Innorev Technologies Inc
Java AI Lead
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Java AI Lead with 8+ years of software development experience, focusing on Java, Spring Boot, REST APIs, Microservices, and cloud platforms (AWS/Azure). Key skills include Generative AI, RAG architectures, and strong API security knowledge.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
July 22, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Bethesda, MD
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🧠 - Skills detailed
#Microservices #AI (Artificial Intelligence) #REST API #AWS (Amazon Web Services) #Cloud #NoSQL #REST (Representational State Transfer) #Kubernetes #API (Application Programming Interface) #Security #Azure #Docker #Spring Boot #Java #Databases
Role description
8+ years of professional software development experience.
Strong hands-on experience with Java and Spring Boot.
Strong experience developing REST APIs and Microservices.
Experience with cloud platforms such as AWS or Azure.
Hands-on experience with Generative AI and LLM-based applications.
Experience developing or integrating AI Agents / Agentic AI solutions.
Strong experience with RAG architectures.
Experience with embeddings, vector databases, and semantic search.
Experience with MCP (Model Context Protocol) or similar AI tool-integration frameworks.
Strong knowledge of API security, OAuth2, JWT, and enterprise security practices.
Experience with relational and NoSQL databases.
Experience with CI/CD, Docker, and Kubernetes.
Strong understanding of distributed systems and event-driven architectures.
Excellent problem-solving and communication skills.
8+ years of professional software development experience.
Strong hands-on experience with Java and Spring Boot.
Strong experience developing REST APIs and Microservices.
Experience with cloud platforms such as AWS or Azure.
Hands-on experience with Generative AI and LLM-based applications.
Experience developing or integrating AI Agents / Agentic AI solutions.
Strong experience with RAG architectures.
Experience with embeddings, vector databases, and semantic search.
Experience with MCP (Model Context Protocol) or similar AI tool-integration frameworks.
Strong knowledge of API security, OAuth2, JWT, and enterprise security practices.
Experience with relational and NoSQL databases.
Experience with CI/CD, Docker, and Kubernetes.
Strong understanding of distributed systems and event-driven architectures.
Excellent problem-solving and communication skills.
