Time since we first saw it
Day 164
Up longer than most. Similar jobs usually come down between day 4 and day 77.
From 51 similar postings that came down. Coming down is not always a hire.
Software Engineer - AI/ML
New York · New York, NY, United States
Open 5 months, first seen by us 164 days ago- Pay
- Pay not listed
- Work setting
On-site — work setting source
Location type: On-site
From the employer’s posting- Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting- Team
Engineering — team source
Department: Engineering
From the employer’s posting
Before you apply
- Employer’s visa record
- 2 H-1B petitions approved in fiscal 2024 and 2025For the employer as a whole. This posting doesn’t say whether the role is sponsored. US Citizenship and Immigration Services.
What you’ll work on
Full postingArtian AI is looking for a Software Engineer - AI/ML to help build the intelligence layer of our agentic AI platform for financial services.
This role is ideal for an engineer who has strong software fundamentals, applied machine learning experience, and a practical orientation toward shipping production systems.
Build and improve AI/ML components that power autonomous enterprise workflows
Develop evaluation frameworks to measure agent accuracy, reliability, and latency
Prototype new AI capabilities and productionize those that create customer value
Integrate AI capabilities into end-to-end workflows with backend and product teams
Design observability and debugging systems for AI agents in production
From the employer’s posting
Artian AI is looking for a Software Engineer - AI/ML to help build the intelligence layer of our agentic AI platform for financial services. You will work on the systems that enable AI agents to understand complex workflows, reason over enterprise data, interact with tools, and complete business-critical tasks reliably.
This role is ideal for an engineer who has strong software fundamentals, applied machine learning experience, and a practical orientation toward shipping production systems. You should be excited by the challenge of turning fast-moving AI capabilities into dependable software used by financial institutions.
Build and improve AI/ML components that power autonomous enterprise workflows.
Develop evaluation frameworks to measure agent performance, accuracy, reliability, latency, and failure modes.
Prototype new AI capabilities and productionize the ones that create customer value.
Collaborate with backend, product, and solutions engineering to integrate AI capabilities into end-to-end workflows.
Design systems for observability, debugging, and continuous improvement of AI agents in production.
About Artian AI
Artian AI is building agentic AI automation for financial services.
In the employer’s words · Read in context · Company website ↗
Posting record
Report an errorOpen 5 monthsWe first saw this posting 164 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jun 2, 2026164 days ago
- Recorded sightings
- 74
- Last seen by us
- Nov 13, 2026
- Employer says posted
- May 12, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Artian AI is hiring
1 open job
- No new data jobs since June
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- PyTorch
- scikit-learn
Where the posting names them
What We’re Looking For - Strong Python engineering skills and experience building production software. - Experience with applied machine learning, LLMs, NLP, embeddings, retrieval, ranking, or agentic systems.
- Experience with applied machine learning, LLMs, NLP, embeddings, retrieval, ranking, or agentic systems. - Familiarity with ML tooling such as PyTorch, scikit-learn, vector databases, model evaluation frameworks, or data pipelines. - Ability to reason from first principles about model behavior, failure modes, latency, accuracy, and reliability.
Your next step
Complete your application on jobs.ashbyhq.com. The employer’s form will show what is required.
Applying through Ashby
- No account needed. “Autofill from resume” at the top of the form fills the key fields from your file.
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Demand for AI Engineer roles
New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under AI Engineer, by the work the posting describes.
AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.
Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.
An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.
Job description
About Artian
Artian AI is building agentic AI automation for financial services. Our platform enables reliable, autonomous AI agents to execute business-critical workflows across regulated enterprise environments.
We are an in-person team in New York, building at the intersection of AI, enterprise software, workflow automation, and financial services. We move with urgency, take ownership, communicate transparently, and care deeply about doing excellent work. We are looking for people who are grounded under pressure, learn quickly, earn trust with teammates and customers, and want to help define how AI agents are deployed safely and effectively in the enterprise.
About the Role
Artian AI is looking for a Software Engineer - AI/ML to help build the intelligence layer of our agentic AI platform for financial services. You will work on the systems that enable AI agents to understand complex workflows, reason over enterprise data, interact with tools, and complete business-critical tasks reliably.
This role is ideal for an engineer who has strong software fundamentals, applied machine learning experience, and a practical orientation toward shipping production systems. You should be excited by the challenge of turning fast-moving AI capabilities into dependable software used by financial institutions.
What You’ll Do
Build and improve AI/ML components that power autonomous enterprise workflows.
Work with large language models, embeddings, retrieval systems, classifiers, ranking systems, and agentic workflow architectures.
Develop evaluation frameworks to measure agent performance, accuracy, reliability, latency, and failure modes.
Prototype new AI capabilities and productionize the ones that create customer value.
Collaborate with backend, product, and solutions engineering to integrate AI capabilities into end-to-end workflows.
Design systems for observability, debugging, and continuous improvement of AI agents in production.
Stay current with developments in applied AI and bring a pragmatic lens to which techniques should be used in enterprise environments.
What We’re Looking For
Strong Python engineering skills and experience building production software.
Experience with applied machine learning, LLMs, NLP, embeddings, retrieval, ranking, or agentic systems.
Familiarity with ML tooling such as PyTorch, scikit-learn, vector databases, model evaluation frameworks, or data pipelines.
Ability to reason from first principles about model behavior, failure modes, latency, accuracy, and reliability.
Comfort working in ambiguity and quickly turning prototypes into robust software.
Strong communication skills and a bias toward ownership.
Nice to Have
BS in Computer Science, AI/ML, or a closely related technical field, or equivalent industry experience.
Experience building LLM-powered products, agent frameworks, or retrieval-augmented generation systems.
Experience with financial services, regulated workflows, compliance, auditability, or enterprise data environments.
Experience designing AI evaluations, human-in-the-loop systems, or production monitoring for ML systems.
Experience at an early-stage startup or in a high-ownership engineering environment.
Why Join Artian
Build applied AI systems for real enterprise use cases, not demos.
Work on hard problems in reliability, automation, financial services, and AI governance.
Join an in-person team with high ownership and direct customer impact.
Help define how autonomous agents operate in regulated enterprise environments.
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
New York, NY, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.