AI Technical ManagerAbout Biz4GroupBiz4Group is an

AI-first technology consulting and product engineering company

building enterprise-grade software and AI solutions for startups, SMBs and Fortune 500 companies.Our work spans

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 through the next phase of software development, where AI is becoming part of how products are designed, built, tested and delivered.This role is for someone who combines

strong engineering fundamentals, AI expertise, product thinking and business understanding

.

Role OverviewAs an

AI Technical Manager

, you will be responsible for the technical direction and engineering execution of AI-powered products and enterprise applications.You will lead teams, make architecture decisions, drive responsible AI adoption, improve engineering productivity and ensure that technology decisions are aligned with

customer needs and business outcomes

.This is not a traditional people-management role.We are looking for someone who can

think like a product owner, operate like an architect, lead like an engineering manager and execute with the speed required in a fast-moving AI company.

Key Responsibilities1. AI-First Engineering LeadershipLead engineering teams building AI-powered products and enterprise solutions.Drive practical adoption of AI across the software development lifecycle.Establish standards for AI-assisted development, testing, code review and delivery.Identify where AI can improve engineering productivity, quality and speed.Mentor engineers on modern AI-native development practices.Build a culture of ownership, technical excellence and continuous learning.2. Technical Architecture & EngineeringDefine scalable and maintainable application architectures.Lead architecture decisions across backend, AI, APIs, databases and cloud infrastructure.Design enterprise-grade systems using

Python and JavaScript/TypeScript

.Lead API-first, event-driven and integration-heavy architectures.Review system design, technical decisions and critical code.Ensure security, scalability, maintainability and performance are considered from the beginning.3. AI EngineeringLead the development and integration of production-grade AI systems, including:LLM-powered applicationsAI agentsAgentic workflowsMulti-agent systemsRetrieval-Augmented Generation (RAG)Enterprise AI assistantsAI automationAI orchestrationModel and tool integrationsAI evaluation and monitoringWork with models and platforms across

OpenAI, Anthropic, Google and open-source ecosystems

where appropriate.The focus should always be on

solving the business problem first and selecting the right AI approach second.4. MCP & Intelligent IntegrationsTake ownership of modern AI-to-system integration using

Model Context Protocol (MCP)

.Responsibilities include:Design and develop MCP servers.Connect AI agents with enterprise applications and internal tools.Enable AI systems to work with CRMs, ERPs, databases and business applications.Design tool-use and orchestration architectures.Implement authentication, authorization and permission controls.Establish standards for secure and maintainable MCP implementations.Identify opportunities where MCP can simplify enterprise AI integrations.5.



AI-Assisted Development & Vibe CodingAI-assisted development is becoming a core engineering capability at Biz4Group.You will:Promote

high-quality AI-assisted development and Vibe Coding

.Help teams use AI coding tools effectively without compromising engineering standards.Define practices for prompting, code generation, review and validation.Ensure AI-generated code meets production standards.Introduce automated testing and validation wherever possible.Measure whether AI adoption is actually improving development speed and quality.The goal is not simply to

write more code faster

.The goal is to

build better software faster without sacrificing quality.6. Product & Business ThinkingTechnology decisions should always connect back to the customer's business problem.You will:Understand the problem before recommending technology.Convert business requirements into scalable technical solutions.Work closely with Product, Sales, Delivery and customers.Identify technical approaches that improve customer value.Balance speed, quality, cost and long-term maintainability.Identify opportunities to turn repeated project requirements into reusable products, components or platforms.Help teams move from a

project-delivery mindset to a product-delivery mindset

.7. Engineering Team LeadershipLead, mentor and develop engineering teams.Build technical capability across AI, architecture and modern development.Participate in technical hiring and interviews.Identify skill gaps and create development plans.Establish clear technical ownership within teams.Support engineers in solving complex technical problems.Build a culture where engineers take ownership instead of waiting for instructions.8. Delivery & QualityEnsure projects are technically ready for development before execution begins.Identify technical risks and dependencies early.Improve engineering estimation and delivery predictability.Establish strong testing and QA practices.Reduce production defects and technical rework.Ensure proper documentation and knowledge transfer.Maintain high standards for customer experience and production reliability.

Core Technical ExpertiseProgrammingMust Have:Python — strong/expert levelJavaScript / TypeScript — solid/expert levelAI & LLMStrong hands-on understanding of:LLM integrationAI agentsAgentic AIMulti-agent systemsPrompt engineeringRAGEmbeddingsVector databasesAI evaluationAgent orchestrationAI observability and monitoringMCPStrong practical understanding of:Model Context ProtocolMCP server developmentTool integrationTool orchestrationContext managementAI-to-enterprise system integrationsAuthentication and authorization for AI toolsBackendExperience with several of:FastAPIDjangoFlaskNode.jsExpress.jsREST APIsGraphQLWebSocketsCloud & DevOpsExperience with:AWS, Azure or Google CloudDockerKubernetesCI/CDInfrastructure as CodeGitHub ActionsMonitoring and observabilityDatabasesExperience with:PostgreSQLMongoDBRedisVector databases such as Pinecone, Weaviate, Qdrant, Chroma or similar





Business & Product ExpectationsThe right person should be able to answer:What business problem are we solving?Why is AI required for this problem?What is the simplest architecture that can solve it?How will we measure whether the solution works?Can this become reusable across multiple customers?What will it cost to operate at scale?You should be comfortable challenging technical decisions when they do not make business sense and explaining complex technology in simple business terms.

Required Experience9+ years

of software engineering experience.5+ years

of technical/team leadership experience.Strong hands-on experience building production software.Experience building and deploying AI-powered applications.Strong Python and JavaScript/TypeScript expertise.Practical experience with LLM-based applications and AI agents.Strong understanding of system architecture and enterprise integrations.Experience with MCP servers or similar AI tool-integration architectures.Experience working with cloud platforms and modern DevOps practices.Experience working with product, delivery and customer-facing teams.Experience in

SaaS, PropTech, HealthTech, FinTech, enterprise software or other domain-driven products

is an advantage.

What We Look ForMore than the technology stack, we are looking for someone with:Product mindset over project mindsetStrong ownership and accountabilityBusiness-first thinkingStrong architectural judgmentAbility to simplify complex problemsHigh engineering standardsPractical AI expertiseCuriosity and continuous learningStrong communicationAbility to challenge assumptionsAbility to mentor and develop engineersBias toward executionStrong customer orientation

Success in This RoleIn the first 12 months, success will be measured by tangible improvements in:EngineeringEngineering productivityDevelopment speedCode qualityProduction stabilityReduction in defects and reworkAI AdoptionMeaningful adoption of AI-assisted developmentProduction deployment of AI-powered solutionsAI engineering standards across teamsEffective use of AI agents and MCP-based integrationsDeliveryDelivery predictabilityTechnical risk reductionFaster problem resolutionImproved engineering qualityPeopleGrowth of engineering capabilityStronger technical ownershipBetter mentoring and knowledge sharingStronger technical leadership pipelineBusinessBetter customer outcomesReusable technology and product componentsImproved delivery efficiencyContribution to new AI-led business opportunities

Why Join Biz4Group?Build in the AI EraWork on AI agents, enterprise automation, LLM applications, MCP and AI-native software products.Influence Technical DirectionYou will have an opportunity to influence architecture, engineering practices and AI adoption across the organization.Build Products, Not Just ProjectsWork with teams that are increasingly focused on turning customer problems into scalable products and reusable solutions.Work Across DomainsGet exposure to enterprise use cases across AI, SaaS, PropTech, HealthTech, FinTech and other technology domains.Grow as a Technical LeaderThe role provides an opportunity to grow beyond engineering management into

AI architecture, product strategy and technology leadership

.

The Person We Are Looking ForIf you are someone who can

understand a business problem, design the right technical solution, build it with modern AI practices, guide engineers through execution and take ownership of the final outcome

, this role is for you.

📌 AI Technical Manager (Mumbai)
🏢 Biz4Group
📍 Mumbai