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Staff Software Engineer

Join Ontra as a Staff Software Engineer to build AI-powered features that transform legal documents into actionable data.

Location
United States
Compensation
Not disclosed
Level
staff
Type
full time · Hybrid

Posted by employer 5 days ago

First seen on Joblaze 5 days ago

Last verified on the company career page 1 day ago

Apply at Ontra → Save job Scanned from ontra.ai

Skills & Technologies

What you'll build

  • Ship AI-powered product features
  • Set technical direction across product areas
  • Identify the highest-leverage problems
  • Establish patterns and improve tooling
  • Partner with product and design

Must have

  • 10+ years in software engineering
  • Experience designing and delivering complex systems
  • Daily use of AI coding tools

Nice to have

  • Experience building LLM features in production

Practical constraints

  • On-site work at New York office three days per week

Role intensity

40% coding

AI in the day-to-day

Daily use of AI coding tools is required, along with the ability to review, verify, and reject AI output.

Requirements

Experience
10+ years

Not disclosed in this posting: compensation, visa sponsorship.

Benefits

Paid parental leave and benefits Paid flexible time off policy Company-sponsored Learning and Development Resources Monthly Phone and Internet Reimbursement Employer-supported Retirement Contributions

Joblaze summary

In the role of Staff Software Engineer at Ontra, the individual will focus on developing AI-driven features that enhance contract negotiations and transform complex legal documents into structured data. Key skills include extensive experience in software engineering, particularly with AI and large language models, as well as a strong ability to architect scalable systems. This position is suited for seasoned professionals with a proven track record in delivering impactful solutions and a collaborative mindset. Ontra fosters a culture of ownership and continuous improvement, emphasizing teamwork and technical excellence.

Joblaze insights

  • Listed 5 days ago — first seen on Joblaze October 29, 2026. Last confirmed on Ontra's careers page November 2, 2026.
  • AI/ML appears in 34.3% of 283 comparable staff ai/ml roles in United States; LLM appears in 6.7% of 283 comparable staff ai/ml roles in United States.

Quick facts

Is the Staff Software Engineer role remote?
It's hybrid — Ontra expects some on-site time in United States.
How much experience is required?
At least 10 years of relevant experience for this Staff Software Engineer role.
Where is the role based?
Ontra is hiring for this position in United States.
What's the tech stack?
Joblaze extracted these technologies from the posting: AI, AI/ML, LLM.
What seniority level is this role?
Ontra targets staff-level candidates for this position.
Is this full-time or contract?
Full-time for this Staff Software Engineer role at Ontra.

From the original posting

For this job, we are currently only hiring candidates based in New York and require on-site work at our New York office three days per week. For more information on where we employ, please see below.

About the Role

Ontra is seeking a Staff Software Engineer to work on our innovative purpose-built AI solutions. Contract negotiations once required hours of manual markup. Hundreds of pages of fund documents hide critical obligations in dense legal language. Unstructured legal text needs to become clean, actionable data before it can drive any real decisions.

At Ontra, that's the work. You'll build AI-powered features that automatically mark up contracts during negotiations, extract obligations buried in complex fund documents, and transform messy legal text into structured data that some of the world's largest investment firms rely on to run their business.

This role is a great opportunity for someone who is passionate about tackling complex technical challenges, architecting robust and scalable systems, and collaborating with cross-functional teams. This position is ideal for those who enjoy driving project direction and fostering an environment of continuous improvement. We're looking for someone who combines deep technical skill with strong product instincts. You'll partner closely with product and design to shape what we build, not just how.

You’ll have hands-on experience building with AI and LLMs in production, and should be able to define evaluation frameworks, reason about failure modes, and make strategic calls about where AI creates genuine value in our products, and where it doesn't.

If you want to do the best work of your career at a company and want to contribute to a culture of learning and growth, we’d love to get to know you!

What You’ll Do

  • Build with AI: Ship AI-powered product features and use AI tools across your own workflow, from prototyping to code review.

  • Architect and Deliver: Set technical direction across product areas, making architectural decisions that balance near-term shipping with long-term scalability.

  • Own Outcomes Across Teams: Identify the highest-leverage problems, ensure the right things get built in the right order, and drive initiatives from ambiguous problem statements through to production.

  • Raise the Engineering Bar: Establish patterns, improve tooling, fix systemic quality issues, and use code reviews to level up other engineers.

  • Shape Product Direction: Partner with product and design as a technical thought partner. Bring engineering insight into what's possible, what's costly, and where technical investment unlocks new value.

What You’ll Bring

  • Expertise: 10+ years in software engineering with a track record of designing and delivering complex, production-grade systems.

  • AI Fluency: Daily use of AI coding tools is required, along with the ability to review, verify, and reject AI output and to know when not to trust it. Preferred depth includes having built LLM features in production (RAG, agents, prompting, evals).

  • Results-driven approach: Proven experience delivering features and solutions that have a direct impact on revenue growth, savings, or operational efficiencies.

  • Problem Solving Skills: Ability to tackle complex technical problems with creativity and efficiency.

  • Communication: Excellent verbal and written communication across technical and non-technical team members and stakeholders.

APAC

Hong Kong

EMEA

United Kingdom

Benefits Snapshot

  • Twice yearly team offsites for in-person collaboration

  • Paid flexible time off policy

  • Paid parental leave and benefits

  • Employer-supported retirement contributions, varying by country

  • Monthly phone and internet reimbursement

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Standard company text repeated across Ontra's postings is omitted here.

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