We believe in leveraging the best tools to solve problems faster. You will be expected to utilize AI coding assistants and LLMs proficiently to accelerate development velocity, generate boilerplate, and troubleshoot complex debugging scenarios. Beyond simple usage, this role requires the critical judgment to verify AI-generated outputs for security, performance, and accuracy. You should be comfortable integrating AI tooling into your daily workflow to eliminate repetitive tasks, allowing you to focus on high-impact architectural and strategic engineering challenges.

A Staff Software Engineer at Realtor.com is a technical leader that focuses on ambiguous problems for the squad. You will also:

• You help and guide the team in making the right trade-offs between short-term requirements and the long-term business/operational success of the squad. 
• You provide system-wide view and design guidance to the squad members and also influence the design decisions made by other teams. 
• You help the team to make trade-offs and re-use where possible.
• You work on project ideas with Product Management and engage with customers, stakeholders, and peers. 
• Your code submissions and approach to work are exemplary. 
• You mentor by actively participating in the code review process, design discussions, and team planning.

What will you do?

• Lead the design and delivery for the ambiguous/complex problem space in the squad.
• Provide guidance to team/s on system architecture and design.
• Develop solutions that are of high quality, scalable, and reliable
• Work collaboratively in squads composed of Product Managers, Designers, Analysts, and Engineers.
• Mentor and develop a team of engineers
• Investigate and prototype technologies that can be leveraged to introduce new innovations
• Be self-directed, take initiative and drive towards solutions with little guidance

What will you bring?

• Bachelor’s degree in Computer Science or equivalent experience
• 8+ years experience in software development
• 3+ years of experience contributing to architecture and design
• Experience in building software or interest and ability to learn in the Realtor.com® stack of Python (FastAPI, Pydantic, Numpy, Pandas) and React
• Experience with database systems and AWS knowledge preferred
• Experience delivering high value to customers quickly, frequently, with regular feedback and support
• Experience with system design and trade-offs between design approaches
• Strong software engineering best practices (e.g. testing, code reviews, documentation).

How we Reward you:

Realtor.com® is committed to investing in the health and well-being of our employees and their families. Our benefits programs include, but are not limited to:

• Inclusive and Competitive medical, Rx, dental, and vision coverage
• Family forming benefits
• 13 Paid Holidays
• Flexible Time Off
• 8 hours of paid Volunteer Time off
• Immediate eligibility into Company 401(k) plan with 3.5% company match
• Tuition Reimbursement program for degree and non-degreed programs
• 1:1 personalized Financial Planning Sessions
• Student Debt Retirement Savings Match program
• Free snacks and refreshments in each office location

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

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

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

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).