AI Solution Architect

Who we are Bitrock 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 for We'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 are The 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 Responsibilities AI 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.Requirements Experience: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 applicationSecurityprinciples Experience 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 team Technical interview with our Team Leaders Final interview with our Head of AreaHow to apply: You can apply via LinkedIn or send your cv to