexual orientation, marital status, military service or veteran status, protected medical condition as defined by applicable state or local law, disability, genetic information, or any other basis protected by applicable federal, state or local laws. Consumer Reports will provide you with any reasonable assistance or accommodation for any part of the application and hiring process.
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Cloud Engineer
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WE’RE HIRING! If you love data and are looking for unlimited growth opportunities, we want to talk with you about joining Further.
Further is a data, cloud, and AI company whose focus is helping companies turn raw data into the right decisions. We have an award winning culture of extraordinary people. Our purpose is to enable people to thrive so that businesses can thrive. We believe that the work you do should matter - it should be meaningful to you professionally and personally, and it should have a positive impact on both you and our clients. If this sounds exciting to you, let’s chat!
CLOUD ENGINEER
What experience should you have:
- 4+ years of professional web application development experience.
- Strong command of TypeScript and either Go or Python with full-stack development experience.
- Knowledge of Google Cloud Platform, specifically Load Balancing and web architecture.
- Experience operating Cloud Run applications in production environments.
- Proficiency with Git workflows and agile development processes (SDLC).
Preferred: Professional Cloud Developer certification or experience in client-facing consulting.
What you’ll be doing in this role:
- Build and implement web applications using TypeScript (Svelte), Go, and Python (FastAPI).
- Design and optimize PostgreSQL database schemas to ensure performance and data integrity.
- Manage application deployments on GCP using Cloud Run and Cloud SQL
- Develop user-friendly interfaces using modern frameworks like Svelte.
- Collaborate with data science teams to integrate AI models into production APIs.
What you'll need to accomplish in your first year:
- Successfully deploy and maintain high-availability cloud applications for client projects.
- Consistently deliver clean, secure, and performant code that meets team standards.
- Become a key contributor to the technical integration of AI-driven features into web interfaces.
Our total rewards program is designed for your protection, peace of mind, and overall well-being. In addition to our outstanding basics, we offer a net-zero cost medical option, company contributions to your HSA, fertility support, fully-paid parental leave, a monthly stipend for your lifestyle spending account, and much more.
Apply today or check out all our opportunities!
#LI-Hybrid
By submitting your application, you consent to our collection, processing and disclosure of the contained personal data in accordance with our data practices. If you are a resident of the U.S. state of California, you can read about our data practices and your related privacy rights here. If you are a resident of the European Economic Area, Switzerland or the United Kingdom, you can read about our data practices and your related privacy rights here.
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WE’RE HIRING! If you love data and are looking for unlimited growth opportunities, we want to talk with you about joining Further.
Further is a data, cloud, and AI company whose focus is helping companies turn raw data into the right decisions. We have an award winning culture of extraordinary people. Our purpose is to enable people to thrive so that businesses can thrive. We believe that the work you do should matter - it should be meaningful to you professionally and personally, and it should have a positive impact on both you and our clients. If this sounds exciting to you, let’s chat!
SENIOR AI ENGINEER
We are hiring a Senior AI Engineer to lead the development of our cloud-based (Google Cloud), commercial AI products. You will bridge the gap between experimental data science prototypes and production-grade software. You will architect the robust systems and LLMOps workflows necessary to transform AI models into reliable, enterprise-ready applications. By designing stable backend architectures and seamless integration layers, you will ensure our AI solutions are not just functional, but ethical, efficient, and high-value products that meet the rigorous demands of our commercial clients.
What experience should you have:
- 6+ years of software engineering experience with at least 3 years dedicated to AI/ML application development.
- Expert proficiency in Python AI application development and modern API architecture (REST, GraphQL, gRPC) using enterprise standards like static type checking and data validation.
- Deep experience building production applications with LLM frameworks such as LangChain, LangGraph or LlamaIndex.
- Hands-on expertise with vector databases (Pinecone, Weaviate, PostgreSQL) and search algorithms.
- Strong understanding of LLMOps principles, including model registry, versioning, and serving infrastructure specifically in Google Cloud.
- Experience in Typescript development for prototyping and integrations
- Proficiency with git workflows and understanding of standard application development processes
Preferred Qualifications
- Knowledge of advanced prompt engineering and fine-tuning techniques (LoRA, PEFT).
- Experience optimizing inference costs and latency for large-scale deployments.
- Previous experience in a client-facing consulting role, managing diverse stakeholders and navigating complex organizational structures.
- Any Google Cloud Professional Certification
What you’ll be doing in this role:
- Lead the implementation of rigorous evaluation frameworks to monitor model performance, drift, and cost in real-time.
- Architect and develop high-performance backend services and APIs using Python (FastAPI) to serve large language models at scale.
- Design advanced Retrieval-Augmented Generation (RAG) systems, selecting and managing vector databases and optimizing embedding strategies for accuracy and speed.
- Establish comprehensive model observability and guardrail systems to monitor real-time performance, detect distribution drift, and implement automated safety filters that mitigate hallucinations, bias, and toxic outputs in production environments.
- Build robust integration layers that connect AI agents securely to external enterprise systems, CRMs, and legacy databases.
- Conduct code reviews, provide technical guidance, and foster a culture of continuous learning and innovation within the engineering team.
- Collaborate with infrastructure teams to define deployment strategies, ensuring solutions scale dynamically under load.
- Define the end-to-end architecture for AI products on cloud platforms (preferably Google Cloud Platform), ensuring high availability, security, and cost-effectiveness.
What you’ll need to accomplish in your first year:
- Develop reusable internal libraries and architectural patterns and standards to accelerate the delivery of AI solutions across multiple client engagements.
- Mentor engineers on best practices for building deterministic software around probabilistic AI models.
Our total rewards program is designed for your protection, peace of mind, and overall well-being. In addition to our outstanding basics, we offer a net-zero cost medical option, company contributions to your HSA, fertility support, fully-paid parental leave, a monthly stipend for your lifestyle spending account, and much more.
Apply today or check out all our opportunities!
#LI-Remote
#LI-Hybrid
#LI-Onsite
By submitting your application, you consent to our collection, processing and disclosure of the contained personal data in accordance with our data practices. If you are a resident of the U.S. state of California, you can read about our data practices and your related privacy rights here. If you are a resident of the European Economic Area, Switzerland or the United Kingdom, you can read about our data practices and your related privacy rights here.
Ready to apply?
Apply to Further
Principal Backend Engineer (Forward Deployed)
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About Invisible
Invisible Technologies makes AI work. Our end-to-end AI platform structures messy data, automates digital workflows, deploys agentic solutions, measures outcomes, and integrates human expertise where it matters most.
Our platform cleans, labels, and structures company data so it is ready for AI. It adapts models to each business and adds human expertise when needed, the same approach we have used to improve models for more than 80% of the world’s top AI companies, including Microsoft, AWS, and Cohere.
Our successes span industries, from supply chain automation for Swiss Gear to AI-enabled naval simulations with SAIC, and validating NBA draft picks for the Charlotte Hornets.
Profitable for more than half a decade, Invisible reached $134M in revenue and ranked as the number two fastest growing AI company on the 2024 Inc. 5000. In September 2025, we raised $100M in growth capital to accelerate our mission of making AI actually work in the enterprise and to advance our platform technology.
About The Role
As a Principal Forward Deployed Engineer (FDE) at Invisible, you'll lead high-impact, AI-powered solutions that reshape how our clients operate their most critical workflows. You won’t just build and deploy — you’ll drive the strategy, architecture, and execution of end-to-end systems, working directly with client.
This is a hybrid role: equal parts AI engineer, software builder, and technical consultant. It's perfect for someone who wants to be hands-on with models and close to the impact they generate.
**Please note - We are always looking to connect with talented individuals for this role. This posting is part of our ongoing effort to build a strong pipeline of candidates and may not correspond to an immediate opening. Candidates who move forward in the process may be considered for current and future opportunities as they arise.
What You’ll Do
- Partner with delivery and executive stakeholders to scope, design, and lead implementation of AI-driven solutions
- Identify transformational opportunities in messy, ambiguous workflows and turn them into repeatable systems
- Lead architecture design and trade-off discussions across performance, scalability, cost, and reliability
- Own projects from first discovery call through full deployment — including client-facing delivery, internal coordination, and post-launch iteration
- Build shared infrastructure, reusable components, and internal playbooks to level-up the team
- Coach and mentor mid-level engineers and help shape the culture of forward-deployed AI engineering at Invisible
What We Need
- 10+ years of software engineering experience, including significant time spent building data, ML, or backend systems
- Python & ML/LLM Frameworks: Deep proficiency in Python with hands-on experience using Hugging Face, LangChain, OpenAI, Pinecone, and related ecosystems
- Deployment & Infrastructure: Skilled in full-stack and API-based deployment patterns, including Docker, FastAPI, Kubernetes, and cloud environments (GCP, AWS)
- Platform Orchestration: Experienced with workflow orchestration libraries, pub/sub systems (Kafka), and schema governance
- Data Management: Expertise in data governance and operations, including Unity Catalog and policy management, cluster/job orchestration, data contracts and quality enforcement, Delta/ETL pipelines, and replay processes
- Strong product and system design instincts — you understand business needs and how to translate them into technical architecture
- Experience building usable systems from messy data and ambiguous requirements
- Excellent communication and client-facing skills; you’ve led conversations with technical and non-technical stakeholders alike
- Proven experience owning projects from scoping through deployment in ambiguous, high-stakes environments
- Be willing to be on-call for our customers when situations arise
- Ability to travel roughly 25–50% of the time, sometimes short-notice trips—primarily across North America with occasional international roll-outs—to work directly on-site with clients
- Strong engineering background demonstrated by a Bachelor’s degree in Data Science, Computer Science and related fields OR equivalent professional experience
What’s In It For You
Invisible is committed to fair and competitive pay, ensuring that compensation reflects both market conditions and the value each team member brings. Our salary structure accounts for regional differences in cost of living while maintaining internal equity.
For this position, the annual salary ranges by location are:
- Tier 1: $250,000 - $366,000
- Tier 2: $227,000 - $333,000
*Offers will also include bonus + equity
You can find more information about our geographic pay tiers here. During the interview process, your Invisible Talent Acquisition Partner will confirm which tier applies to your location. For candidates outside the U.S., compensation is adjusted to reflect local market conditions and cost of living.
Bonuses and equity are included in offers above entry level. Final compensation is determined by a combination of factors, including location, job-related experience, skills, knowledge, internal pay equity, and overall market conditions. Because of this, every offer is unique. Additional details on total compensation and benefits will be discussed during the hiring process.
What It's Like to Work at Invisible:
At Invisible, we’re not just redefining work—we’re reinventing it. We operate at the intersection of advanced AI and human ingenuity, pushing the boundaries of what’s possible to unlock productivity and scale. Ownership is at the core of everything we do. Here, you won’t just execute tasks—you’ll build, innovate, and shape the future alongside world-class clients pushing the boundaries of AI.
We expect bold ideas, relentless drive, and the ability to turn ambiguity into opportunity. The pace is fast, the challenges are big, and the growth is unmatched. We’re not for everyone, and we’re okay with that. If you’re looking for predictable routines, this isn’t the place for you. But if you’re driven to create, thrive in dynamic environments, and want a front-row seat to the AI revolution, you’ll fit right in.
Country Hiring Guidelines:
Invisible is a hybrid organization with offices and team members located around the world. While some roles may offer remote flexibility, most positions involve in-office collaboration and are tied to specific locations. Any location-based requirements or hybrid expectations will be communicated by our Talent Acquisition team during the recruiting process.
AI Interviewing Guidelines:
Our hiring team thoughtfully uses AI to support an efficient, engaging, and inclusive interview process. Since AI can also be a helpful tool for candidates, we've outlined expectations for using it ethically throughout your interview journey. Click here to learn more about how we use AI and our guidelines for candidates.
Accessibility Statement:
We are committed to providing reasonable accommodations for individuals with disabilities. If you require an accommodation to participate in the application or interview process, please submit your request using our accommodation request form. A member of our team will follow up to support your request.
Here is the link the google form: https://docs.google.com/forms/d/e/1FAIpQLScqsu0PCQ0m0lwt-VFeXovNbZxWk0jogv8QI_ciGqZsIbSBjQ/viewform?usp=sharing&ouid=102356854798492362557
Equal Opportunity Statement:
We’re an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or veteran status, or any other basis protected by law.
Due to a high volume of candidates, Invisible may use automated decision-maker technologies to filter candidates based on response to our application questions and other provided information. Our use of automated decision-making enables us to be efficient by providing a manageable list of possible candidates that meet our mandatory hiring criteria. If you object to our use of automated decision-making please contact us.
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ICON is looking for a Senior Software Engineer, AI/ML to join the BuildOS team. BuildOS is ICON's software platform for residential construction. Our team is applying modern machine learning to the space of architectural design and construction for the homes of the future. This role reports to the Senior Director of Software, and is based in Austin, TX
You will have the opportunity to work with some of the world's most talented architects and engineers. You will gain hands-on experience using the latest and greatest models to solve new problems. This role is a crucial part of defining how the next generation of housing will be built. This role will contribute to applied AI projects in the building compliance and regulatory space — using NLP and document reasoning to automate how architectural designs are evaluated against building codes. This work spans both commercial and government contexts and involves real-world deployment of multi-agent AI systems against complex, domain-specific rulesets.
RESPONSIBILITIES
- Design, build, and maintain production-grade AI systems and services
- Develop and integrate LLM-powered features using RAG, prompt engineering, and multi-agent frameworks to solve real-world problems in the construction domain.
- Build tools to radically decrease the cost and time needed to design beautiful homes.
- Build tools to let home buyers visualize, explore and choose their ideal home.
- Build digital design tools that take full advantage of 3D printing's capabilities.
- Explore the use of ongoing AI research for all of ICON's activities.
- Translate business problems into deployed production solutions in the AI space.
- Write clean, well-tested, well-documented code and actively participate in design and code reviews.
- Build NLP pipelines for document understanding, information extraction, and reasoning over regulatory content.
- Stay current with advancements in AI/ML and evaluate new tools and approaches for applicability to ICON's product areas.
MINIMUM QUALIFICATIONS
- 5+ years of software engineering experience, with 3+ years building and shipping AI/ML-powered products in production environments.
- Strong software engineering fundamentals — system design, data structures, algorithms, testing, and CI/CD.
- Familiarity with popular image and text deep learning architectures.
- Hands-on experience with LLMs and modern AI patterns including RAG, function calling, and multi-agent orchestration.
- Experience designing and operating scalable backend systems and APIs.
- Bachelor's degree in computer science, computer engineering, mathematics, or equivalent technical degree and industry experience.
PREFERRED SKILLS AND EXPERIENCE:
- Advanced degree in mathematics, data science, or AI/Machine Learning.
- Contributions or experience with generative neural networks (e.g. StyleGAN, GPT3, StableDiffusion, etc.)
- Experience with the full stack of training and deploying deep learning models.
- Experience with 3D printing and/or robotics.
- Background in art or architecture.
- Proficiency in Typescript and experience with relevant libraries (e.g. LangChain.js and the various provider SDKs (OpenAI, Anthropic, etc.))
- Proficiency in Python and experience with relevant frameworks (e.g., FastAPI, LangChain, LlamaIndex, PyTorch).
Furthermore, as a federal government contractor, the Company maintains an affirmative action program which furthers its commitment and complies with recordkeeping and reporting requirements under certain federal civil rights laws and regulations, including Executive Order 11246, Section 503 of the Rehabilitation Act of 1973 (as amended) and the Vietnam Era Veterans' Readjustment Assistance Act of 1974 (as amended).
Headhunters and recruitment agencies may not submit candidates through this application. ICON does not accept unsolicited headhunter and agency submissions for candidates and will not pay fees to any third-party agency without a prior agreement with ICON.
As part of our compliance with these obligations, the Company invites you to voluntarily self-identify as set forth below. Provision of such information is entirely voluntary and a decision to provide or not provide such information will not have any effect on your employment or subject you to any adverse treatment. Any and all information provided will be considered confidential, will be kept separate from your application and/or personnel file, and will only be used in accordance with applicable laws, orders and regulations, including those that require the information to be summarized and reported to the federal government for civil rights enforcement purposes.
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