Jobs / United States / Alphasense INC
Principal Software Engineer, Financial Data Platform & GenSearch Agent
Alphasense INC · 🇺🇸 Remote - United States · Remote
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 9 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 1 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Alphasense INC paid sponsored hires in similar roles2 certified filings for “Senior AI Platform Engineer” (Software Developers) in NY: $132k–$275k, median $203k. Most were filed at wage level I (50%) — 1 lottery entry, ≈15% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Alphasense INC
The US Department of Labor certified 9 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 1 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Alphasense INC →
About the role
About AlphaSense: AlphaSense is the AI platform redefining market intelligence and workflow orchestration, trusted by thousands of leading organizations to drive faster, more confident decisions in business and finance. The platform combines domain-specific AI with a vast content universe of over 500 million premium business documents — including equity research, earnings calls, expert interviews, filings, news, and internal proprietary content. Purpose-built for speed, accuracy, and enterprise-grade security, AlphaSense helps teams extract critical insights, uncover market-moving trends, and automate complex workflows with high-quality outputs. With AI solutions like Generative Search, Generative Grid, and Deep Research, AlphaSense delivers the clarity and depth professionals need to navigate complexity and obtain accurate, real-time information quickly. For more information, visit www.alpha-sense.com . Come join us. About the Team: Our diverse Product & Engineering team values innovation, collaboration, and the continuous improvement of our platform. We offer a dynamic work environment where employees can grow and thrive while working on cutting-edge technology that shapes the future of AI and search. At AlphaSense, we believe that diverse experiences and perspectives are critical to our success. We are committed to creating an inclusive workplace where all employees feel valued and empowered to be their authentic selves. About the Role: At AlphaSense, GenSearch is a production, customer-facing generative AI system delivering high-confidence answers across multiple domains. Our team owns the financial data agent within GenSearch — connecting AI reasoning to structured financial datasets — as well as the financial data web experiences that power fundamentals, M&A, screening, and other core capabilities. We are hiring a hands-on Principal Engineer to help us: • Reduce latency in AI-powered financial answers • Simplify fragmented and legacy-heavy architecture • Improve cross-dataset querying and screening • Ship new datasets and product capabilities without increasing systemic complexity This role sits at the intersection of AI systems, financial data infrastructure, and product-grade web development. Who You Are: • 12+ years building and operating production systems • Experience operating at a Staff or Principal level • Proven ability to simplify complex systems and reduce architectural entropy • Strong background in distributed systems and performance optimization • Experience building AI-integrated systems (LLM orchestration, tool usage, retrieval, evaluation) • Comfortable working across backend systems and modern frontend frameworks (e.g., React) • Experienced designing APIs and durable service contracts • Effective at driving cross-team technical initiatives What You’ll Do: Improve AI & Performance • Optimize orchestration between LLM workflows, structured datasets, and services • Introduce performance benchmarks, observability standards, and SLO discipline • Improve reliability and correctness of AI-backed financial responses Simplify Architecture • Reduce fragmentation across datasets and services • Partner with data platform teams to define scalable dataset integration patterns • Remove legacy complexity while continuing to ship Build & Evolve Web Products • Contribute directly to backend and frontend systems powering financial data experiences • Define durable contracts between AI-generated outputs and frontend consumers • Ensure performance and usability at both API and product layers Lead Across Teams • Drive technical initiatives spanning multiple engineering teams • Align stakeholders on service boundaries and system design decisions • Raise the bar for system design, reliability,