About Biz4Group
Biz4Group is an AI-first technology consulting and product engineering company building enterprise-grade software solutions for startups, SMBs, and Fortune 500 companies. We specialize in AI agents, enterprise automation, SaaS platforms, PropTech, HealthTech, FinTech, and custom software development.
We are looking for an AI Technical Manager who can lead engineering teams in the era of AI-assisted software development. This role is for someone who combines deep technical expertise with business thinking, product ownership, and modern AI engineering practices.
Role Overview
As an AI Technical Manager, you will lead engineering teams in designing, developing, and delivering AI-native products and enterprise software. You will drive AI adoption across the engineering lifecycle, improve developer productivity through AI, mentor teams on modern engineering practices, and ensure every solution creates measurable business value.
This is not a traditional engineering manager role. We are looking for someone who can think like a product leader, architect like a senior engineer, and execute like a startup founder.
Key Responsibilities
AI-First Engineering Leadership
- Lead multiple engineering teams developing AI-powered applications.
- Drive organization-wide adoption of AI across software development and delivery.
- Define engineering standards for AI-assisted development and quality assurance.
- Mentor developers in AI-native engineering workflows and best practices.
- Build a high-performance engineering culture focused on innovation and ownership.
Technical Leadership
- Architect scalable cloud-native applications.
- Design enterprise-grade backend systems using Python and JavaScript/TypeScript.
- Lead API-first and event-driven architectures.
- Design secure, scalable, and maintainable software systems.
- Review architecture, code quality, and technical decisions.
AI Engineering
- Build and integrate LLM-powered applications.
- Design Agentic AI systems and autonomous workflows.
- Implement Retrieval-Augmented Generation (RAG) solutions.
- Develop multi-agent systems for enterprise automation.
- Integrate AI models from OpenAI, Anthropic, Google, and open-source ecosystems.
- Design AI evaluation, monitoring, and optimization frameworks.
MCP & AI Integration
- Design and implement Model Context Protocol (MCP) servers.
- Build secure integrations between AI agents and enterprise systems.
- Enable AI applications to interact with internal tools, CRMs, ERPs, databases, and business workflows through MCP.
- Establish governance, authentication, and permission models for MCP-based architectures.
Vibe Coding & Engineering Productivity
- Champion high-quality AI-assisted development ("Vibe Coding") while maintaining enterprise-grade engineering standards.
- Leverage AI coding assistants to accelerate development without compromising code quality.
- Define standards for prompt engineering, code review, testing, and AI-generated code validation.
- Continuously improve engineering productivity through automation and AI tooling.
Product Thinking
- Translate business problems into scalable technical solutions.
- Collaborate with product managers, sales, delivery, and customers.
- Make technology decisions based on business impact and customer value.
- Balance innovation with delivery timelines and technical debt.
Team Management
- Lead, mentor, and grow engineering teams.
- Conduct technical interviews and hiring.
- Coach engineers in architecture, AI, system design, and modern software development.
- Drive performance, accountability, and continuous learning.
Required Technical Skills
Programming Languages
- Python (Expert)
- JavaScript / TypeScript (Expert)
AI & Machine Learning
- LLM Integration
- AI Agents
- Multi-Agent Systems
- Prompt Engineering
- Retrieval-Augmented Generation (RAG)
- Vector Databases
- Embedding Models
- AI Evaluation Frameworks
- Agent Orchestration Frameworks
MCP Expertise
- Strong understanding of Model Context Protocol (MCP)
- Experience designing and deploying MCP Servers
- Tool integration architecture
- AI tool orchestration
- Context management
- Secure enterprise integrations
Backend Technologies
- FastAPI
- Django
- Flask
- Node.js
- Express.js
- REST APIs
- GraphQL
- WebSockets
Cloud & DevOps
- AWS, Azure, or Google Cloud
- Docker
- Kubernetes
- CI/CD Pipelines
- Infrastructure as Code
- GitHub Actions
- Monitoring and Observability
Databases
- PostgreSQL
- MongoDB
- Redis
- Vector Databases (Pinecone, Weaviate, Qdrant, Chroma, or similar)
Business & Product Expectations
The ideal candidate should:
- Think beyond writing code and understand business outcomes.
- Build products instead of just delivering projects.
- Understand customer problems before proposing technology.
- Balance engineering quality with speed of execution.
- Drive measurable improvements in delivery efficiency and customer value.
- Influence technical strategy and product direction.
Preferred Experience
- 8–15 years of software engineering experience.
- 3+ years leading engineering teams.
- Hands-on experience building AI-powered enterprise products.
- Experience deploying production-grade LLM applications.
- Experience with MCP servers and AI tool integrations.
- Experience in SaaS, PropTech, HealthTech, FinTech, or enterprise software.
- Strong system design and software architecture expertise.
- Proven track record of delivering scalable products.
What We Look For
- Product mindset over project mindset.
- Strong ownership and accountability.
- Excellent problem-solving and analytical thinking.
- Passion for AI and continuous learning.
- Strong communication and leadership skills.
- Ability to mentor and inspire engineering teams.
- High standards for engineering quality and customer experience.
Success Metrics
Within the first 12 months, you will be expected to:
- Increase engineering productivity through responsible AI adoption.
- Improve code quality and reduce production defects.
- Successfully deploy enterprise-grade AI products.
- Establish AI engineering best practices across teams.
- Mentor developers in AI-first software development.
- Build scalable MCP-enabled enterprise solutions.
- Deliver projects on time with high customer satisfaction.
- Contribute to business growth through technology innovation.
Why Join Biz4Group
- Build next-generation AI products used by global customers.
- Work on cutting-edge AI technologies, LLMs, Agents, MCP, and enterprise automation.
- Collaborate with a highly skilled AI-focused engineering team.
- Opportunity to influence technology strategy and product direction.
- Continuous learning, innovation, and leadership growth.
- Shape the future of AI-driven software engineering.
If you're passionate about building AI-native products, leading high-performing teams, and redefining how software is engineered in the age of AI, we'd love to hear from you.
One recommendation: Instead of calling this role "AI Technical Manager," consider renaming it to "Engineering Manager – AI & Intelligent Systems" or "AI Engineering Manager." These titles are becoming more common in the industry, better reflect ownership beyond people management, and are likely to attract stronger senior candidates.