Skip to content
IroncladIronclad

Senior Software Engineer, AI

Lead design and delivery of high-priority AI initiatives across multiple codebases. Build and ship AI-powered features with strong backend fundamentals and product sense.

About the job

What You’ll Do

  • Lead the design and delivery of high-priority AI initiatives across Ironclad, from early prototype through production launch.
  • Rapidly ramp into new systems, codebases, and problem areas, and drive execution with minimal hand-holding.
  • Incubate new product ideas in areas such as contract AI, agentic workflows, intelligent extraction, search, and automation.
  • Partner closely with product, design, legal domain experts, and go-to-market teams to turn customer needs into shipped product.
  • Raise the engineering bar through strong technical judgment, crisp execution, and pragmatic use of AI-assisted development tools.
  • Identify organizational or technical bottlenecks and help close them, whether by building, debugging, simplifying, or unblocking teams.
  • Mentor other engineers through hands-on leadership, code reviews, technical direction, and example-setting.
  • Help shape how Ironclad builds with modern AI systems, including evals, orchestration, prompting, retrieval, and production quality standards.

What We’re Looking For

Execution

  • Ability to build and ship production software in fast-paced environments.
  • Ability to lead ambiguous, cross-functional efforts and turning them into concrete outcomes.
  • High agency and ownership: you see gaps, form a point of view, and drive things forward.
  • Strong bias to action, with the ability to balance speed and quality.
  • Excellent collaboration skills and low ego; you work well by influence, not just authority.

Technical Strength

  • Strong software engineering fundamentals, especially in backend systems and distributed systems.
  • Ability to learn unfamiliar systems quickly and be productive in codebases you did not originally build.
  • Experience building AI-powered product features, platforms, or internal developer systems.
  • Familiarity with modern LLM application patterns such as agentic workflows, retrieval, evals, tool use, and quality/error analysis.
  • Comfort using AI coding tools to accelerate development, while maintaining engineering rigor and sound judgment.

Product Mindset

  • Strong product instinct and customer empathy.
  • You care not just about whether a system works, but whether it solves an important user problem.
  • Excitement about iterating quickly, learning from real usage, and improving product quality over time.

Tech Stack

Our stack includes TypeScript, React, Node.js, and cloud-native infrastructure. Experience with the exact stack is less important than your ability to learn quickly, operate across systems, and ship high-quality work.

Success Looks Like

  • Help launch meaningful new AI capabilities faster.
  • Unblock important initiatives across teams.
  • Elevate execution quality wherever you engage.
  • Become a trusted technical leader for high-priority, cross-cutting work.
  • Help Ironclad build durable advantage in contract AI.

Benefits

  • 100% health coverage for employees (medical, dental, and vision), and 75% coverage for dependents with buy-up plan options available.
  • Market-leading leave policies, including gender-neutral parental leave and compassionate leave.
  • Family forming support through Maven for you and your partner.
  • Paid time off - take the time you need, when you need it.
  • Monthly stipends for wellbeing, hybrid work, and (if applicable) cell phone use.
  • Mental health support through Modern Health, including therapy, coaching, and digital tools.
  • Pre-tax commuter benefits (US Employees).
  • 401(k) plan with Fidelity with employer match (US Employees).
  • Regular team events to connect, recharge, and have fun.

Skills

TypeScript, React, Node.js, Backend Systems, Distributed Systems, Llm Application Patterns, Agentic Workflows, Retrieval, Evals, Ai Coding Tools

Databricks

Databricks

United States

Senior AI Engineer - FDE - U.S. Federal Sector
$182k+/yrRemote7+ YOEML Engineering

Build and productionize generative AI applications for U.S. federal customers, advise clients, and influence product direction. The role requires extensive data science and machine learning deployment experience, a graduate quantitative degree or equivalent experience, and U.S. security clearance eligibility.

Swayable

Swayable

New York, NY
Senior Software Engineer: AI
$175k+/yrOn-site5+ YOEML Engineering

Senior engineer developing and productizing AI, machine learning, scientific computing, and data-analysis capabilities for a high-performance analytics engine. Requires 5+ years building quantitative data-intensive software and expertise in Python, machine learning, scalable architecture, and distributed computing.

Mem0

Mem0

San Francisco, CA

Senior Research Engineer
$175k+/yrOn-site7+ YOEML Engineering

Own the end-to-end lifecycle of memory features for AI agents. Fine-tune models, implement research, build evaluations, and ship production systems with Engineering.

PrizePicks

PrizePicks

United States

Senior Software Engineer, Applied AI
$175k+/yrRemote6+ YOEML Engineering

Build and ship production Applied AI capabilities, including agent infrastructure, RAG services, evaluation systems, and AI-powered engineering workflows. The role requires 6+ years of software engineering experience, strong backend and distributed-systems skills, and direct experience delivering LLM- or ML-powered products.

Ai2

Ai2

Seattle, WA

Senior Research Engineer
$174k+/yrOn-site5+ YOEML Engineering

Senior Research Engineer tailoring and deploying machine learning models for partner applications across geospatial and environmental domains. The role requires PyTorch expertise, end-to-end ML deployment experience, geospatial tools knowledge, and strong independent execution.