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Software Engineer - AI
Just Appraised Inc. · Remote (United States), United States · Remote · Active · Rippling ATS
Job facts
| Field | Value |
|---|---|
| Company | Just Appraised Inc. |
| Title | Software Engineer - AI |
| Normalized title | - |
| Department / team | Engineering |
| Location | United States |
| Work model | Remote / Remote |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | Rippling ATS |
| Posted / first seen | 2026-02-07 / 2026-05-29 |
| Changed / last seen | 2026-06-06 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Just Appraised Inc.. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Rippling ATS. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| Department jobs | Active postings in Engineering. | Open |
| Work model jobs | Active Remote postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Just Appraised Inc. |
| Source | 86b04a8f-a7a1-4cf5-b349-8d4c7f5d17f7 |
| ATS provider | Rippling ATS |
Description
company
At Just Appraised, we’re replacing outdated, manual local government workflows with modern software used by hundreds of government agencies across the United States. Our cutting-edge, AI-powered software, which leverages Natural Language Processing (NLP), replaces manual data entry to eliminate delays, backlogs, and errors. This work directly impacts how communities fund schools, infrastructure, and public services.
About the Role We’re hiring an AI Engineer to help build the systems behind our AI conversation engine and automation platform.
You’ll design and scale AI systems that generate responses, retrieve relevant knowledge, and connect LLM workflows to real government data systems.
This is a role for engineers who enjoy building production AI systems with real applications and impact — not just prototypes.
We don't have QA teams, dedicated designers, or product managers. We believe the best software is built by engineers who are empowered to own the entire journey. Here, you aren’t just executing on a spec; you are the architect, the designer, and the guardian of your code. You will scope the solution, build the interface, and support the production systems that keep local governments running. If you thrive in ambiguity and find "hand-offs" more frustrating than fulfilling, you’ll fit right in. If you prefer a neatly defined roadmap and a team to catch bugs before they ship, we’re likely not the right place for you.
role
What You Will Work On
Examples of problems our AI engineers tackle:
Designing scalable RAG pipelines for government knowledge bases Building conversation engines with memory, context, and state Implementing LLM tooling and function-calling for system integration Designing evaluation harnesses and datasets for AI feature quality Preventing hallucinations and improving grounded response generation Scaling AI features across hundreds of government environments Tech Stack
Backend: Python Data: PostgreSQL AI Systems: LLMs, embeddings, vector retrieval, RAG pipelines Infrastructure: AWS, Docker Developer Tools: GitHub, Linear, Claude Code, Cursor, CI/CD, automated testing We understand that engineers may not be an expert in all of these technologies day one. We value engineers with a growth and learning mindset.
Your Role
Build and evolve our Conversation Engine: powering pre-drafted email, chat, and voice responses, including conversation state, memory, and high-quality response generation. Own the RAG pipeline end-to-end : document ingestion, chunking strategies, embeddings, indexing, retrieval (hybrid/vector), reranking, and grounded response generation. Implement AI Tooling / function calling: connect LLM workflows to internal systems (e.g., account lookup, case context retrieval, knowledge base queries) with strong validation and safe execution patterns. Design evaluation and quality systems for AI features: offline eval harnesses, golden datasets, human feedback loops, monitoring for hallucinations/grounding, and regression prevention. Collaborate with cross-functional teams to define, design, and ship new features. Work closely with business stakeholders and customers to translate requirements into technical specifications and documentation. Mentor and support engineering team members, promoting team efficiency and growth. Troubleshoot and debug complex issues, ensuring timely resolution and platform stability. Optimize application performance, reliability, and scalability, and uphold high standards for clean, maintainable code. Identify and proactively address technical debt and performance bottlenecks to drive iterative product improvement.
What We’re Looking For
2+ years of experience building production software, with strong proficiency in Python programming 2+ years of experience working with and optimizing relational databases (e.g., SQL, PostgreSQL). Experience with cloud infrastructure (AWS or similar) Proven experience working with Large Language Models (LLMs) and building production-ready RAG pipelines. Strong proficiency in API design, data modeling, relational database design, and testing methodologies. Proficiency with modern DevOps practices: version control (Git), containerization (Docker), CI/CD (GitHub Actions), and automated testing frameworks. Most importantly, we look for engineers who:
Care about building reliable AI systems in production Enjoy working on complex real-world problems Take ownership of systems from ideation to deployment
Benefits
Competitive compensation and stock equity plan Comprehensive benefits package that includes medical, dental, vision, and life insurance Company sponsored pre-tax retirement savings program (401k) A flexible work environment that supports working from home Flexible PTO Parental Leave Home office stipend
Full job record
| Job ID | 35e9129b52d5f5d78a0e099c5b03636d60daa7c4 |
| Org ID | 0c668cd6-a154-4b18-a296-f6223cbaef07 |
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| Title | Software Engineer - AI |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Remote (United States), United States |
| Department | Engineering |
| Team | — |
| Employment Type | full_time |
| Workplace Type | remote |
| Remote Policy | remote |
| Country | United States |
| Region | — |
| City | — |
| Salary Raw | — |
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| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://ats.rippling.com/just-appraised-jobs/jobs/33e3751c-1335-4c2e-93df-00dec7b659eb |
| Apply URL | https://ats.rippling.com/just-appraised-jobs/jobs/33e3751c-1335-4c2e-93df-00dec7b659eb |
| First Seen At | 2026-05-29 07:13:33Z |
| Last Seen At | 2026-06-06 08:43:47Z |
| Last Checked At | 2026-06-06 08:43:47Z |
| Last Changed At | 2026-06-06 08:43:47Z |
| Inactive At | — |
| Source Posted At | 2026-02-07 15:14:01Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=rippling/board=just-appraised-jobs/date=2026-06-06/2026-06-06T08-43-46-479Z-4468da7fa35ce34c5e3702b539b69b6c6fa8cb435b42936717ca36f60db9cef4.json |
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"role": "<meta><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:18pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"color:rgb(0,0,0);font-size:18pt;white-space:pre-wrap;\">What You Will Work On</strong></b></p><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Examples of problems our AI engineers tackle:</span></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Designing scalable RAG pipelines for government knowledge bases</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Building conversation engines with memory, context, and state</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Implementing LLM tooling and function-calling for system integration</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Designing evaluation harnesses and datasets for AI feature quality</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Preventing hallucinations and improving grounded response generation</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Scaling AI features across hundreds of government environments</span></li></ul><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Tech Stack</strong></b></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><b><strong style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Backend: </strong></b><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Python</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><b><strong style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Data: </strong></b><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">PostgreSQL</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><b><strong style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">AI Systems: </strong></b><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">LLMs, embeddings, vector retrieval, RAG pipelines</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><b><strong style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Infrastructure: </strong></b><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">AWS, Docker</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><b><strong style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Developer Tools: </strong></b><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">GitHub, Linear, Claude Code, Cursor, CI/CD, automated testing</span></li></ul><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:12pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">We understand that engineers may not be an expert in all of these technologies day one. We value engineers with a growth and learning mindset.</span></p><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:12pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Your Role</strong></b></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"color:rgb(31,31,31);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(31,31,31);font-size:12pt;white-space:pre-wrap;\"></span><b><strong style=\"color:rgb(31,31,31);font-size:12pt;white-space:pre-wrap;\">Build and evolve our Conversation Engine:</strong></b><span style=\"color:rgb(31,31,31);font-size:12pt;white-space:pre-wrap;\"> powering pre-drafted email, chat, and voice responses, including conversation state, memory, and high-quality response generation.</span></li><li style=\"color:rgb(31,31,31);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><b><strong style=\"color:rgb(31,31,31);font-size:12pt;white-space:pre-wrap;\">Own the RAG pipeline end-to-end</strong></b><span style=\"color:rgb(31,31,31);font-size:12pt;white-space:pre-wrap;\">: document ingestion, chunking strategies, embeddings, indexing, retrieval (hybrid/vector), reranking, and grounded response generation.</span></li><li style=\"color:rgb(31,31,31);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><b><strong style=\"color:rgb(31,31,31);font-size:12pt;white-space:pre-wrap;\">Implement AI Tooling / function calling:</strong></b><span style=\"color:rgb(31,31,31);font-size:12pt;white-space:pre-wrap;\"> connect LLM workflows to internal systems (e.g., account lookup, case context retrieval, knowledge base queries) with strong validation and safe execution patterns.</span></li><li style=\"color:rgb(31,31,31);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><b><strong style=\"color:rgb(31,31,31);font-size:12pt;white-space:pre-wrap;\">Design evaluation and quality systems for AI features:</strong></b><span style=\"color:rgb(31,31,31);font-size:12pt;white-space:pre-wrap;\"> offline eval harnesses, golden datasets, human feedback loops, monitoring for hallucinations/grounding, and regression prevention.</span></li><li style=\"color:rgb(31,31,31);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(31,31,31);font-size:12pt;white-space:pre-wrap;\">Collaborate with cross-functional teams to define, design, and ship new features.</span></li><li style=\"color:rgb(31,31,31);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(31,31,31);font-size:12pt;white-space:pre-wrap;\">Work closely with business stakeholders and customers to translate requirements into technical specifications and documentation.</span></li><li style=\"color:rgb(31,31,31);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(31,31,31);font-size:12pt;white-space:pre-wrap;\">Mentor and support engineering team members, promoting team efficiency and growth.</span></li><li style=\"color:rgb(31,31,31);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(31,31,31);font-size:12pt;white-space:pre-wrap;\">Troubleshoot and debug complex issues, ensuring timely resolution and platform stability.</span></li><li style=\"color:rgb(31,31,31);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(31,31,31);font-size:12pt;white-space:pre-wrap;\">Optimize application performance, reliability, and scalability, and uphold high standards for clean, maintainable code.</span></li><li style=\"color:rgb(31,31,31);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(31,31,31);font-size:12pt;white-space:pre-wrap;\">Identify and proactively address technical debt and performance bottlenecks to drive iterative product improvement.</span></li></ul><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:18pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"color:rgb(0,0,0);font-size:18pt;white-space:pre-wrap;\">What We’re Looking For</strong></b></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel 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0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(31,31,31);font-size:12pt;white-space:pre-wrap;\">Proven experience working with Large Language Models (LLMs) and building production-ready RAG pipelines.</span></li><li style=\"color:rgb(31,31,31);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(31,31,31);font-size:12pt;white-space:pre-wrap;\">Strong proficiency in API design, data modeling, relational database design, and testing methodologies.</span></li><li style=\"color:rgb(31,31,31);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(31,31,31);font-size:12pt;white-space:pre-wrap;\">Proficiency with modern DevOps practices: version control (Git), containerization (Docker), CI/CD (GitHub Actions), and automated testing frameworks.</span></li></ul><p style=\"font-family:"Basel 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0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Take ownership of systems from ideation to deployment</span></li></ul><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:18pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"color:rgb(55,62,77);font-size:18pt;white-space:pre-wrap;\">Benefits</strong></b></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"color:rgb(31,31,31);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span 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0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(31,31,31);font-size:12pt;white-space:pre-wrap;\">Flexible PTO</span></li><li style=\"color:rgb(31,31,31);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(31,31,31);font-size:12pt;white-space:pre-wrap;\">Parental Leave</span></li><li style=\"color:rgb(31,31,31);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(31,31,31);font-size:12pt;white-space:pre-wrap;\">Home office stipend</span></li></ul>",
"company": "<meta><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">At Just Appraised, we’re replacing outdated, manual local government workflows with modern software used by hundreds of government agencies across the United States. Our cutting-edge, AI-powered software, which leverages Natural Language Processing (NLP), replaces manual data entry to eliminate delays, backlogs, and errors. This work directly impacts how communities fund schools, infrastructure, and public services.</span></p><h2 style=\"font-family:"Basel Grotesk",Arial,sans-serif;line-height:1.6;font-size:29pt;font-weight:600;letter-spacing:0.5px;margin-top:18px;margin-bottom:4px;padding-left:0px;\"><b><strong style=\"color:rgb(31,31,31);font-size:18pt;white-space:pre-wrap;\">About the Role</strong></b></h2><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">We’re hiring an </span><b><strong style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">AI Engineer</strong></b><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\"> to help build the systems behind our AI conversation engine and automation platform.</span></p><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">You’ll design and scale AI systems that generate responses, retrieve relevant knowledge, and connect LLM workflows to real government data systems.</span></p><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">This is a role for engineers who enjoy building production AI systems with real applications and impact — not just prototypes.</span></p><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:12pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:12pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">We don't have QA teams, dedicated designers, or product managers. We believe the best software is built by engineers who are empowered to own the entire journey. Here, you aren’t just executing on a spec; you are the architect, the designer, and the guardian of your code. You will scope the solution, build the interface, and support the production systems that keep local governments running. If you thrive in ambiguity and find \"hand-offs\" more frustrating than fulfilling, you’ll fit right in. If you prefer a neatly defined roadmap and a team to catch bugs before they ship, we’re likely not the right place for you.</span></p>"
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