Lead LLM Engineer @ Forecast Corp.
(práce v Polsku)

Lead LLM Engineer @ Forecast Corp.

Polsko

• 5+ years Python development experience with focus on AI/ML systems
• Strong experience with LLM APIs (OpenAI, Anthropic Claude, etc.) and prompt engineering
• Production experience with REST APIs, databases (PostgreSQL), and cloud platforms (AWS/GCP/Azure)
• Understanding of statistical concepts, probability, and uncertainty quantification
• Experience with async programming, caching strategies, and system optimization
• Strong English communication skills for US startup collaboration
• EU work authorization (no visa sponsorship available)

Join us in revolutionizing geopolitical intelligence with cutting-edge AI.

Forecast Corp. is building the future of strategic forecasting. Help us build an AI system that helps Fortune 500 companies and world governments anticipate and navigate complex global events. As our founding technical partner, youll work on fascinating problems at the intersection of large language models, statistical modeling, and real-world prediction.

What makes this special:

• Technical Impact: Build systems that matter. Your forecasts will influence major corporate and government policy decisions
• Cutting-edge AI: Work with the latest LLM techniques, ensemble methods, and uncertainty quantification approaches that are advancing the field
• Founding Equity: Meaningful ownership in a venture with clear path to significant enterprise revenue
• Direct Partnership: Work closely with experienced entrepreneur whos successfully built and exited previous ventures

The Opportunity: AI forecasting capabilities are finally strong enough to compete with human experts, but the space is still wide open. Our goal is to build the "Bloomberg Terminal" for geopolitical intelligence, starting with a Metaculus competition bot and expanding to serve enterprise clients.

Compensation & Growth:

• Salary: 235,000-390,000 PLN annually (€55,300-91,770)
• Equity: 0.5-3% founding engineer equity with accelerated vesting
• Flexibility: Fully remote with 3+ hour overlap with US Eastern time
• Learning Budget: €2,000 annually for conferences, courses, and professional development
• Equipment: MacBook Pro M3, external monitor, and home office setup allowance

Timeline & Expectations: This is a fast-moving startup opportunity. Were targeting MVP completion in 3 months, seed funding in 6 months, and first enterprise contracts within 12 months. Youll have enormous influence over our technical direction and company culture.

Ready to shape the future of AI-powered forecasting? Please fill out our brief application and well be in touch. 

,[Design and implement our core forecasting engine using cutting-edge LLM ensemble techniques, including pgodzinais question grouping innovation and advanced aggregation methods, Build production-ready APIs for real-time geopolitical event prediction with enterprise-grade security and scalability, Develop sophisticated information retrieval systems integrating multiple news sources (AskNews, Perplexity) with LLM-based relevance filtering, Implement statistical calibration and uncertainty quantification systems to ensure reliable probability estimates, Make critical technology stack decisions and establish development best practices from day one, Design system architecture for both real-time prediction and batch processing of large-scale forecasting tasks, Optimize performance and cost efficiency across the entire prediction pipeline (target <$0.50 per enterprise-quality forecast), Build comprehensive monitoring, logging, and evaluation frameworks for continuous improvement, Stay current with latest LLM forecasting research and implement cutting-edge techniques, Experiment with novel ensemble methods, prompt engineering strategies, and coherence enforcement algorithms, Collaborate on research initiatives aimed at advancing the state-of-the-art in automated forecasting, Immediate 3-Month Goals: Build and deploy Metaculus competition bot, develop CLI tool for analysts, establish technical foundation for $1M+ seed funding round. This role offers exceptional learning opportunities in applied AI research, product strategy, and significant equity in a high-potential venture.] Requirements: Python, FastAPI, Redis, pandas, NumPy, Docker, DevOps, PostgreSQL, Forecasting, Statistics, Quantitative research Additionally: Training budget, Small teams.

Kategorie

artificialIntelligence

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