Ai Solution Architect

Who we areBitrock is a high-end consulting and system integration company,strongly committed to offering cutting-edge and innovative solutions.Our tailored consulting services enable our clients to preserve the value of legacy investments while migrating to more efficient systems and infrastructure.We take a holistic approach to technology: we consider each system in its totality, as a set of interconnected elements that work together to meet business needs.We thrive on overcoming challenges to help our clients reach their goals, by supporting them in the following areas: Data, AI & ML Engineering; Back-end Engineering, Platform Engineering, Front-end Engineering, Product Design & UX Engineering, Mobile App Development, Quality Assurance, FinOps, GovernanceThe effectiveness our solutions also stems frompartnershipswith key technology vendors, like HashiCorp, Confluent, Lightbend, Databricks, and Meterian.Who we are looking forWe're seeking a highly skilled and experiencedSenior Software Engineer / Solution Architect-Freelanceto join our dynamic team.This pivotal role requires deep expertise in theJava/JVM ecosystem, modern microservice architectures, and complex data management.A critical focus of this role is designing and buildingAI Agentsthat are context-aware and capable of complex actions, utilizing theModel Context Protocol (MCP)andSpring AI.Who you areThe ideal candidate will bridge architectural design with hands-on implementation, driving the development of secure, scalable, and high-performance applications that leverage the full potential of connected AI.Key ResponsibilitiesAI Agent & MCP Development:Design, develop, and deploy sophisticatedAI AgentsusingSpring AI.Crucially, lead the implementation and integration of the Model Context Protocol (MCP), enabling agents to securely and efficiently access external data, tools, and services (databases, APIs, file systems).Architecture & Design:Define and implement robust, scalable, and secure system architectures, specializing in Java/Spring-based microservices.Lead the technical design for new features, ensuring optimal integration of AI and data components.Core Development:Write high-quality, efficient, and testable code primarily inJavaon theJVM.Ensure best practices, code standards, and secure coding principles are followed.Data & Caching:Design and optimize data models for bothRelational Databases(e.g., PostgreSQL, MySQL) andNoSQL Databases(e.g., MongoDB).Implement and manage advancedCaching strategies(e.g., Redis) for high performance.Security:Design and enforce application-levelSecuritymeasures (e.g., OAuth2, JWT, Spring Security), including secure credential management for MCP connections.Mentorship & Leadership:Provide technical guidance, code reviews, and mentorship to team members, driving expertise in AI integration patterns.RequirementsExperience:7+ years of professional software development experience, with at least 2 years in an Architect or Lead Engineer capacity.Core Technology:Expert proficiency inJavaand theJVMecosystem.Frameworks:Deep, hands-on experience with theSpring Framework(Spring Boot, Spring MVC, Spring Data, Spring Security).AI & Agents:Proven experience in developing AI/ML-driven applications and building production-gradeAI Agents(e.g., for orchestration, RAG, tool use).Model Context Protocol (MCP):Mandatory hands-on experiencein implementing theMCP(Model Context Protocol), including building/consumingMCP Serversand/orMCP Clientsfor connecting LLMs to external systems.Experience with theSpring AI MCP Boot Starters/SDKis highly desirable.Databases:Strong command of data modeling, query optimization, and performance tuning for bothRelationalandNoSQLdatabases.Caching & Security:Extensive experience implementing distributedCachingsolutions and solid understanding of modern applicationSecurityprinciplesExperience with message queuing/streaming platforms (Kafka, RabbitMQ), which are often critical components in agentic workflows.Experience with cloud platforms (AWS, Azure, or GCP).Familiarity with containerization and orchestration (Docker, Kubernetes).Recruitment process:Our recruitment process has 3 stages:First discovery short interview with our HR teamTechnical interview with our Team LeadersFinal interview with our Head of AreaHow to apply:You can apply via LinkedIn or send your cv to