Software Engineer
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Before you apply
Salary$120k – $170k
LocationNew York City
Also inManhattan, New York City
Work modeon-site
Typefull-time
SeniorityMid
Experience2+ yrs
DepartmentSoftware Engineering
EquityIncluded
Company size5+ people
PostedAug 10, 2026 · 2mo ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
2+ years of non-internship software engineering experience
Production AI and LLM experience: someone who has shipped LLM-powered features to real users, understands how models fail in production, and can build reliable systems around non-deterministic outputs
Experience with Python and cloud-based infrastructure like AWS
Someone who reasons about failure modes, edge cases, and scale before writing code, comfortable making architectural decisions with incomplete information and adapting when they're wrong
Have previously worked at either an early-stage startup or big tech
Understanding of system design patterns and test-driven development techniques in order to create reliable, ready for change code
Previous experience interacting with customers and receiving customer feedback
Skills
Python
AWS
Benefits
Health insurance
Dental insurance
Vision insurance
Unlimited PTO
About Farsight AI
Farsight is the agentic AI platform for financial services, currently helping investment banks and private equity firms fully automate entire, highly nuanced workflows. Farsight’s flagship product is our Office Add-in: a native integration inside PowerPoint, Excel, and Word. Rather than asking bankers to leave their existing workflow, we bring Farsight’s full AI capabilities into the tools they already live in
Farsight is also building the first system that learns the judgment, taste, and iteration that goes between a first and final draft for financial deliverables!
Our Team
We’re a team built of top-tier ex-banking and engineering talent: Hugging Face, AWS, founding engineers of other startups, JPMorgan, Evercore, General Atlantic, and more.
We are entirely based in Manhattan, New York City, and are in-person 4 days a week (except Fridays, which are remote).
Job Description
About the role
Farsight is building one of the most complex AI products in the market: agentic workflows, streaming outputs, non-deterministic systems, LLM orchestration, and enterprise-grade accuracy requirements.
You will be responsible for designing and implementing complete technical systems, informed from business needs and often addressing customer feedback. All while upholding our standard of developing clean, efficient, and ready for change software. The scope of your projects will range from longer term swings to bug fixes alike, each of which crucial to our company’s success.
Desired Qualifications
•
2+ years of non-internship software engineering experience
•
Production AI and LLM experience: someone who has shipped LLM-powered features to real users, understands how models fail in production, and can build reliable systems around non-deterministic outputs
•
Experience with Python and cloud-based infrastructure like AWS
•
Someone who reasons about failure modes, edge cases, and scale before writing code, comfortable making architectural decisions with incomplete information and adapting when they’re wrong
Above and Beyond Qualifications
•
Have previously worked at either an early-stage startup or big tech
•
Understanding of system design patterns and test-driven development techniques in order to create reliable, ready for change code
•
Previous experience interacting with customers and receiving customer feedback
Compensation & Benefits
•
Salary ranges between $120,000 and $170,000, commensurate with experience
•
Equity: Meaningful early-stage package with standard vesting (4 year / 1-year cliff)
•
Comprehensive medical, dental and vision insurance
•
Unlimited PTO
Equal Opportunity
Farsight is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.