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 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 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 TypeScript / Node.js 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 15-30+ 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 React.js 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.(ref : hirist.tech)