--- title: 'Software Engineer (Backend) at Nace AI' canonical: 'https://feeny.ai/job/software-engineer-backend-nace-ai-palo-alto-ngeg006thxey' type: 'job' last_seen: '2026-09-10' --- # Software Engineer (Backend) at Nace AI - **Company:** Nace AI - **Location:** Palo Alto, CA - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-03-17 - **Last confirmed live:** 2026-09-10 - **Apply:** https://jobs.ashbyhq.com/nace.ai/ebfef074-7d3a-4c29-8ac9-d429ef463cb4 ## Job description Role Overview: As a Full Stack Software Engineer, you will be a pivotal force in developing, deploying, and maintaining the end-to-end infrastructure for our advanced AI systems. This includes designing robust backend services, building intuitive and high-performance user interfaces, and ensuring the seamless integration of LLM-based AI Agents. Your expertise will bridge the gap between frontend user experience, backend scalability, and core AI infrastructure, directly impacting system efficiency, reliability, and user-facing capabilities. What You'll Do: - Architect, develop, and maintain scalable full-stack components, including both frontend applications (using modern frameworks like React/Vue/Angular) and robust backend services (leveraging Python/Go/Node.js). - Design and implement APIs and data pipelines that facilitate the smooth deployment and interaction of sophisticated AI Agents and large-scale data processing workflows. - Contribute to the development of core AI agent frameworks, focusing on features like tool integration, memory systems, and planning/orchestration modules. - Develop and implement AI Agent evaluation methodologies and tooling to rigorously test, benchmark, and monitor agent performance, reliability, and safety in production. - Manage and optimize cloud infrastructure (e.g., AWS, GCP, Azure) to ensure high availability, cost-efficiency, and scalability for both the application layer and the underlying AI compute resources. - Participate actively in design discussions, code reviews, and cross-team collaboration to deliver high-quality, production-grade solutions across the entire stack. Minimum Qualifications: - Bachelor's degree in Computer Science, Computer Engineering, related technical discipline, or equivalent practical experience. - 3+ years of experience building and maintaining full-stack software infrastructure, with proven expertise in both frontend and backend development. - Hands-on experience building AI agents, AI agent frameworks/orchestration systems, or complex LLM-powered applications and workflows (e.g., RAG pipelines, multi-agent systems, prompt chaining architectures, or LLM orchestration frameworks). - Practical knowledge of cloud infrastructure management (e.g., Docker, Kubernetes, Terraform) and CI/CD pipelines. - Proven expertise in designing, scaling, and optimizing enterprise-grade ML or data-intensive systems. Preferred Qualifications: - Master's or Ph.D. degree in Computer Science, Computer Engineering, or a related technical discipline. - Demonstrated experience developing and managing large-scale distributed systems and high-throughput AI infrastructures. - Expertise in a modern frontend framework (e.g., React, Vue, Angular) and associated state management libraries. - Experience in developing and deploying AI Agent Evaluation frameworks (e.g., using tools like LangSmith, Arize, or custom evaluation metrics). - Demonstrated success building production LLM applications with complex workflows such as autonomous agents, conversational AI systems, or intelligent automation platforms. ## About Nace AI ## Company Overview - **One-liner**: Nace AI builds long-horizon reasoning models and AI agents that audit, reconcile, and report on financial and compliance data for enterprises. - **Entity Type**: Private (Seed / Series A – $21.5M raised in 2026) - **Headquarters**: Palo Alto, California, United States - **Founded**: 2024 - **Founders**: Zhanibek Datbayev (CTO/Co-Founder), Ritesh Shrivastava (Co-Founder), Sudha Valluru (COO/Co-Founder), Swathi B (Co-Founder), and others ## Core Business - **Primary industries**: Audit, Compliance, Finance, Accounting, Enterprise AI - **Target customers**: B2B enterprise – specifically audit firms, finance departments, compliance teams, and professional services firms - **Mission**: Build long-horizon AI that runs organizations; give professionals their time back by automating high-stakes knowledge work ## Products & Services - **Metamodel**: A specialized small language model (SLM) platform that enterprises can customize with their own policies and knowledge. Used for audit, contract governance, and financial reporting. - **Agentic Accounting**: AI agent that executes end-to-end financial audits, billing audits, and revenue leakage detection by connecting directly to databases. - **Nace Verification Intelligence**: Evidence-based reasoning engine that processes up to 1 million files (PDFs, spreadsheets, databases) to automate SOX 404 reports, contract compliance checks, and due diligence. - **Nace Process Automation**: Automatically maps transaction flows across 10+ disparate databases to visualize and reconcile processes. - **The Macros**: A research preview product that lets power users create custom AI macros for repetitive professional tasks. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed - **Key Metric**: Total funding raised – $21.5M (May 2026 round led by Walden Catalyst Ventures, with participation from General Catalyst, AME Cloud Ventures, AICONIC VENTURES); earlier $5M seed round (April 2025) led by General Catalyst. - **Notable Investors/Partners**: General Catalyst, Walden Catalyst Ventures, AME Cloud Ventures, AICONIC VENTURES - **Growth Signals**: - Launched from stealth in March 2025 with Metamodel 1 - Raised $21.5M within 14 months of founding - Operations in 7 countries (US, Kazakhstan, India, Canada, Germany, Ukraine, Georgia) - 2,574 LinkedIn followers (+141% YoY) - Active job postings for senior roles (Product Manager, Audit Consultant, Growth Lead) ## Competitive Advantages - **Metamodel approach**: Enterprises can turn internal policies and employee knowledge into custom, on‑premise AI models, enforcing consistency and accuracy. - **Evidence‑based reasoning**: The system explains exactly where it looked and why – building trust in regulated environments (SOC 2 Type II, AICPA audited infrastructure). - **Small model efficiency**: Uses specialized small language models (SLMs) instead of massive general LLMs, making deployments faster, cheaper, and compliant with data sovereignty requirements. - **End‑to‑end automation**: Covers the entire audit workflow – from raw database ingestion to boardroom‑ready reports – without any manual spreadsheet work. ## Strategic Focus - **Scale the Metamodel platform**: Turn enterprise policies into custom AI agents for every department. - **Expand into adjacent compliance verticals** (tax, due diligence, contract governance). - **Grow the team** across engineering, product, and go‑to‑market roles (currently 39–50 employees, with a heavy technical tilt of ~45%). - **Maintain on‑premises / hybrid cloud deployments** to meet strict regulatory requirements of audit and finance clients. ## Why Work Here - **Culture**: Fast‑paced research‑first environment assembling a “world‑class team” to solve high‑stakes scaling challenges in AI reasoning. - **Work model**: Hybrid workspace (Palo Alto offices); many roles are in‑office for close collaboration on complex ML and product work. - **Team composition**: Heavy technical concentration (45% of staff are engineers/researchers), with deep domain expertise from ex‑Dropbox, Bloomberg, McKinsey, and AI labs. - **Impact**: Build infrastructure that gives audit, compliance, and finance professionals their time back – directly reduces manual drudgery in multi‑billion‑dollar compliance markets. - **Perks**: Not explicitly detailed, but the company emphasizes “autonomy, impact, and working on the hardest AI problems in enterprise.” ## Sources 1. [nace.ai](https://nace.ai/) 2. [nace.ai/careers](https://nace.ai/careers) 3. [LinkedIn – Nace AI](https://www.linkedin.com/company/nace-ai) 4. [Built In – Nace.AI](https://builtin.com/company/nace-ai) 5. [Jobs.ashbyhq.com – Nace AI](https://jobs.ashbyhq.com/nace.ai) ## Other roles at Nace AI - [VP of Engineering](https://feeny.ai/job/vp-of-engineering-nace-ai-palo-alto-q8d26ckgppqq) — Palo Alto, CA - [Technical Program Manager](https://feeny.ai/job/technical-program-manager-nace-ai-palo-alto-8py4nbage3rw) — Palo Alto, CA - [Senior MLOps Engineer](https://feeny.ai/job/senior-mlops-engineer-nace-ai-palo-alto-x8adzytpzn63) — Palo Alto, CA - [Senior Product Designer (AI & Prototyping)](https://feeny.ai/job/senior-product-designer-ai-prototyping-nace-ai-palo-alto-g533v3r04kqy) — Palo Alto, CA - [Financial Audit Consultant](https://feeny.ai/job/financial-audit-consultant-nace-ai-palo-alto-xd0vjpcf326t) — Palo Alto, CA - [Senior Technical Recruiter](https://feeny.ai/job/senior-technical-recruiter-nace-ai-palo-alto-w9tkfpeqqv2f) — Palo Alto, CA - [Growth Marketing Lead](https://feeny.ai/job/growth-marketing-lead-nace-ai-palo-alto-7bw1bwfdqydv) — Palo Alto, CA - [Valuation Due Diligence Expert](https://feeny.ai/job/valuation-due-diligence-expert-nace-ai-palo-alto-c51g3m2xy7q0) — Palo Alto, CA - [SOX Audit Expert](https://feeny.ai/job/sox-audit-expert-nace-ai-palo-alto-3tznenh4xa5w) — Palo Alto, CA - [Senior Product Manager](https://feeny.ai/job/senior-product-manager-nace-ai-palo-alto-vsa8p0mak591) — Palo Alto, CA