Senior Backend Engineer II - Golang

Job Title: Senior Backend Engineer II - Golang

Work Location: Austin, TX

Reports to: Alex Lostak

Level: 5

Salary Range: $160,000 - $190,000 

About Grocery TV

Grocery TV is a leading in-store retail media platform. Over 120 retailers partner with Grocery TV to modernize stores and drive incremental revenue while delivering a more engaging shopping experience. We manage the complexities of operating an in-store media network, allowing retailers to focus on serving customers. Reaching 1 in 4 Americans across 6,500+ stores, Grocery TV connects brands with shoppers at the moment of decision, where 90% of purchases take place. For more information, visit www.grocerytv.com. 

About The Role

This engineer will play a critical role in scaling and hardening Grocery TV’s backend systems as the platform continues to grow. This engineer will work across APIs, content delivery pipelines, and media network orchestration services to improve system resiliency, performance, and reliability. Operating at a Senior II  level, this role is expected to lead and execute backend initiatives end-to-end, bring strong system design judgment, and translate business and product needs into durable technical solutions. This position partners closely with Product and other Software Engineers to ensure backend systems support both current execution and long-term platform strategy.

Responsibilities

• Design, build, and maintain high-scale backend services using Go
• Lead implementation of backend projects that improve system reliability, resiliency, and performance
• Design and evolve API-first services that support customer-facing and internal applications
• Contribute to system architecture and technical design for future initiatives
• Partner with Product to scope, plan, and execute backend work aligned with business goals
• Identify and remediate performance bottlenecks and reliability risks across distributed systems
• Participate in a shared on-call rotation to support production systems
• Collaborate closely with other engineers through pairing, design reviews, and code reviews
• Drive operational excellence through observability, monitoring, and incident follow-ups
• Proactively identify and implement process improvements in software development process
• Be a champion for testing. Leading by example through unit and integration testing throughout projects

Requirements / Experience

• 8+ years of professional software engineering experience
• Bachelor’s degree in Computer Science or Computer Engineering
• Strong proficiency in Go for building backend services
• Experience designing and operating high-scale, high-volume backend systems
• Deep understanding of distributed systems concepts and tradeoffs
• Experience building API-first services, including customer-facing APIs
• Familiarity with system reliability, performance tuning, and fault tolerance strategies
• Experience working with relational databases and data stores in production environments
• Strong problem-solving skills and the ability to reason about complex systems

Interview Process

1. Apply: We review applications as soon as we can. You should hear back about your application within two weeks. 
2. Introduction to Hiring Manager: Meet with the hiring manager (virtually or in-person) to share your background, learn about the role, and align on logistics.
3. Technical Interview: Visit our office for a technical interview that relates to the role. You’ll respond to a prompt, and our team will ask questions to better understand your skillset. 
4. Virtual Values Interview: Meet with two Grocery TV employees who you’ll work cross functionally with to discuss team collaboration. This is a perfect opportunity for you to ask us questions, too! 
5. Virtual Leadership Interview: Lastly, all candidates have a final interview with a member of the leadership team. This conversation gives you the opportunity to reflect on the interview process and affirm this is the right role for you.

At Qualia, we've built the leading B2B real estate technology that transforms the home buying and selling experience into a simple, secure, and enjoyable process. Our SMB and Enterprise products bring together users from across the real estate ecosystem---homebuyers and sellers, lenders, title and escrow agents, and real estate agents---onto a single shared digital closing platform, providing greater clarity and transparency to real estate transactions. Today, through our business customers across the country, millions of consumers use Qualia to close on homes every year.

WHAT YOU'LL WORK ON

We are hiring an entrepreneurial Engineering Manager to lead Qualia's Application Security team. This is a builder's role. You won't just run a team - you'll redesign how a modern AppSec function operates when AI can do the first pass on nearly everything we used to do by hand.

The team today owns secure design reviews, vulnerability triage, internal penetration testing, incident response support, and security tooling across a JavaScript/NodeJS and Kubernetes stack. Your mandate is to scale that surface area vertically - growing output and coverage per engineer - by making AI-assisted workflows the default. That means automated pen testing pipelines, AI-driven triage of findings from SAST/DAST/SCA, agentic review of engineering proposals and design docs, and continuous red-teaming exercises that test both our systems and our assumptions.

You'll partner closely with Platform, Infra, and product engineering leaders to embed security earlier in the development lifecycle, and you'll be the team's voice when we set the security vision for the next two years - including anomaly detection across production traffic, model-driven threat hunting, and how we defend against (and responsibly use) AI-enabled attackers.

Securing that platform - the money, the identities, and the documents flowing through it - is what the Application Security team does every day. We're hiring an Engineering Manager to lead this team into its next chapter: one where AI is a force multiplier for every part of our security program.

RESPONSIBILITIES

• Lead and grow the Application Security team - coaching senior AppSec engineers, setting goals, and owning delivery against the security roadmap
• Build the automated pen-testing program. Stand up pipelines that run continuous, AI-assisted offensive testing against our services, APIs, and web properties - and turn the output into a triaged, actionable queue
• Scale triage with AI. Design the workflows and tooling that let the team handle 10x the volume of findings (bug bounty, scanner output, customer reports) without 10x the headcount
• Review engineering proposals. Sit at the front of the design process with engineering leaders across Core, Clear, Shield, Connect, and Atlas - reviewing RFCs and proposals, flagging risk early, and helping teams ship securely by default
• Run red-teaming exercises. Drive recurring red team engagements - both internal exercises and coordinated vendor work - and close the loop into detection, response, and product hardening
• Own the AppSec vision. Partner with the leadership team to set multi-quarter strategy across anomaly detection, threat modeling, and AI-augmented defense
• Fight fires when they happen. Lead incident response from the application security side, and be the person engineering trusts to make the call in the room
• Mentor and hire. Recruit strong AppSec engineers, mentor the ones you have, and build a team culture where people are pushed and supported in equal measure

YOUR BACKGROUND THAT LIKELY MAKES YOU A MATCH

• 5+ years as a security or full-stack engineer working on production systems, with 2+ years managing a security or platform engineering team
• Hands-on depth in application security: threat modeling, code review, and at least one offensive-security discipline (pen testing, red team)
• Track record of shipping automation that changed how a team worked - ideally including meaningful use of LLMs, agents, or ML in a security or engineering workflow
• Comfort operating across the full security lifecycle: prevention, detection, response, and recovery
• Strong written communication. You can write the design doc, the post-mortem, and the board-ready summary - and you can tell a product engineer why their proposal needs to change without shutting down the conversation
• Keen product sense and a bias toward measurable impact. You care whether the risk actually went down, not whether a ticket got closed
• Experience in fintech, real estate tech, or another regulated, high-liability domain preferred

NICE TO HAVE

• Background designing or operating anomaly-detection systems on production traffic, auth logs, or financial transactions
• Published research, CVEs, or conference talks in AppSec, offensive security, or AI security.
• Familiarity with the evolving landscape of AI-enabled offense (prompt injection, model abuse, agent exploitation) and defense

THE TECH STACK YOU'LL USE

• JavaScript / NodeJS / Typescript  / Meteor
• Microservice architecture / Kubernetes Operators
• AWS
• MongoDB
• Modern AppSec tooling: SAST/DAST/SCA and an expanding AI-assisted security automation layer that you'll help build

While this role is remote work eligible, we have three office locations: San Francisco, California; Concord, New Hampshire; and Austin, Texas.

This role has a base annual salary of $210,000-$240,000 plus a competitive equity and benefits package. (Salary to be determined by relevant experience, location, knowledge, and skills of the applicant, internal equity, and alignment with market data.)

WHY QUALIA

Qualia is made up of incredibly bright, mission-driven coworkers who are passionate about using technology to solve real-world problems---and we're growing quickly. In order to continue building an engaging and dynamic organization, we're committed to giving everyone the support they need to do great work.

Our benefits package is designed to allow our team members to be their best selves, both in and out of the workplace. In addition to comprehensive health plans, a 401k program, and commuter benefits, we prioritize family and personal well-being through professional development, parental leave, and a flexible time off policy. Qualia offers a robust online onboarding program to train new hires, biweekly all hands meetings, and a variety of internal virtual events to keep employees connected.

We believe diverse perspectives and backgrounds are critical to building great technology, and our goal is to cultivate an environment where people feel equally valued and respected. Qualia is proud to be an equal-opportunity workplace, and we welcome applicants from all backgrounds regardless of race, color, ancestry, religion, gender identity or expression, sexual orientation, marital status, age, citizenship, socioeconomic status, disability, or veteran status.

By submitting your application, you acknowledge and agree to the collection, processing, and use of your personal information as described in our Employee Data Privacy Notice.

#LI-Remote

Position Summary 

The AI Implementation Lead is the Data Team's hands-on builder, deploying AI solutions where Data Team work meets the business. The ideas are coming faster than the implementation; this role exists to close that gap. The work spans agents, plug-ins, applications, integrations, and whatever form the use case calls for. You will scale IEM's existing AI-native infrastructure (Claude Code in daily use, multiple local MCP servers wired to production data systems, an internal multi-agent portfolio across analytics and operations, and an established AI-assisted development culture) from a director-led prototype into a Data Team production platform. This role works in coordination with IEM's Enterprise AI team, which sets enterprise AI strategy and policy; the AI Implementation Lead applies that framework to the solutions you build rather than authoring it. This is the first dedicated AI engineer on the Data Team, offered with track flexibility as either a principal individual contributor or a hands-on people leader managing 2 to 4 engineers as the function scales. 

Ideal Candidate Profile 

You have 5+ years of software engineering experience with hands-on AI and agentic system development. You have built agents, plug-ins, or AI applications that real organizations have used, not coursework or POCs. You think first about the use case and the user, then about the system, then about the model. You write production code yourself and pride yourself on building solutions that actually get adopted. You partner naturally with non-technical stakeholders, translating fuzzy AI ideas into deployed solutions and surfacing the questions behind the questions. You are comfortable working with modern agent tooling such as Claude Code, MCP, LangGraph, Mastra, or Pydantic AI, and you treat AI-assisted development as a daily multiplier for engineering, governance, documentation, and adoption work. You have a working knowledge of AI governance and security including prompt injection mitigation, data leakage prevention, and model risk. You are excited about defining a new function inside a Data Team that already has the foundation in place. 

Key Responsibilities 

• AI Solution Deployment: Build agents, plug-ins, applications, and integrations as use cases emerge from the Data Team's work and the partners it supports 

• Agent Development: Design and develop custom agents and agent harnesses, including MCP servers, orchestration logic, prompt engineering, and eval scaffolding. Agents are the centerpiece of the function. 

• Vendor AI Extension: Build on top of Salesforce Einstein, Tableau Pulse-AI, ETQ-AI, Fellow.ai, and the data-platform AI capabilities IEM brings on next 

• Solution Discovery: Run intake conversations with internal partners to surface high-value AI use cases, pressure-test feasibility against existing tooling, and prioritize the implementation roadmap 

• AI Governance and Security: Build with data leakage prevention, prompt injection mitigation, and model risk as first-class concerns, in alignment with IEM's broader AI policy framework 

• Adoption and Enablement: Train users, write documentation, and run enablement programs so the AI solutions you deliver get used by the people they were built for 

• Cross-Functional Delivery: Coordinate with the internal teams the Data Team serves through build and rollout, keeping stakeholders aligned as solutions move from idea to deployment 

• Documentation: Maintain design notes, integration docs, and runbooks for the AI solutions you deliver so the team can support and extend your work 

• AI-Assisted Development: Use modern AI coding tools such as Claude Code and Cursor as part of your daily practice, setting the standard for the rest of the Data Team 

• Team Leadership: If filling the people-leader track, hire, coach, and grow a small team of AI engineers as the function scales 

• Engineering Standards: Participate in code reviews, follow Git workflows and CI/CD practices, and contribute to evolving the team's AI engineering conventions 

• Continuous Learning: Stay current with the rapidly evolving AI tooling landscape, bringing ideas back to the team and helping raise the bar over time 

Qualifications 

• Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or a related technical field, or equivalent professional experience 

• 5+ years of software engineering experience, with at least 2 years building AI or agentic systems used by a real organization 

• Direct experience building agents, plug-ins, or AI applications used in a real working environment, not coursework, prototypes, or POCs 

• Hands-on experience with modern agent tooling such as Claude Code, MCP (Model Context Protocol), LangGraph, Mastra, Pydantic AI, or comparable frameworks 

• Strong programming skills in Python, including async patterns, type hints, and testing 

• Working knowledge of large language model APIs (Anthropic, OpenAI, or comparable), with hands-on prompt engineering, evaluation, and iteration on production prompts 

• Working knowledge of AI governance and security including prompt injection mitigation, data leakage prevention, model risk, and vendor review 

• Track record of driving adoption of AI or technical solutions with users outside the immediate engineering team 

• Strong written and verbal communication skills with the ability to explain technical AI concepts to non-technical stakeholders and to gather requirements from business users 

• Comfortable with Git version control, code review, and modern engineering workflows including CI/CD 

• Self-motivated with the ability to work independently in a remote environment while collaborating effectively across a distributed team 

• Preferred: People leadership experience including managing 2 to 5 engineers and running technical hiring 

• Preferred: Experience extending vendor AI platforms in the data and analytics ecosystem (Salesforce Einstein, Tableau Pulse-AI, BI vendors, vertical SaaS) 

• Preferred: Mid-market or operational and manufacturing context, vs. a purely big-tech background 

• Preferred: Familiarity with manufacturing systems such as Infor Syteline, ERP platforms, or shop floor and quality systems 

Location 

Fully remote within the United States. May require up to 10% travel to IEM facilities for team collaboration, project kickoffs, and stakeholder meetings. 

Role Description

This is a high-autonomy, high-agency position for a builder who thrives in ambiguity and wants to ship AI products that directly impact cancer care. You'll sit at the intersection of engineering, product, and design, working across all three modalities to ship products to customers. Your work will span two critical domains:

1. AI Products for Providers 

Design and ship AI-powered experiences for oncologists and clinical teams. This includes exploring conversational AI experiences, building agent-based workflows that help providers navigate managing patient care, and bringing new clinical AI products to market. You'll spend meaningful time with customers to deeply understand their workflows and uncover where AI can create transformative value.

2. Commercializing Natera's AI Foundation Models

You'll be the bridge between Natera's AI research lab and the launched product. Our team has developed proprietary models that need to be brought to market and into the hands of clinicians. You'll contribute to training and post-training of these models, build the serving infrastructure, shape the user experience, and own the end-to-end deployments of these products.

What You'll Do

• Ship zero-to-one AI products end-to-end — from customer discovery and prototyping through production deployment and iteration
• Build agentic AI systems — design and implement autonomous and semi-autonomous workflows using LLMs, tool-use, memory, and orchestration
• Develop AI tools that improve efficiency across clinical operations, data extraction, manual workflows, and more
• Commercialize AI research — partner with the AI lab to take proprietary models from research prototypes and into production
• Contribute to model training and post-training — fine-tuning, evaluation, safety testing, and optimization of Natera's proprietary oncology models

What We're Looking For

Required

• 5+ years of software engineering experience, with at least 2 years focused on AI/ML or LLM-powered products in production
• Demonstrated ability to ship end-to-end — you've taken AI features or products from idea to production, ideally in a zero-to-one context
• Strong full-stack engineering skills — proficiency in Python and modern web frameworks; you can build both the model pipeline and the user-facing product
• Production experience with LLMs — fine-tuning, RAG, prompt engineering, agentic architectures, structured extraction, evaluation, and observability
• High agency and autonomy — you don't wait for permission, detailed specs, or hand-holding. You unblock yourself, seek out the highest-impact work, and drive it to completion
• Excellent communication — you can translate complex AI concepts for clinical and business stakeholders, and articulate a vision for what you're building and why

Preferred

• Experience in healthcare, biotech, diagnostics, or pharma — especially oncology
• Familiarity with clinical workflows, electronic health records, or provider-facing software
• Track record of working in regulated environments (HIPAA, FDA, CLIA, CAP)
• Background in or comfort with computational biology, genomics, or multimodal data (imaging, sequencing, clinical records)
• Experience with AWS infrastructure, Kubernetes, MLflow, or similar ML platform tooling

Prior experience in a high-growth startup or zero-to-one product environment

Why This Role Exists 

We’re rapidly integrating AI into our operations to help us fulfill our mission to help every K12 child thrive. We’re adding an operational owner to further accelerate our progress: someone who embeds with teams, figures out where AI can have a meaningful impact, and builds things that stick. You’ll be working with active internal programs, a growing set of working tools, and leadership that’s genuinely committed. 

This isn’t a research or strategy role. You’ll be expected to ship things, measure whether they worked, and iterate. 

What You’ll Own 

Hands-On Enablement (50%) 

• Embed directly with teams across go-to-market, Engineering, Product, Operations, Finance, and Customer Experience to identify high-value AI use cases and unblock adoption 

• Design, prototype, and ship internal AI workflows and tools (prompt libraries, automation scripts, internal apps) that solve real problems – both directly and by enabling teams to become self sufficient 

• Evaluate and recommend AI tooling—LLMs, copilots, automation platforms—with a bias toward practical deployment over proof-of-concept theater 

• Build reusable playbooks, templates, and reference implementations that teams can adopt independently 

• Establish measurement frameworks to track adoption, productivity impact, and ROI 

AI Initiative Ownership (20%) 

• Own select AI-driven initiatives end-to-end, from scoping through delivery.

• Drive vendor evaluation, stakeholder alignment, implementation planning, and rollout for assigned initiatives 

• Coordinate across Product, Engineering, Customer Experience, and external vendors to hit milestones and manage dependencies 

• Define success metrics and own post-launch adoption and iteration 

Evangelism & Change Management (20%) 

• Drive awareness, excitement, and fluency around AI across the organization 

• Run workshops, office hours, and enablement sessions tailored to different audiences (engineers, PMs, operations staff, leadership) 

• Co-own and evolve existing programs: The Vanguard (AI champions network), The Forge (internal hackathon series), and LINQ Labs (internal tools environment) 

• Translate technical AI capabilities into business-relevant language for non-technical stakeholders 

• Surface and amplify success stories to build organizational momentum 

Strategy & Governance (10%) 

• Partner with the CTO to refine and execute LINQ’s AI strategy 

• Maintain an AI adoption roadmap with clear priorities, dependencies, and milestones 

• Collaborate with Security (CISO) and Compliance to ensure AI tooling meets FERPA, COPPA, PCI, and CCPA requirements 

• Track the AI vendor landscape and make informed build-vs-buy-vs-integrate recommendations 

• Contribute to board and investor narratives around LINQ’s AI maturity

  What You Bring 

  Required 

  • 8+ years in technical program management, developer experience, platform engineering, or a similarly cross-functional technical role
  • Demonstrated ability to drive adoption of new tools and practices across an engineering organization—not just advocacy, but measurable results 
  • Strong technical fluency: you can review prompts, evaluate AI tools, design workflows, and build prototypes (scripting, light app development, API integrations) 
  • Experience working with LLMs, AI copilots, or automation tooling in a professional context—not just personal experimentation 
  • Exceptional written and verbal communication; you can explain complex technical concepts to a CFO and debug a prompt chain with an engineer in the same afternoon 
  • Comfort operating in ambiguity with minimal direction; you define the path, not just walk it 
  • Experience in a PE-backed, multi-product SaaS environment (or similar complexity) 

  Preferred 

  • Experience in K–12 education technology or another regulated vertical (healthcare, fintech) 
  • Familiarity with compliance frameworks relevant to AI deployment (FERPA, COPPA, SOC 2) 
  • Background in developer experience, internal tools, or platform teams 
  • Experience with JavaScript/TypeScript, React, Node.js, AWS 
  • Track record of building and scaling internal programs or communities of practice 

    About LINQ 

    LINQ is a K–12 cloud software company trusted by 30% of U.S. school districts, powering 1B school meals annually, 364K payrolls, and 3.5M families through LINQ Connect. We simplify the operational complexity of running a school district so educators can focus on what matters: students. 

    We’re PE-backed, ~$100M ARR, and in the middle of a meaningful transformation—modernizing our platform, unifying our product portfolio, and embedding AI across everything we do. This is not an innovation lab. This is a real business with real customers, and AI is how we earn the right to scale. 

    LINQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. 

About SecurityScorecard:

SecurityScorecard is the global leader in cybersecurity ratings, with over 12 million companies continuously rated, operating in 64 countries. Founded in 2013 by security and risk experts Dr. Alex Yampolskiy and Sam Kassoumeh and funded by world-class investors, SecurityScorecard’s patented rating technology is used by over 25,000 organizations for self-monitoring, third-party risk management, board reporting, and cyber insurance underwriting; making all organizations more resilient by allowing them to easily find and fix cybersecurity risks across their digital footprint. 

Headquartered in New York City, our culture has been recognized by Inc Magazine as a "Best Workplace,” by Crain’s NY as a "Best Places to Work in NYC," and as one of the 10 hottest SaaS startups in New York for two years in a row. Most recently, SecurityScorecard was named to Fast Company’s annual list of the World’s Most Innovative Companies for 2023 and to the Achievers 50 Most Engaged Workplaces in 2023 award recognizing “forward-thinking employers for their unwavering commitment to employee engagement.”  SecurityScorecard is proud to be funded by world-class investors including Silver Lake Waterman, Moody’s, Sequoia Capital, GV and Riverwood Capital.

About the Role:

We are looking for a Senior AI Engineer who ships. This is a hands-on builder role for an engineer who is as comfortable defining the architecture of an agentic workflow as they are reviewing the production code that runs it. You will work at the intersection of LLMs, distributed systems, and real customer problems, turning emerging AI capabilities into features that security teams rely on every day.

What You'll Do

• Design, build, and ship customer-facing AI-powered product features using TypeScript, Go, and AWS, owning quality and reliability end-to-end
• Architect and implement agentic workflows, LLM pipelines, and intelligent automation that help customers surface faster, more actionable security insights
• Integrate foundation models into existing product surfaces with a practical eye toward latency, cost, output quality, and evaluation
• Use AI-native development tools (Cursor, Claude Code, and similar) as a core part of your workflow, setting the standard for how this team builds
• Lead architecture and code reviews with a focus on production-grade reliability, security, and maintainability
• Partner with product and design to translate user needs into compelling AI-driven experiences, contributing product judgment alongside technical execution
• Own projects end-to-end from concept through production, including monitoring, iteration, and improvement post-launch
• Stay current with the AI tooling and foundation model landscape and bring relevant advances into our roadmap and practices

Required Skills and Experience

• 5+ years of professional software engineering experience with a strong track record shipping customer-facing product features
• 2+ years of hands-on experience building AI-powered applications in production, including LLM integration, prompt design, and output evaluation
• Proficiency in TypeScript and strong backend engineering fundamentals
• Demonstrated ability to own complex projects end-to-end across the full software development lifecycle
• Experience designing and operating distributed systems in cloud environments (AWS preferred)
• Hands-on experience with CI/CD, containerization (Docker, Kubernetes), and production deployment practices
• Strong computer science fundamentals including systems design, data structures, and networking
• Fluency with AI-native development workflows including AI-assisted coding tools as part of day-to-day engineering
• Clear, direct communication with both technical and non-technical stakeholders

Our Tech Stack

TypeScript / JavaScript, Go, AWS, Docker, Kubernetes, Terraform, ClickHouse, PostgreSQL

Nice to Have

• Experience with agentic AI systems, multi-agent orchestration, or retrieval-augmented generation (RAG)
• Familiarity with LLM evaluation frameworks and production observability for AI systems
• Background in cybersecurity, threat intelligence, or compliance-focused products
• Experience with high-scale data systems and large structured datasets
• Full-stack delivery experience and comfort working across the product surface

Benefits:

Specific to each country, we offer a competitive salary, stock options, Health benefits, and unlimited PTO, parental leave, tuition reimbursements, and much more!

The estimated total compensation range for this position is $155,000 - $185,000 (base plus bonus). Actual compensation for the position is based on a variety of factors, including, but not limited to affordability, skills, qualifications and experience, and may vary from the range. In addition to base salary, employees may also be eligible for annual performance-based incentive compensation awards and equity, among other company benefits. 

SecurityScorecard is committed to Equal Employment Opportunity and embraces diversity. We believe that our team is strengthened through hiring and retaining employees with diverse backgrounds, skill sets, ideas, and perspectives. We make hiring decisions based on merit and do not discriminate based on race, color, religion, national origin, sex or gender (including pregnancy) gender identity or expression (including transgender status), sexual orientation, age, marital, veteran, disability status or any other protected category in accordance with applicable law. 

We also consider qualified applicants regardless of criminal histories, in accordance with applicable law. We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or accommodation due to a disability, please contact talentacquisitionoperations@securityscorecard.io.

Any information you submit to SecurityScorecard as part of your application will be processed in accordance with the Company’s privacy policy and applicable law. 

SecurityScorecard does not accept unsolicited resumes from employment agencies.  Please note that we do not provide immigration sponsorship for this position.   #LI-DNI

At Reltio®, we believe data should fuel business success. Reltio’s AI-powered data unification and management capabilities—encompassing entity resolution, multi-domain Data Unification, and data products—transform siloed data from disparate sources into unified, trusted, and interoperable data. The Reltio Connected Data Platform™ delivers interoperable data where and when it's needed, empowering data and analytics leaders with unparalleled business responsiveness. Leading enterprise brands—across multiple industries around the globe—rely on our award-winning data unification and cloud-native Data Unification capabilities to improve efficiency, manage risk and drive growth.

At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence.

Reltio has earned numerous awards and top rankings for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk!

Job Summary: 

Customer Engineer provides expert technical support to high-value customers, and partners resolving complex issues and proactively ensuring system health. They also play a key role in sharing knowledge to enhance overall customer satisfaction and product improvement.

Job Duties and Responsibilities:

• Handle complex technical problems for our customers that include technical configuration, workflow compilation, lambda code debug, integration and JSON knowledge. 
• Resolve all categories of customer technical issues (questions, tasks, and problems) through diligent research, reproduction, and troubleshooting per the organizational goals.
• Provide alternate solutions and exercise independent judgment in developing methods, techniques, and evaluation criteria that lead to prompt resolution of issues.
• Provide high-quality customer engineering assistance that results in high customer satisfaction.
• Serve as a subject matter expert in multiple product features for supporting, enhancing, and fixing solutions that support a rapidly growing business at a massive scale.
• Attend meetings with clients to analyze, troubleshoot and diagnose problems.
• Participate in rapid response teams that include engineering and DevOps to be the face of the customer in communications and feedback.
• Actively monitor tenant-level alerting tools and participate in collaborative communications for escalation prevention.
• Provide input on product and service-related enhancement requests back to Engineering, Product Management, Sales, and Marketing teams that will improve our customers' successful use of our products and drive adoption.
• Operates with minimal guidance on daily tasks and receives high-level directives when taking on new initiatives.
• Understand and keep up-to-date on the latest product functionality, its dependencies, the underlying architecture, and its operational impact.
• Participate in a 24/7 on-call rotation, providing after-hours support for critical issues.
• Share and develop best practices with team members to enhance the quality and efficiency of technical support and contribute to the knowledge base. 
• Proactively communicate to avoid escalations and negative customer satisfaction.
• Author technical documents on common issues and solutions to build the knowledge base and participate in communities.
• Support weekend shifts on a rotational/as-needed basis if requested.
• Lead support initiatives for the betterment of the organization and team.
• Other duties and responsibilities as assigned. 

Skills You Must Have: 

• Bachelor's degree in Computer Science or equivalent field of study. 
• 3+ years of experience with on-premise or cloud Data Unification solutions.
• 3+ years of experience supporting enterprise products in SaaS in a customer-facing role.
• 3+ years of experience with Public Clouds AWS/GCP/Azure and their services.
• 3+ years of experience with REST APIs and integration tools.
• 3 + years of previous experience as a software engineer, support engineer, or solution engineer supporting Enterprise-focused applications.
• Experience in data management, master data management, analytics, and big data platforms and technologies.
• Experience in hands-on programming (ex. Python, Java).
• Experience in object-oriented design, data structures, algorithm design, problem-solving, and complexity analysis.
• Experience with RESTful API development and debugging, Postman.
• Experience with web UI development with JavaScript frameworks.
• Working knowledge of scalable and distributed data systems using distributed file systems, Java, and cloud technology.

Skills That Are Nice to Have:  

• MS in computer science or equivalent experience preferred.
• Experience with NoSQL databases (Cassandra, Elastic Search, DynamoDB preferred), and distributed indexes is a plus.

About the Role:

This role has two jobs and you’ll own both.

1) Ship great content. High-quality technical narratives are the baseline. You’ll create work that stands up to scrutiny from senior engineers and executives (including the CTO) as well as seasoned professional writers. The expectation is clarity, accuracy, and grounding in real implementation details, wrapped in tight storytelling.

2) Build the system, agents, and tools that make great content repeatable. We are building the content engine that will define how content is generated in the age of AI. Come build the agents, tooling, workflows, and structure that help our small team ship faster without sacrificing technical credibility or authentic human writing. We’ve got the tokens, and you can help us burn ‘em.

You will join a small, high-agency team at the intersection of product, engineering, and go-to-market. We publish for a world where people and AI agents discover, evaluate, and cite information differently than they did in the SEO era.

How we work

We treat content like an engineering discipline: quality bars, reusable components, and systems that let us iterate quickly. Just like software engineering, the best people have mastered the craft and can do it by hand, but use AI to dramatically increase their throughput.

You’ll work in a stack that may include:

• Claude Code (and other code-first LLM tools) for technical exploration, refactors, example generation, and literally building the agents to coordinate our processes.
• Shared skills / reusable prompt libraries for consistent drafting patterns and review checklists
• Context window management: curating inputs, trimming noise, and keeping high-signal working sets
• Memory + retrieval workflows: building a knowledge layer so we don’t rewrite the same background every time
• Structured outlines and schemas to make content easier for both humans and agents to navigate and cite

If you’ve built systems like this before or you’re excited to, you’ll have a lot of room to shape the approach.

When applying, please submit one content sample (blog post or other long-form content) that you feel expresses your ability to excel at this role. If you do not, your application will not be considered.

If you’re based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday. If you're located beyond that distance, the role is fully remote. For location-specific details, please connect with our recruiting team.

What You Will Do:

• Ship excellent content. You’ll write and publish narratives that explain Vercel’s AI Cloud, platform capabilities, and the developer workflows they enable.
• Build the content engine that helps the team move faster and stay sharper:
  • Create repeatable, tech-enabled pipelines for drafting, technical review, publishing, and updates.
  • Build agents and workflows that support the content development process.
• Act as customer zero to pressure test features, SDKs, docs, examples, and messaging for accuracy, clarity, and usefulness. Your content will read like you’ve actually implemented the systems, because you have.
• Stay up to date on our products, industry trends, and user needs to ensure the content is relevant and effective.
• Review and refine content and code examples for clarity and accuracy.
• Keep a tight feedback loop: track performance, learn what people (and models) pick up, and iterate.

About You:

• You have 5+ years of experience as a Technical Writer, Developer Experience/Advocate Engineer, or in a related role, with a proven track record of high-impact long-form technical writing.
• You have hands-on web development experience, and you can reason about real-world tradeoffs.
• You know modern frontend tools such as TypeScript, Next.js, and Vercel.
• You can collaborate deeply with engineers, ask sharp questions, and earn trust through technical accuracy.
• You learn quickly and can turn new domains into clear, comprehensive explanations.
• You thrive in a fast-paced environment with high agency and strong ownership.

Benefits:

• Competitive compensation package, including equity.
• Inclusive Healthcare Package.
• Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
• Flexible Time Off.
• We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.

The San Francisco, CA base pay range for this role is $168,000 - $231,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. 

Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

About the role:

We are looking for a Forward-Deployed Engineer to join our Professional Services team. This is not a traditional consulting role—you will embed directly with our most strategic enterprise customers to drive transformational outcomes across frontend modernization, platform migrations, and AI adoption.

In this role, you will lead complex Next.js migrations, architect high-performance applications, and build production AI solutions—all within customer environments. You'll work hands-on-keyboard alongside customer teams, whether you're migrating a legacy React application to App Router, conducting a deep-dive code audit, or deploying production agents using Vercel's AI SDK. You will be equally comfortable leading a technical discovery session with engineering leadership as you are refactoring a complex rendering strategy or optimizing an agentic workflow.

Our Forward-Deployed Engineer operate with high agency and autonomy. You'll navigate ambiguous enterprise environments, assess technical debt, design migration strategies, and deliver measurable business value—all while building long-term relationships that expand our partnership with each customer.

You will report to the Director of Professional Services and will be remote-first with significant travel (25-40%) to customer sites for embedded engagements.

What you will do:

1. Lead complex frontend migrations—modernizing legacy React, Vue, or other frameworks to Next.js, including Pages to App Router transitions, incremental adoption strategies, and large-scale codebase transformations.
2. Conduct technical assessments and code audits, analyzing customer codebases for performance bottlenecks, architectural anti-patterns, and optimization opportunities—delivering actionable roadmaps that drive measurable improvements.
3. Architect and implement high-performance Next.js applications, leveraging App Router, Server Components, streaming, ISR, edge functions, and advanced rendering strategies to meet enterprise scale and performance requirements.
4. Optimize Core Web Vitals and application performance, using tools like Vercel Speed Insights to diagnose issues and implement fixes that improve SEO, conversion rates, and user experience.
5. Build production AI solutions using Vercel's AI SDK and AI Cloud—including conversational interfaces, production agents, MCP servers, and agentic workflows that transform customer operations.
6. Embed with strategic customers to build production applications—working within their systems, understanding their constraints, and shipping TypeScript code that goes live.
7. Drive enablement and knowledge transfer through workshops, pair programming, and documentation—ensuring customer teams can extend and maintain solutions independently.
8. Navigate complex enterprise environments by building relationships with stakeholders across engineering, product, and executive teams—translating technical capabilities into business outcomes.
9. Participate in pre-sales activities by providing technical expertise during discovery calls, scoping sessions, and proposal development for migrations, audits, and AI transformation engagements.
10. Contribute to our service evolution by identifying repeatable patterns, building reusable components, and sharing implementation insights back to Product and Engineering teams.

About you:

• 5+ years of experience in software engineering with at least 2 years in a customer-facing technical role (consulting, solutions engineering, forward deployed engineering, or technical founder experience).
• Expert-level TypeScript skills—this is your primary language. You write production TypeScript daily and have strong opinions on type safety, patterns, and tooling.
• Deep expertise in Next.js, with a proven track record of architecting and delivering complex applications using App Router, Server Components, server-side rendering (SSR), static generation (SSG), incremental static regeneration (ISR), and edge functions.
• Demonstrated experience leading frontend migrations—you've modernized legacy applications to Next.js, navigated incremental adoption strategies, and understand the challenges of migrating large codebases in production environments.
• Mastery of React and its ecosystem, including advanced state management, performance optimization, and modern patterns like streaming, suspense, and concurrent features.
• Production experience with LLMs and AI applications, including prompt engineering, agent development, and tool use patterns. Familiarity with Vercel's AI SDK is strongly preferred.
• High agency with comfort in ambiguity—you thrive when given a problem to solve rather than a task to complete, and you can navigate complex organizations to drive outcomes.
• Exceptional communication skills with the ability to conduct technical discovery, present to executives, mentor engineers, and build lasting customer relationships—all with a low-ego, collaborative approach.
• Business acumen to understand customer objectives, translate technical capabilities into ROI, and identify expansion opportunities throughout engagement lifecycles.
• Willingness to travel 25-40% to customer sites for embedded work and relationship building.

Bonus if you:

• Have led large-scale migrations from legacy frameworks (Create React App, Gatsby, custom webpack setups) to Next.js in enterprise environments.
• Have expertise in performance optimization and Core Web Vitals, with experience diagnosing and fixing LCP, CLS, and INP issues at scale.
• Have experience with Model Context Protocol (MCP), building MCP servers, or implementing complex tool-use patterns in production AI applications.
• Have led enterprise AI transformation initiatives, including building production agents that automated manual processes or replaced legacy systems.
• Have worked with micro-frontends, module federation, or multi-team frontend architectures.
• Have contributed to the Next.js, React, or AI SDK open-source projects, or maintain popular related libraries.
• Have experience with enterprise deployment patterns including security reviews, compliance requirements, and multi-region architectures.
• Have a background in financial services, healthcare, retail/e-commerce, or media—industries with complex frontend ecosystems and growing AI adoption.
• Have spoken at conferences or published thought leadership on frontend architecture, migrations, or AI applications.

Benefits:

• Great compensation package and stock options.
• Inclusive Healthcare Package.
• Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
• Flexible Time Off - Flexible vacation policy with a recommended 4-weeks per year, and paid holidays.
• Remote Friendly - Work with teammates from different time zones across the globe.
• We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.

The San Francisco, CA base pay range for this role is $137,000.00 - $207,000.00.  This salary range is an estimate. Actual salary will be based on job related skills, experience and location. Pay ranges outside San Francisco may be  adjusted based on employee location.  The total compensation package also includes benefits and equity-based compensation. Your recruiter can share more about the specific pay range for your location during the hiring process.

Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Are you passionate about building software solutions to solve real customer problems? Do you like fast-paced work environments? Are you passionate about modern programming languages, design patterns, and scalable architectures? You’ll be right at home here!

You will be joining the Enterprise Systems tech community, the vital architectural backbone where Realtor.com’s most ambitious strategic initiatives transform into reality. Our team doesn't just manage software; we build the high-speed 'engine room' that powers the entire business lifecycle—integrating complex sales, billing, inventory, and fulfillment platforms into a seamless, high-scale ecosystem. At Realtor, you will be part of a forward-thinking community dedicated to compressing the distance between business intent and execution. We research and deploy cutting-edge autonomous workflow engines to ensure our customers and internal partners have a best-in-class, friction-free experience. We strive to innovate by building self-healing infrastructures and AI-driven automation that make the transaction journey faster and more intelligent than ever before. Join us to push the boundaries of what’s possible, turning traditional systems of record into dynamic engines of growth, while learning from world-class talent in a culture that thrives on experimentation and impact.

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 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.

Top Reasons to Apply:

• The Opportunity: As a Principal Salesforce Engineer, you will be the lead architect of our mission-critical Salesforce platform. You will design the "paved paths" that allow data to flow effortlessly between Salesforce, our broader enterprise ecosystem to power advanced analytics and Agentforce autonomous workflows. Your deep technical expertise in both declarative and programmatic development will ensure our systems are scalable, secure, and ready for the AI-first era.
• The Scale: We’re managing massive datasets to empower millions of users in a high-velocity 2026 market.
• The Tech Evolution: We’re currently leaning into AI-integrated search and real-time data streaming to stay ahead of the 14% surge in market activity.
• The Impact: Realtor.com is currently the 'Purposeful Portal' for the industry. While the 2026 market is finally stabilizing, the complexity of the transaction remains the biggest hurdle for Americans. By joining as a Principal Engineer, you aren't just managing a CRM; you’re building the high-speed engine that compresses the distance between a buyer’s intent and their new front door.

What will you be doing?

• Architect Multi-Cloud Solutions: Design and implement robust, high-availability architectures across Sales, CPQ, Service, and Marketing Clouds that support Realtor.coms core business functions.
• Lead AI & Agentic Innovation: Spearhead the deployment of Agentforce and Einstein GPT, moving from user-initiated tasks to event-driven, autonomous
  agents that own business outcomes
• Develop High-Scale Integrations: Build secure, high-performance integration patterns using REST/SOAP APIs, and Platform Events to sync Salesforce with downstream fulfillment and finance systems.
• Uphold Engineering Excellence: Define and enforce standards for code quality (Apex, LWC), security (Zero-Trust), and DevOps (CI/CD) to ensure platform stability and 99.9% availability.
• Mentor & Influence: Act as a technical mentor to Senior and Lead engineers across multiple squads, driving consensus on complex architectural decisions through RFCs and design reviews.
• Optimize Performance: Deep-dive into complex performance bottlenecks, optimizing SQL queries, async processing, and platform limits to handle rising data volumes.

What will you bring?

• Extensive Platform Expertise: 12+ years of hands-on Salesforce development experience with a proven track record of delivering global enterprise-scalevsolutions.
• Deep Technical Roots: Expert-level proficiency in Apex, Lightning Web Components (LWC), and advanced Flows, with a strong intuition for when to use "clicks vs. code".
• AI & Data Fluency: Hands-on experience implementing Salesforce AI capabilities (Agentforce, Prompt Builder) and Data Cloud harmonization.
• Systems Architecture: Mastery of integration patterns, event-driven architecture, and managing complex multi-org or consolidated environments.
• Security & Compliance Mastery: Deep understanding of the Salesforce security model (Shield, Event Monitoring) and its alignment with global standards like GDPR and CCPA.
• Advanced Certifications: At least one Architect-level certification (e.g., Application, System, or Integration Architect). Certified Technical Architect (CTA)
  or AI Specialist is highly preferred.
• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

How We Work:

We balance creativity and innovation on a foundation of in-person collaboration. Our employees work three days in our Austin headquarters, where they have the opportunity to collaborate in-person, adding richness to our culture and knitting us closer together.

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 degreed and non-degreed programs
• 1:1 personalized Financial Planning Sessions
• Student Debt Retirement Savings Match program
• Free snacks and refreshments in each office location

About the team

The Applied AI Engineering team ensures our customers get the optimal experience from DevRev. As customers go through their DevRev journey, they may identify needs for integration with existing enterprise systems and services, workflow and process automation, or customization of the DevRev platform to achieve their business objectives. Our team works with customers to understand requirements and design, develop, and implement solutions to meet customer goals.

Your mission is to systematically help customers find value with DevRev by developing a thorough understanding of their needs, owning coordination between internal and external stakeholders, and engineering the solution to get the job done. You are a product expert and will use your application development and AI/ML skills to ensure our customers get the most out of the DevRev platform.

About the role

As a Forward Deployed Engineer at DevRev, you will work closely with our post-sales Customer Experience team to help customers unlock value through AI. You will design and deploy intelligent agents, automated workflows, and integrations that transform how customers operate — connecting DevRev to their broader ecosystem and putting AI to work across their most important business processes. Where needed, you will build custom applications and solutions in TypeScript, JavaScript, Python, and related languages to bring these experiences to life.

You will employ your creativity and technical expertise to ideate and shape how AI, analytics, and workflows are used in customers’ processes. You are a product expert focused on implementation — building, shipping, and iterating to ensure customers get the most out of the DevRev platform.

What You’ll Do

• Customer-Facing: 30% working directly with customers
• Coding & Integration: 70–80% hands-on technical implementation

Build & Deploy

• Build & Deploy Solutions: Design, develop, and launch AI agents, integrations, and automations connecting DevRev with customer environments
• Integrate Systems: Connect DevRev with SaaS and non-SaaS platforms through APIs, webhooks, and real-time communication architectures for seamless data flow
• Optimize AI Performance: Apply prompt engineering, fine-tune semantic search engines, and leverage generative AI techniques to enhance agent accuracy and user experience

Data & Insights

• Own Data Insights: Write SQL queries, perform data analysis, and build dashboards to surface insights that drive customer decision-making
• Prototype & Iterate: Develop rapid proofs-of-concept, conduct live technical demos, and refine solutions based on customer and stakeholder feedback

Collaboration & Enablement

• Lead Cross-functional Collaboration: Maintain constant communication loops with customers, engineering, product, and customer success teams
• Guide Technical Adoption: Learn and master new tools, then guide customers through critical workflows
• Travel Ready: Willingness to travel up to 30% for on-site implementations, technical workshops, and customer engagements

What You Bring

• Experience: 3–5+ years in software development, systems integration, or platform engineering. Customer-facing experience is a plus
• Coding Skills: Strong proficiency in TypeScript, JavaScript, Python, data structures and algorithms.
• Applied AI Knowledge: Familiarity with LLMs, prompt engineering, frameworks like RAG and function calling; ability to build and configure AI agents
• Integration: Deep experience with API integration patterns (REST, GraphQL, webhooks), large-scale data synchronization, and event-driven/pub-sub architectures
• Cloud & Deployment: Hands-on experience deploying on serverless and edge platforms (AWS Lambda, Google Cloud Functions) with modern DevOps practices
• Data Transformation: Skilled in data mapping, schema alignment, and working with heterogeneous systems
• Observability: Experience implementing clear logging, actionable error surfacing, and telemetry to support faster debugging
• Communication: Strong written and verbal skills; ability to engage customers clearly and confidently
• Background: Bachelor’s or Master’s degree in Computer Science, Engineering, or related discipline

ICON is looking for a pragmatic builder who has made the leap from traditional software engineering into the emerging world of agentic AI development to join our Government Technology team. As an AI Software Engineer at ICON, you will be responsible for designing and shipping AI-powered tools, workflows, and autonomous agents that accelerate ICON's construction technology platform. This role reports to the Senior Director, Defense Technology Programs and is a full-time on-site position based on our Austin, TX campus.
 

RESPONSIBILITIES

• Design and build agentic AI systems that automate complex, multi-step workflows across ICON's software platform
• Develop LLM-powered features and products using state-of-the-art foundation models and APIs (e.g. Anthropic, OpenAI)
• Architect and implement multi-agent pipelines, tool-use systems, and Model Context Protocol (MCP) integrations
• Build robust RAG systems including document ingestion, chunking strategies, embedding pipelines, and vector retrieval
• Collaborate with software and domain teams to identify high-leverage AI automation opportunities and translate them into shipped products
• Own the full development lifecycle of AI features: prototyping, evaluation, deployment, and iteration
• Serve as a technical resource and informal mentor on agentic AI best practices across the engineering organization
• Stay at the leading edge of the agentic AI landscape and bring emerging techniques into production

MINIMUM QUALIFICATIONS

• 8+ years of professional software engineering experience with a strong foundation in backend or full-stack development
• Demonstrated experience building and shipping production-grade products using LLMs and agentic frameworks
• Proficiency in TypeScript and/or Python
• Deep understanding of prompt engineering, context management, and LLM reasoning patterns
• Experience with tool-use, function calling, and agent orchestration (e.g. LangChain, LlamaIndex, Claude Code, or custom implementations)
• Proficiency in the design and execution of structured evals to measure and improve AI system performance
• Strong communication skills and comfort working cross-functionally with both technical teams and non-technical stakeholders
• Experience working in or alongside government, defense, or regulated environments
• Strong experience working with code generation agents (e.g. Claude Code, Cursor, Devin-style systems)

PREFERRED SKILLS AND EXPERIENCE

• Experience with MCP (Model Context Protocol) server development and integration
• Familiarity with vector databases (e.g. pgvector, Pinecone, Weaviate)
• Experience with fine-tuning, RLHF, or model evaluation pipelines
• Strong background in ML fundamentals: embeddings, transformers, attention mechanisms
• Exposure to structured output generation and LLM-based data extraction
• Familiarity with AWS and serverless infrastructure for AI workloads
• Interest or background in the AEC (architecture, engineering, construction) industry

Realtor.com is looking for a Sr. AI Solutions Engineer to turn business challenges into practical AI solutions. You will collaborate with teams to uncover pain points, build rapid prototypes, and coach colleagues so they can extend what you start. Your work will span three of our internal AI tracks: Assist (knowledge copilots), Automate (workflow agents), and Compose (low-code apps). If you thrive on analyzing problems, building hands-on solutions, and teaching others, this role is for you. Join us as our newest Sr. AI Solutions Engineer, and help change the world of real estate, one home at a time.

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.

Top Reasons to Apply:

• Pioneer a first-of-its-kind role at Realtor.com – Shape the future of AI developer productivity by building the foundational systems, tools, and workflows from the ground up.
• Drive AI adoption and learning across the company – Help design, teach, and scale AI best practices that will empower teams across Product, Engineering, Marekting, Finance, Ops, & Revenue.
• Make a big impact while leveling up your own skills – Contribute meaningfully to Realtor.com's AI strategy and enjoy continuous learning opportunities in one of tech’s fastest-moving spaces.

What You'll Do:

• Discover and design - Interview stakeholders, map workflows, estimate impact, and choose whether Assist, Automate, or Compose is the right fit, using discovery templates in Miro.
• Prototype Assist solutions - Stand up knowledge copilots with Glean Search and Assistant, Gemini for Workspace, etc. including prompt libraries and retrieval configs.
• Develop/Automate solutions - Build agentic workflows with Google ADK, LangChain, CrewAI, n8n, etc. and harden the winners into production.
• Create Compose solutions - Create fullstack AI applications with integrations across various internal tools. Own and maintain the full lifecycle of these applications, from frontend and backend development, production implementation, cloud resource management, and hand off runbooks to business owners.
• Teach and evangelize - Produce AI flight-school decks, hands-on labs, prompt cheat sheets, and run office hours so PMs, analysts, and ops teams can build confidently.
• Measure and iterate - Track adoption, demo outcomes at town halls, and feed lessons into the next solution cycle.

What You'll Bring:

• Experienced in stakeholder discovery, process mapping, and turning requirements into clear AI use cases.
• Hands-on with Assist and knowledge retrieval tools such as Glean, Gemini, Windsurf, or Claude Code and be able to fine-tune retrieval settings.
• Comfortable with Automate tooling like Glean Agents, Vertex AI and can chain steps across APIs.
• Experience with cloud-based development, deployment, and architecture, including tools and technologies such as CircleCI, Kafka, Kubernetes, GraphQL, MySQL, PostgreSQL, AWS services (EC2, S3, RDS), and GCP
• Familiarity with CI/CD pipelines, automated testing, and deployment best practices
• Exposure to monitoring systems, incident alerting, and service reliability practices to support SLAs
• Skilled at crafting and refining LLM prompts, context engineering, MCPs, A2A protocol, Human-in-the-loop evaluation and feedback, and explaining basics to newcomers.
• 3-5 years of experience with data and APIs (SQL, REST, JSON, CSV), and able to integrate them into AI workflows.
• Bachelor's degree in Computer Science/Engineering or related field or related experience
• Natural educator who has led workshops or produced self-serve guides that stick.
• Iterative by nature, quick to test, learn, and refine without needing a formal CS degree.

How Success is Measured in Year 1:

• Four Assist-track prompt libraries are relied on by at least 70 percent of their target users.
• Three Automate-track agents you built run daily and save teammates at least fifteen minutes each week.
• Product managers can create working Compose-track prototypes in under a day using the starter kit and templates you delivered.

How We Work:

We balance creativity and innovation on a foundation of in-person collaboration. For most roles, our employees work three or more days in our offices, where they have the opportunity to collaborate in-person, adding richness to our culture and knitting us closer together.

How We Reward You:

Realtor.com is committed to investing in the health and wellbeing 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 degreed and non-degreed programs
• 1:1 personalized Financial Planning Sessions
• Student Debt Retirement Savings Match program
• Free snacks and refreshments in each office location

Do the best work of your life at Realtor.com®

Here, you’ll partner with a diverse team of experts as you use leading-edge tech to empower everyone to meet a crucial goal: finding their way home. And you’ll find your way home too. People are our foundation—the core that drives us passionately forward. At Realtor.com®, you’ll bring your full self to work as you innovate with speed, serve our consumers, and champion your teammates. In return, we’ll provide you with a warm, welcoming, and inclusive culture; intellectual challenges; and the development opportunities you need to grow.

Diversity is important to us, therefore, Realtor.com® is an Equal Opportunity Employer regardless of age, color, national origin, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status as a disabled veteran and/or veteran of the Vietnam Era or any other characteristic protected by federal, state or local law. In addition, Realtor.com® will provide reasonable accommodations for otherwise qualified disabled individuals.

We are seeking a Senior Software Engineer with deep expertise in web frontend development to join our AI Integrations team. You will be responsible for building and scaling the web experiences - working at the intersection of AI and consumer-facing products.

The AI Integrations Team is a cross-functional squad that builds the future of how Realtor.com integrates AI across its products. This includes ownership over projects such as:

• Realtor.com ChatGPT AppSDK
• AI-Powered Home Search on Realtor.com web and native applications
• Shared Infrastructure & Platform for all Engineer Teams to build 

Technical Leadership

• Design and implement scalable, performant frontend architectures for AI-powered features
• Build embedded webviews that run across desktop, mobile web, iOS, and Android
• Make critical technical decisions about frameworks, libraries, and architectural patterns
• Drive best practices for React, TypeScript, GraphQL, and modern web development
• Participate in technical design reviews and architecture discussions
• Contribute to team processes, standards, and engineering culture
• Collaborate with iOS and Android engineers to ensure consistent experiences
• Partner with backend engineers to surface AI outputs effectively in the UI

What you'll bring: 

• 5+ years of professional frontend development experience
• Bachelor’s degree or equivalent experience
• Expert-level proficiency in React and modern JavaScript/TypeScript
• Deep understanding of state management patterns (Redux, Zustand)
• Strong CSS skills including responsive design, animations, and modern layout techniques
• Experience with styled-components or CSS-in-JS libraries
• Proficiency with GraphQL clients
• Experience building real-time, interactive web applications
• Understanding of Web APIs (WebSocket, Service Workers, localStorage, etc.)
• Knowledge of performance optimization techniques (lazy loading, caching)
• Understanding of monitoring and observability tools (New Relic, Datadog)

AI Integration Experience (Bonus)

• Experience building UI for AI-powered features or LLM applications
• Understanding of prompt engineering and conversational UI patterns
• Experience with streaming responses and progressive rendering of AI outputs
• Experience with web-animation libraries and interaction design (motion.dev)

What you'll do: 

Technical Excellence

• Independently design and implement complex frontend systems
• Make sound architectural decisions that balance trade-offs
• Write clean, maintainable, well-tested code that sets the standard for the team
• Identify and resolve performance bottlenecks and technical debt
• Stay current with industry trends and evaluate new technologies

Impact & Ownership

• Own entire features end-to-end from design through deployment
• Anticipate problems and proactively address them
• Make data-driven decisions about technical direction
• Deliver high-quality work consistently on schedule

Why join us:

Cutting-Edge Technology

• Work with the latest AI technologies from leading providers
• Build interfaces that leverage LLMs in production
• Shape the future of AI-powered real estate search at scale
• Millions of users rely on Realtor.com to find their next home
• Your work directly affects major life decisions for consumers
• Launch features that transform how people search for real estate

Growth

• Work alongside Staff and Principal engineers who will challenge and support you
• Exposure to full-stack technologies including mobile, backend, and AI
• Clear path to career growth with opportunities for technical leadership

How we work:

We balance creativity and innovation on a foundation of in-person collaboration. For most roles, our employees work three or more days in our offices, where they have the opportunity to collaborate in-person, adding richness to our culture and knitting us closer together.

How We Reward You:

Realtor.com is committed to investing in the health and wellbeing 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 degreed 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!

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

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).

About the role

Behind many of life’s most important transactions — buying a house, applying for a mortgage, getting a small business loan, or refinancing a credit card — is a network of credit relationships. Setpoint provides critical operational infrastructure for relationships between the world’s largest banks, credit funds and capital markets counterparties. We’re building trust in this system of credit. 

We’re looking for a Capital Solutions Manager to join our team and serve as the bridge between our clients and our engineering organization. You’ll take ownership of live client portfolios across Data OS and Insight OS, our data management and analytics platforms.

This isn’t a back-office analytics role. You’ll be client-facing from day one, owning deal relationships, translating complex structured finance requirements into engineering specs, and ensuring that every dashboard, data pipeline, and export meets institutional-grade standards. 

This is an opportunity to be an early owner of a fast-growing product lines (Data OS and Insight OS) at a fast-growing platform. You’ll be a co-owner of creating tech solutions for lenders and borrowers in asset backed credit.  We have a strong ethos of promoting from within, and you'll be given ample opportunities for career development and advancement.

Who will love this job

• You’re a doer: You own outcomes and set the pace.
• You’re a clear communicator: You can work effectively across credit, product, and engineering teams.
• You thrive in ambiguity: You can take a problem and run end-to-end without a playbook.
• You’re frustrated by the status quo: You’ve seen how much of structured finance still runs on spreadsheets and want to fix it.
• You’re hands-on across domains: You can parse a borrowing base certificate and translate it into clear requirements for engineering.
• You’re detail-obsessed: You catch data inconsistencies others miss and care deeply about accuracy.
• You’re curious: You’re excited about how AI and automation are transforming financial operations.

What you’ll do

• Own client portfolios end-to-end. Serve as the primary point of contact for assigned clients across Data OS and Insight OS — managing onboarding, success, and supporting growth.
• Translate our customer’s structured finance needs for Engineering. Act as the bridge between our clients and our product/engineering organization for Data OS and Insight OS. Define what needs to be built, flag what may be custom work, write the specs, review the output, and validate that dashboards and data pipelines match analytical intent.
• Own the accuracy of Setpoint’s data layer across your assigned portfolio. Lead data quality assessments on incoming loan tapes and client deliverables — identifying anomalies, missing fields, and population gaps before they reach production. 
• Supervise offshore implementation resources. Directly manage a team of offshore analysts supporting data ingestion, validation, and reporting workflows. Set priorities, review work product, and ensure delivery standards are met.
• Leverage AI-powered workflows and internal tooling. Use and help refine our internal AI-assisted deal workflows — from automated data quality checks to metric design and schema mapping — to accelerate delivery and improve consistency across client portfolios.
• Make us better. Contribute to product priorities, onboarding playbooks, sector templates, and process documentation that make our delivery engine repeatable as the portfolio grows.

You should have

• 3–6 years in private credit, asset-backed lending, or structured finance. You’ve worked with loan tapes, servicer reports, borrowing base certificates, or compliance packages — not just in theory, but hands-on. Experience across multiple asset classes (consumer, auto, fund finance, CRE) is a strong plus.
• Demonstrated client management experience. You’ve owned client relationships — running calls, managing expectations, resolving issues — in a professional services, advisory, or platform context. You’re comfortable being the face of the company to institutional investors and lenders.
• Strong analytical and data skills. Expert-level Excel is baseline. Comfort with SQL, Python, data pipelines, or business intelligence tools (Metabase, Tableau, etc.) is highly valued. You don’t need to write production code, but you should be able to read a data schema, trace a metric back to its source field, and spot when something doesn’t add up.
• Experience writing technical specifications or engineering handoff documents. You’ve translated business requirements into structured artifacts — field mappings, data dictionaries, logic definitions, or acceptance criteria — that a technical team can execute against.
• Comfort with AI/LLM tooling and automation. You don’t need to be an AI engineer, but you should be excited about using AI-assisted workflows to accelerate data analysis, quality checks, and specification writing. Familiarity with prompt engineering or AI copilot tools is a plus.
• Team supervision experience. You’ve managed or coordinated the work of junior analysts, offshore teams, or cross-functional workstreams. You can set priorities, review deliverables, and maintain quality without micromanaging.
• Ability to operate independently in ambiguous environments. You can take a vague client request, figure out what’s actually needed, scope the work, and deliver — without someone laying out every step. You handle tight timelines and competing priorities without losing quality.

Setpoint provides purpose-built capital and technology to asset-backed borrowers and lenders. Our platform is the funding operating system for originators: it verifies and stores documents; automates critical calculations and compliance reporting; and digitizes assets like homes or cars. Setpoint’s technology makes warehouse transactions instant and error free.

In August 2024, Setpoint announced the successful completion of its $31 million Series B funding round. 645 Ventures led the round, with significant strategic investments from Citi and Wells Fargo, alongside Andreessen Horowitz, NextView Ventures, Floating Point, Henry Kravis, Zillow founder’s 75 & Sunny, Vesta Ventures, Fifth Wall, Eltura Ventures, and Outrunner Capital. 

We offer a comprehensive benefits package that includes competitive salaries, stock options, medical, dental, and vision coverage, 401(k), short term and long term disability coverage, and flexible vacation. We have offices in Austin, TX, New York City, NY, and Salt Lake City, UT with hybrid roles based in these locations and an expectation of two days a week in office (Tuesdays and Thursdays). 

Compensation: $140,000 - $160,000 dependent on multiple factors, which may include the successful candidate's skills, experience and other qualifications.

Setpoint provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Where we Work

Udemy is a global company headquartered in San Francisco, with additional U.S. offices in Denver and Austin, and international hubs in Australia, India, Ireland, Mexico, and Türkiye. 

About your skills

• Communication & Stakeholder Management – Ability to articulate technical concepts to both technical and non-technical audiences, including customers, sales teams, and internal stakeholders.

• Collaboration & Cross-Functional Coordination – Works effectively across sales, customer success, engineering, and product teams to drive successful customer implementations.

• Adaptability & Fast Learning – Thrives in a fast-paced environment, quickly learning new technologies and adjusting to evolving business and customer needs.
   

About the role

We are looking for a Solution Engineer to partner with our sales teams in engaging our top enterprise customers. This role is responsible for helping customers map the Udemy platform to their business outcomes, guiding them through discovery conversations, and delivering compelling presentations to audiences ranging from small executive groups to large-scale rooms of 100+ stakeholders.

This is not a programming role. Instead, it requires the ability to tell a story, uncover the “why” behind customer needs, and translate those insights into meaningful value with Udemy’s platform in a solution consulting manner.

What you'll be doing

• Partner with Account Executives on strategic accounts to lead discovery, understand customer goals, and identify how Udemy can drive measurable outcomes.

• Deliver compelling presentations and demos that resonate with diverse audiences, from frontline managers to C-level executives.

• Ask insightful discovery questions to uncover root challenges and the "why" behind a customer’s initiative.

• Translate business challenges into a tailored Udemy solution narrative.

• Serve as the trusted advisor on Udemy’s learning solutions, guiding prospects and customers on best practices.

• Participate in workshops, webinars, and events as a thought leader to showcase the value of Udemy to larger audiences.

• Collaborate cross-functionally with product, marketing, and customer success teams to ensure feedback loops from the field.

• Support RFPs/RFIs by providing clear, value-focused responses aligned to customer objectives.

• Proof of Concepts: Develop and handle effective Proof of Concepts (PoCs) for executives and decision-makers.

• Understanding of sales process/ methodology (MEDDPICC etc.)

What Success Looks Like

• You consistently uncover the real business drivers behind customer interest in Udemy.

• You deliver high-impact presentations that inspire confidence and action.

• You help close deals by mapping Udemy’s capabilities to customer priorities.

• Customers view you as a trusted advisor who understands both their industry challenges and how Udemy can solve them.

• You become an expert on understanding the Udemy technology stack

What you'll have

• 4+ years in a pre-sales, solution engineering, solution consulting, or similar role at a SaaS or enterprise software company.

• Exceptional presentation skills; comfortable presenting to executive audiences and large groups (100+ people).

• Strong discovery skills — ability to uncover, clarify, and articulate business drivers.

• Proven ability to craft compelling stories that connect customer needs to platform value.

• Strong business acumen and ability to connect technology to measurable business outcomes.

• Experience partnering closely with enterprise sales teams.

• Excellent communication, relationship-building, and influencing skills.

• Experience with AI prompt engineering and foundational AI agent configuration is required, with the expectation that candidates will actively deploy these capabilities to extend presales capacity and improve deal-cycle efficiency
   

Nice to Have

• Experience in learning technology, HR tech, or related SaaS solutions.

• Familiarity with enterprise learning and development challenges.

Posting Date: 3/30/2026
Application Window: We anticipate the application window will be open until April 13th, 2026. Based on business needs, this opportunity may remain posted beyond or closed before the anticipated application window.

Who We Are Looking For

We are looking for an Offensive Security Engineer who operates with clear ownership. You’re not just filling a seat. You’re setting the standard. You believe great execution brings strategy to life.

How You Operate

You bring mission-driven grit to every challenge, running toward hard problems rather than away from it. You prioritize customer outcomes over internal processes and choose truth and clarity over performative politeness. We look for builders with a bias for action—people who own the fix when things break, share credit with the team, and possess the intellectual humility to care more about getting to the right answer than being right.

What You Will Own

• Own the Outcome: Execute challenging security projects for our PS and MSP customers, ensuring technical precision and successfully resolving complex client needs.
• Take Accountability: Be accountable for the success of unique engagements by developing custom methodologies, payloads, exploits, and tools when off-the-shelf solutions aren't enough.
• Raise the Bar: Continuously improve the bridge between services and product by identifying vulnerability trends in the field and translating them into tangible improvements.
• Drive Impact: Proactively develop new Chariot capabilities based on the specific security vulnerabilities identified during PS security projects.
• Scale Expertise: Aggressively learn as much as possible about the industry and offensive security landscape to ensure the team remains on the bleeding edge of tradecraft.

What You Bring

• The Foundation: A Bachelor’s degree in Computer Science, Engineering, Mathematics, or Physics, backed by 0–2 years of experience or relevant internships in cybersecurity, startups, or high-tech environments.
• Technical Fluency: You have experience writing software or scripts using common offensive security languages, specifically Go (Golang), Python, PowerShell, or Bash.
• Domain Expertise: You have early experience or a demonstrated passion for Product Security (App/Mobile/LLM), Cloud Security (AWS/Azure/GCP), Web/Network Penetration Testing, Red Teaming, or IoT/Embedded Security.
• Offensive Security Mindset: You don't just work 9-to-5; you compete. You have notable achievements in CTFs (CCDC, CPTC) or on testing platforms like Hack The Box, TryHackMe, or PortSwigger.
• The "Plus One" Edge: You go beyond the basics with verifiable contributions to vulnerability research (CVEs), exploit development, or open-source offsec projects. Familiarity with AI prompt engineering for tool/payload generation is a strong plus.
• Certifications: You hold or are actively pursuing industry-recognized certifications such as OSCP, OSEP, PNPT, BSCP, OSWE, or relevant cloud certifications.

If This Position Is Wildly Successful, In One Year You Will Have:

• Delivered high-impact findings across multiple engagement types — red team operations, application security assessments, cloud security reviews — that materially improved clients' security posture and drove repeat engagements
• Developed custom methodologies, payloads, exploits, and tools that solved problems off-the-shelf solutions couldn't, advancing the team's offensive capabilities and contributing to Praetorian's reputation for technical excellence
• Produced clear, actionable reports that resonated with both technical practitioners and executive stakeholders — driving remediation, building client trust, and reinforcing Praetorian's credibility in the field
• Contributed meaningfully to Guard's capabilities by identifying recurring vulnerability trends in the field and translating them into tangible platform improvements that scale your impact beyond individual engagements
• Integrated AI tooling into your offensive workflows — using it to automate reconnaissance, accelerate payload development, and move faster through complex environments without sacrificing depth or precision
• Demonstrated versatility across the threat landscape — from traditional infrastructure and web applications to cloud-native environments and AI/ML systems — reflecting the evolving nature of modern attack surfaces
• Contributed research, blog posts, or conference presentations that elevated Praetorian's thought leadership in the offensive security community
• Mentored junior engineers and contributed to a culture of continuous learning, raising the technical floor across the team through your example and your investment in the people around you

We’re looking for engineers who think differently about how software gets built. 

Our Product Development team is growing, and we’re hiring a Software Engineer who actively uses modern AI tooling and agents as part of their real development This isn’t a “prompt engineering” role — it’s a hands-on engineering role for someone who understands how cloud systems work and uses AI tools to ship faster without compromising quality. 

NOTE: This is a hybrid role located in South Austin (near Dripping Springs). Sponsorship is not available for this position.  

ABOUT THE ROLE 

• Design and implement scalable services in a cloud environment
• Contribute to architecture decisions with guidance from senior engineers
• Build and maintain APIs and service integrations
• Use AI agents to assist with coding, testing, refactoring, and debugging
• Review and validate AI-generated code for correctness and maintainability
• Improve performance, reliability, and observability of existing systems
• Collaborate cross-functionally to translate business needs into technical solutions
• Continuously evaluate and improve your AI-assisted development workflow 

ABOUT YOU 

• 3–6 years of experience shipping production software
• Experience building or contributing to cloud-based applications (AWS, Azure, GCP, or similar)
• Understanding of service-based or microservices architectures
• Experience designing and consuming RESTful APIs
• Familiarity with databases (SQL and/or NoSQL)
• Experience with Docker (or similar), CI/CD pipelines, and Git
• Strong debugging and problem-solving skills 

We are not optimizing for a specific programming language. We care more about your system understanding and engineering judgment. 

AI Expectations 

You don’t need you to have built your own agent framework — but you should: 

• Actively use AI coding assistants in your day-to-day development
• Be able to explain how you validate AI-generated outputs
• Have experimented with running multiple agents or workflows in parallel
• Understand when not to rely on AI
• Be thoughtful about code quality, security, and edge cases 

We’re interested in how you think about leverage, not just how fast you type. 

Bonus Points 

• Experience working on high-availability SaaS platforms
• Familiarity with messaging systems (Kafka or similar)
• Experience with infrastructure-as-code
• Exposure to observability tools (monitoring, tracing, alerting)
• Experience integrating AI services or APIs into applications 

ADDITIONAL APPLICATION REQUIREMENT (Required) 

Along with your resume, please submit a ~3-minute screen recording showing how you incorporate AI agents into your development workflow. You may email it to hr@lightspeedsystems.com. We’re not evaluating production polish — we’re evaluating how you think and how you use AI as a tool. 

ABOUT PLACER.AI: 

Placer.ai is transforming how organizations understand the physical world. Our location analytics platform provides unprecedented visibility into locations, markets, and consumer behavior. Placer empowers thousands of customers—from Fortune 500 companies, to local governments and nonprofits— to make smarter, data-driven decisions.

What sets us apart? We've built the most advanced location intelligence platform in the market while maintaining an uncompromising commitment to privacy, proving that powerful analytics and responsible data practices can coexist.

Our growth reflects the market's demand: we reached $100M in annual recurring revenue within just 6 years of launching, achieved unicorn status with a $1B+ valuation in 2022, and continue to expand rapidly as one of North America's fastest-growing tech companies. We're creating a $100B+ market opportunity, and we're just getting started.

Named one of Forbes America's Best Startup Employers and a Deloitte Technology Fast 500 company, we're building a culture where innovation thrives, collaboration is the norm, and every team member contributes to reshaping how the world understands location.

SUMMARY:

We are seeking an experienced Principal Engineer with deep GenAI expertise to lead our GenAI product solutions and development efforts. In this role, you will be responsible for driving the technical vision and architecture of our AI-powered location intelligence platform, building production-ready solutions that transform how businesses understand and leverage location data. You will oversee the full-stack development of our conversational AI system, from LLM integration and agentic workflows to real-time streaming interfaces, while establishing the technical foundation for our next-generation business intelligence tools. If you are a technical leader with 10+ years of software development experience, proven success in production GenAI environments, and a passion for building scalable AI platforms that deliver measurable business impact, we want to hear from you.

RESPONSIBILITIES:

• Lead the technical vision and architecture decisions for our GenAI products, ensuring scalability and performance of the AI-powered location intelligence system.
• Establish technical roadmaps aligned with business objectives and scalability requirements.
• Design and implement end-to-end AI systems from prototype to production, including LLM integration, agentic architectures, and RAG implementations.
• Build robust data pipelines and infrastructure supporting AI/ML workloads at scale.
• Oversee model deployment, fine-tuning, and optimization for production environments.
• Architect scalable microservices and cloud-native solutions supporting real-time AI applications.
• Ensure responsible AI practices including guardrails, performance monitoring, and ethical considerations.

REQUIREMENTS:

• Bachelor's degree or higher in Computer Science, Engineering, or a related field.
• 10+ years of experience in software development, with 1+ years building production GenAI solutions in B2B SaaS environments.
• Expert-level proficiency in backend engineering with Python, Java, Go, or Node.js; proven experience designing microservices architectures and deploying on cloud platforms (AWS, GCP, or Azure). Strong understanding of modern frontend technologies (React/Next.js, TypeScript) and experience architecting full-stack applications with real-time data streaming and WebSocket integrations.
• Hands-on experience building and deploying LLM-powered applications using frameworks such as LangChain, LlamaIndex, and APIs from OpenAI, Anthropic, or open-source models.
• Experience implementing agentic AI architectures with tool calling, memory systems, and multi-step reasoning capabilities for complex business workflows.
• Demonstrated expertise in RAG (Retrieval-Augmented Generation) systems, vector databases (Pinecone, Weaviate, ChromaDB), and semantic search implementations.
• Strong foundation in data engineering: designing and optimizing data pipelines, ETL processes, and data infrastructure to support AI/ML workloads.
• Proven track record of taking GenAI models from prototype to production, including fine-tuning LLMs, prompt engineering, and implementing guardrails for responsible AI.
• Experience with MLOps practices: model versioning, A/B testing, monitoring model performance, and managing the full ML lifecycle in production environments.
• Skilled at translating business requirements into technical solutions and collaborating with cross-functional teams including product managers, data scientists, and stakeholders.

WHY JOIN PLACER.AI?

• Join a rocketship! We are pioneers of a new market that we are creating.
• Take a central and critical role at Placer.ai.
• Work with, and learn from, top-notch talent.
• Competitive salary.
• Excellent benefits.

NOTEWORTHY LINKS TO LEARN MORE ABOUT PLACER

• About Placer.ai
• Placer.ai's $100M round C funding (unicorn valuation!)
• See our data in action at The Anchor
• Placer.ai in the news
• Video: About Placer for Commercial Real Estate

Placer.ai is committed to maintaining a drug-free workplace and promoting a safe, healthy working environment for all employees.

Placer.ai is an equal opportunity employer and has a global remote workforce. Placer.ai’s applicants are considered solely based on their qualifications, without regard to an applicant’s disability or need for accommodation. Any Placer.ai applicant who requires reasonable accommodations during the application process should contact Placer.ai’s Human Resources Department to make the need for an accommodation known.