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Beacon Venture Capital
Beacon Venture Capital
1 – 10 Xodimlar
FintexSun’iy intellekt
Beacon Venture Capital Tailanddagi yetakchi tijorat banklaridan biri bo‘lgan Kasikornbank PLC’ning to‘liq egaligidagi korporativ venchur kapital bo‘limidir. 2016-yilda tashkil etilgan fond texnologik startaplarga dastlabki bosqichdan o‘sish bosqichigacha strategik investitsiyalar kiritadi va asosiy e’tiborini fintech sohasiga qaratadi. Uning investitsiya yo‘nalishlariga iste’molchilar turmush tarziga oid bizneslar hamda sun’iy intellekt va korporativ IT kabi chuqur texnologiya sohalari ham kiradi. Beacon Venture Capital 30 million dollar kapital bilan ish boshlagan va 2018-yilga kelib kapitalini 135 million dollarga yetkazgan.
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Kompaniyadagi ish o‘rinlari

Staff Software Engineer, Artificial Intelligence and LLM

Lead development of LLM-powered aviation capabilities for Beacon AI’s safer-flight platform, covering RAG, tool calling, evaluation, safety, and production reliability.

USAmerika Qo‘shma ShtatlariCAKaliforniya
224 000 $ – 260 000 $ / yil
GibridTo‘liq stavkaYetakchiTalab Qilinadigan Til: inglizchaMashinaviy o‘qitish muhandisiSun’iy intellekt muhandisi
AWSDynamoDBPythonTypeScript

Tavsif

  • Build user-facing LLM product capabilities from design through production
  • Architect retrieval-augmented generation and tool-calling workflows
  • Produce reliable JSON and schema-constrained outputs with validation, retries, and fallback handling
  • Use function calling to connect internal tools, search, routing, and data services
  • Develop Python or TypeScript APIs and workers with explicit contracts, streaming, and backoff
  • Use caching, request shaping, prompt templates, and context packing to manage latency and cost
  • Connect applications to AWS Bedrock, OpenAI, Anthropic, or self-hosted model endpoints
  • Work with infrastructure engineers on chunking, embeddings, and indexing for documents, time series, and multimedia
  • Select and optimize vector databases including OpenSearch, pgvector, and Pinecone
  • Keep knowledge bases current by synchronizing data from S3, Aurora, DynamoDB, and external sources
  • Build offline evaluations and golden datasets for prompts, retrievers, and tools
  • Define online measures for task success, hallucination rate, retrieval precision and recall, p95 latency, and per-request cost
  • Conduct A/B tests and roll out prompt and version changes with guardrails and canary releases
  • Implement content and policy enforcement, PII detection and redaction, access controls, and audit trails
  • Create human-in-the-loop workflows for sensitive operations
  • Process aviation data in line with internal security standards
  • Provide tracing, logging, and dashboards for model calls, token usage, errors, and system saturation
  • Investigate failures across retrieval, prompts, tools, and model providers
  • Set technical direction across services and teams for complex, ambiguous problems
  • Work with ML, infrastructure, and product partners on user experience, outcomes, reliability, and safety-critical systems

Talablar

  • At least 8 years of experience, including ownership of systems or standards used by other engineers
  • Alternatively, a related master’s degree plus 4 years of relevant experience
  • Experience launching LLM features for end users and improving them through data
  • Strong production development, testing, and technical documentation skills
  • Knowledge of embeddings, chunking, vector-search tradeoffs, and function calling
  • Experience designing evaluations, establishing success metrics, and iterating from evidence
  • Ability to monitor p95 latency, satisfy SLAs, and lower costs while preserving quality
  • Ability to communicate tradeoffs and align product, infrastructure, and security stakeholders
  • Technical leadership experience setting direction or standards adopted by engineers or teams
  • Proficiency in Python or TypeScript
  • Experience with RAG, tool-calling workflows, schema-constrained JSON, validation, retries, fallbacks, APIs, workers, streaming, backoff, caching, prompt templates, context packing, and model providers
  • Experience using AWS Bedrock, OpenAI, Anthropic, or self-hosted endpoints
  • Familiarity with OpenSearch, pgvector, Pinecone, or Weaviate
  • Experience working with S3, Aurora, and DynamoDB data sources
  • Experience with offline evaluation, golden datasets, online metrics, A/B testing, prompt and version rollouts, guardrails, and canary releases
  • Experience implementing content and policy controls, PII detection and redaction, access management, and auditing
  • Experience with tracing, logging, dashboards, model-call troubleshooting, and production operations
  • U.S. Person status is required; visa sponsorship and transfers are not available
  • All work must be performed within the United States
  • Ability to work in the San Francisco Bay Area or San Carlos, California, at least 3 days per week onsite

Imtiyozlar

  • Equity is offered
  • The company covers 100% of employee medical premiums
  • The company covers 25% of dependent medical premiums
  • Three weeks of paid time off
  • At least 13 paid company holidays
  • 401(k) plan offered
  • Remote work is available on the remaining hybrid-schedule days

O‘xshash ish o‘rinlari

Terumo Medical Corporation

Territory Manager, Interventional Systems — Philadelphia

Terumo Medical Corporation
1 001 – 5 000 Xodimlar
H1B vizasi homiysiIshlab chiqarishKonsaltingSog‘liqni saqlash
USAmerika Qo‘shma ShtatlariPAPensilvaniya
50 000 $ – 65 000 $ / yil
OfisdaTo‘liq stavkaO‘rta darajaSeniorTalab Qilinadigan Til: inglizchaMijozlar bilan ishlash menejeriSotuv

Lead sales of Terumo Interventional Systems devices to hospitals and outpatient facilities in the Philadelphia area. Build accounts, support procedures, educate clinicians, and meet territory sales goals.

Ochish
Aleph Alpha

Senior AI Researcher, Foundation Model Pre-Training — Aleph Alpha, Heidelberg

Aleph Alpha
51 – 200 Xodimlar
B2BSun’iy intellekt
DEGermaniyaGibridTo‘liq stavkaSeniorTalab Qilinadigan Til: inglizchaMashinaviy o‘qitish muhandisiSunʼiy intellekt tadqiqot olimi
PythonPyTorchTaqsimlangan tizimlar

Lead architecture and large-scale pre-training work for Aleph Alpha’s European foundation models, shaping training methods across thousands of GPUs. Build and refine PyTorch training recipes with the Heidelberg-based hybrid team.

Ochish