Beem - Vice President - Engineering Management
7 days ago
Description :
We're seeking an exceptional VP/Director of Engineering to work directly with our CTO in architecting and scaling Beem into a comprehensive AI agentic platform. This role combines strategic leadership (30%), championing the team (30%), and hands-on technical contribution (40%), focusing on building sophisticated multi-agent AI systems powered by Model Context Protocol (MCP), Retrieval Augmented Generation (RAG), and specialized AI agents (JobsGPT, DealsGPT, PriceGPT, BudgetGPT).
The core responsibilities for the job include the following :
Strategic Leadership (30%) :
- Partner with CTO to define and execute technical vision for AI agentic platform.
- Lead architectural decisions for multi-agent systems, payment infrastructure, and international expansion.
- Build and scale an engineering team from 15 to 30+ engineers over the next 18 months.
- Establish engineering best practices, code standards, and development workflows.
- Drive technical due diligence for strategic partnerships.
- Own technical roadmap alignment with business objectives and expansion plans.
Hands-On Development (40%) :
- Design and implement core components of the AI agent network.
- Build a sophisticated orchestration layer for BaseGPT and specialized agents.
- Develop payment processing integrations with Astra Fi (OCT/AFT, ACH).
- Implement memory management systems with RAG and vector stores.
- Optimize performance, security, and scalability of critical systems.
- Write production code, review architecture, and mentor through pair programming.
- Debug complex issues in production and lead incident response.
Team Development (20%) :
- Hire, mentor, and develop engineering talent across backend, AI/ML, and infrastructure.
- Establish technical career ladder and growth paths for engineers.
- Foster a culture of innovation, ownership, and continuous improvement.
- Conduct architecture reviews and technical design discussions.
- Build effective on-call rotation and incident management processes.
Cross-Functional Collaboration (10%) :
- Work closely with Product to translate requirements into technical solutions.
- Collaborate with the Data Science team on AI/ML model integration and optimization.
- Partner with Compliance and Legal on regulatory requirements and implementation.
- Engage with Business Development on technical aspects of partnerships.
- Present technical updates to the executive team and board of directors.
The core requirements for the job include the following :
Technical Expertise (Must-Have) :
- 10+ years of software engineering experience with at least 5+ years in engineering leadership roles.
- Expert-level proficiency in with production experience at scale.
- 5+ years building and deploying microservices or serverless architectures.
- 3+ years of hands-on experience with AI/ML systems, LLMs, or agent-based architectures.
- Strong background in AWS services (Lambda, API Gateway, DynamoDB, S3 CodeBuild).
- Deep understanding of distributed systems, event-driven architecture, and real-time processing.
- Proven experience scaling B2C fintech applications from MVP to millions of users.
Leadership and Collaboration :
- Led engineering teams of engineers through high-growth phases.
- Cross-functional leadership : Experience working closely with Product, Design, Data Science,
and Business teams.
- Technical mentorship : Track record of developing senior engineers into tech leads.
- Strategic planning : Ability to translate business objectives into technical roadmaps.
- Startup experience : Comfortable with ambiguity, rapid iteration, and wearing multiple hats.
Domain Knowledge :
- Fintech experience : Understanding of payment processing, credit systems, or banking infrastructure.
- AI/ML systems : Practical experience with LLM integration, RAG, vector databases, or agent frameworks.
- Compliance awareness : Knowledge of financial regulations (NACHA, PCI DSS, SOC 2).
- International markets : Experience launching products in emerging markets (India a plus).
Highly Valued Skills :
Technical :
- Knowledge of payment processing APIs and banking integrations.
- Experience with real-time data processing and streaming architectures.
- Familiarity with or React Native for full-stack collaboration.
- Background in machine learning operations(MLOps) and model deployment.
- Experience with LangChain, LangGraph, or similar agent frameworks.
- Proficiency in vector databases(Milvus, Pinecone, Weaviate, or similar).
Domain Specific :
- Experience with credit scoring systems or alternative credit assessment.
- Knowledge of regulatory compliance in financial services.
- Understanding of underbanked markets and financial inclusion challenges.
- Experience international payment infrastructure.
- Background fraud detection or risk management systems.
Leadership :
- Experience managing distributed, remote-first teams.
- Track record of successful international expansions.
- Ability to balance technical debt with feature velocity.
- Strong product sense and user empathy.
- Experience with phased rollout strategies and A/B testing at scale.
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