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Why this grade This listing scored 48/100, which is a D. It lost the most ground on pay transparency. See the breakdown
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Pay transparency 12 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
- Freshness 8 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Corroboration 5 / 10 Whether more than one source carries this listing.
- Role specificity 0 / 10 Whether the listing is tagged well enough to tell what the role actually is.
-5 Ghost-job penalty — Deducted for signals that this posting may not be a real, currently-open role — staleness, repeated relisting, or talent-pool language.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
This listing does not state a salary
$127k – $168k
That is the middle half of what comparable roles paid on this board over the last 90 days — 27 listings that did publish a figure, median $145k. It is not this employer's offer, and we have no idea what they pay. It is only what the rest of the market advertised.
About the Role
This is a full stack engineering role at an early-stage AI-native consumer intelligence platform, where you'll own features end-to-end — from backend services processing enterprise data at scale to the frontend interfaces that make that intelligence actionable. In a small, fast-moving team, you'll work closely with enterprise customers and ML engineers to ship product that directly shapes how leading brands understand their consumers.
What You'll Do
Build and ship features across the full stack — backend services in Go/Python and frontend experiences in React/TypeScript.
Design APIs, data models, and service architectures that support agentic AI capabilities.
Create intuitive interfaces that translate complex enterprise data into clear, actionable workflows.
Collaborate with ML engineers to bring AI-driven features from prototype to production.
Own features through the full lifecycle: scoping, architecture, implementation, testing, deployment, and iteration.
Work directly with enterprise customers to understand real-world needs and refine the product.
Contribute to infrastructure, tooling, and developer experience as the engineering team scales.
What We're Looking For
3+ years of professional engineering experience, with at least 2 years in early-stage startup environments shipping end-to-end product.
Proficiency in both TypeScript/React and at least one of Go or Python, with a track record of shipping code in both frontend and backend layers.
Experience with AWS or equivalent cloud infrastructure and modern deployment practices.
Experience building or deploying data pipelines or data engineering work.
Strong product instincts — you think about the user, not just the code.
Comfortable owning loosely-scoped problems and moving from ambiguity to shipped feature independently.
Bachelor's degree in Computer Science or a related field.
Bonus: experience with LLM integrations, agentic AI systems, or RAG architectures; background in enterprise SaaS, retail technology, or data-intensive products; familiarity with data visualization or streaming architectures.
Compensation & Benefits
Base salary range: $120,000 – $200,000 USD annually. Visa sponsorship is not available.
Location
On-site in New York, NY.
Originally posted on Himalayas
Apply for this role Opens himalayas.app — the link as listed; we have not yet verified it is the employer's own page
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Where this listing came from
- 28 Aug 2026 Himalayas first sighting
Seen on 1 board over 0 days.