Note: The job is a remote job and is open to candidates in USA. Alpha Hub, a subsidiary of Konzortia Capital, is building an AI- and data-driven platform for private capital markets. The Senior AI Engineer will lead the development and deployment of Alpha IQ, building machine learning systems for deal scoring, investor-founder matching, diligence automation, recommendations, and predictive insights while collaborating across product and engineering teams.
Responsibilities
- Lead the end-to-end development of Alpha IQ’s AI/ML features and MVP
- Coordinate Agile sprint execution and prioritize AI tasks within a small, cross-functional team
- Define technical architecture for scalable AI deployment
- Design, implement, and optimize machine learning models for:
- Deal scoring
- Risk analysis
- Predictive performance modeling
- Confidence scoring
- Train and deploy models that evaluate data transparency, financial health, and risk profiles with high precision
- Develop advanced matching algorithms that intelligently connect issuers and allocators across VC, PE, and M&A ecosystems
- Implement AI-driven matchmaking logic aligned with investment criteria and behavioral signals
- Build AI “copilot” features including:
- Real-time alerts
- Deal recommendations
- Automated investment summaries
- Market sentiment dashboards
- Predictive trend insights
- Deliver data-backed decision-support tools for platform users
- Automate dealflow lifecycle from sourcing to execution
- Develop AI-driven prioritization engines and recommendation systems
- Support integration of blockchain-based smart contract logic for secure deal execution
- Ensure backend data infrastructure is AI-ready and scalable
- Oversee data pipelines, model validation, and performance testing
- Integrate third-party AI services (OpenAI, LLM APIs) alongside proprietary models
- Deploy models into production environments (cloud-based infrastructure)
- Partner with frontend engineers and product leads to translate product requirements into AI features
- Communicate complex ML concepts clearly to non-technical stakeholders
- Mentor junior engineers and contribute to technical culture
Skills
- 5+ years building production-grade AI/ML systems
- Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, scikit-learn)
- Experience designing, training, and deploying scalable models (NLP, predictive analytics, deep learning)
- Experience with ETL pipelines, database systems, and big data processing
- Cloud deployment experience (AWS, GCP, Azure)
- Strong understanding of model monitoring, validation, and performance optimization
- Proven ability to lead technical projects in startup environments
- Strong communication skills and collaborative approach
- High adaptability, strong problem-solving ability, and entrepreneurial mindset
- This role is open to U.S.-based candidates only (remote)
- Must be legally authorized to work in the U.S. as an independent contractor
- Hands-on experience with large language models (OpenAI/GPT, transformer architectures) is a plus
- Background in fintech, financial services, or investment platforms
- Familiarity with private equity, venture capital, M&A workflows, or CRM automation
- Exposure to blockchain or distributed ledger technologies is a plus
Benefits
- Shares in the company issued monthly in lieu of salary for the initial 6-month term, based on company valuation of $26M
- Full-Time Independent Contractor arrangement
- Remote role for U.S.-based candidates only
- Remote-first culture with emphasis on collaboration and work-life integration
- Comprehensive experience in startup operations, venture capital, and compliance
- Career advancement opportunities into leadership roles as the company scales
- Mentorship opportunities with experienced executives and industry leaders
- Direct access to experienced executives and industry leaders
- Autonomy to take ownership of impactful projects
- Guidance from seasoned professionals invested in your success
- Potential transition to a salaried, full-time position within the U.S. entity after 6 months, based on performance milestones and successful fundraising
Company Overview