Bellagent is an enterprise-level AI agent platform built to automate everyday business operations with zero-touch integrations that connect instantly to more than 1,300 applications. Launched in 2025 by Proactifi Inc., and headquartered in Chicago, the platform is built for practicality with industry-leading compliance and security standards, enabling organizations to deploy AI agents without friction from day one.
Bellagent’s mission to make powerful, enterprise-level AI practical and accessible is helping businesses of all sizes operate smarter, serve customers better and compete in an AI-driven economy.
Role Overview
We are looking for a Tech Lead / Head of Engineering to own the technical direction of Bellagent.ai. This is a hands-on, backend-focused leadership role for someone who has scaled real systems, understands long-term architectural tradeoffs, and is excited to grow into an engineering leader while continuing to build.
You will be responsible for system design, architecture decisions, execution quality, and technical standards while actively coding and mentoring a globally distributed engineering team.
Responsibilities
Architecture & System Design
Own long-term technical architecture and system design decisions
Lead the evolution of the platform from monolithic foundations to modular, service-oriented and microservice architectures
Design scalable, maintainable systems that balance velocity with reliability
Backend & Platform Engineering
Lead backend development across AI infrastructure, integrations, and core platform services
Ensure systems are observable, secure, and production-grade
Design and implement systems supporting:
Modular, agentic AI workflows
MCP servers and context memory protocols (bonus)
Vector databases and retrieval pipelines
LLM orchestration, tool calling, and agent execution
AI & Agentic Systems
Build and scale LLM-based systems and agentic architectures
Collaborate closely on memory, context management, and retrieval strategies
Hands-on experience with:
Pinecone (or equivalent vector databases)
LangChain and LangGraph
Modular AI pipelines and orchestration frameworks
Execution and Engineering Operations
Set engineering standards, best practices, and code quality expectations
Make pragmatic operational tradeoffs for web and SaaS applications
Partner closely with Product (TPM/Product Owner) to translate roadmap into shipped systems
Lead spring execution, reviews, and technical planning
Leadership & Team Growth
Mentor engineers and help scale a high-performing, globally distributed team
Lead by example through hands-on contribution and clear technical direction
Grow into the Head of Engineering role as the company scales, owning hiring, structure, and technical culture
Requirements
Background & Experience
Computer Science degree (Required)
7+ years of professional engineering experience
Experience scaling systems from monoliths to modular or microservice architectures
Proven ability to make and defend long-term architecture decisions
Technical Depth
Strong backend focus with full-stack awareness
Deep understanding of:
System design and distributed systems
Object-oriented design principles and clean architecture
Web and SaaS operational tradeoffs (latency, reliability, scaling cost)
Hands-on experience with:
Python
LLM-based engineering and AI systems
Vector databases (Pinecone or similar)
LangChain, LangGraph, or comparable frameworks
Bonus:
MCP Engineering (Claude or similar ecosystems)
Familiarity with deep neural networks and ML fundamentals
Familiarity with Next.js and React for full-stack collaboration
Operating Style
Builder-first mindset with strong ownership and accountability
Comfortable operating in ambiguity and early-stage environments
Strong written and verbal communication skills
Bias towards pragmatic solutions that ship and scale