Verified Job
IT / Software / Data Analyst
Java Backend + AI Agent Developer
IT / Software / Data Analyst
#655426
Remote / WFH
Job Description
Java Backend + AI Agent Developer1
Key Responsibilities
Java Backend Engineering
• Develop, optimize, and maintain high-performance backend applications using Java (8/11/17).
• Build robust microservices using Spring Boot / Spring Cloud.
• Design scalable RESTful APIs and event-driven architectures.
• Implement secure, highly available, low-latency backend systems.
• Work with both relational and NoSQL databases such as MySQL, PostgreSQL, MongoDB, Redis.
Agentic AI Development
• Build and integrate AI agents using frameworks such as:
• LangChain / LangGraph
• OpenAI Assistants / ReAct / AutoGen
• HuggingFace, LlamaIndex, or custom agentic frameworks
• Develop advanced agentic workflows including:
• Tool calling and function calling
• Task planning and retrieval-augmented generation (RAG)
• Dynamic reasoning and multi-agent collaboration
• Integrate leading LLMs (GPT, Claude, Llama, Mistral, etc.) into Java-based systems.
• Build workflows and pipelines for prompt engineering, model orchestration, and inference.
Required Skills
• 5–8 years of experience in Core Java, concurrency, multithreading, and performance tuning.
• Strong expertise in Spring Boot, REST APIs, and microservices architecture.
• Proficiency in SQL/NoSQL databases and integrating real-time data streams.
• Solid understanding of LLMs, RAG, embeddings, and vector databases.
• Practical experience building AI agent pipelines.
• Hands-on experience with OpenAI API, LangChain, or similar frameworks.
• Knowledge of prompt engineering and model fine-tuning techniques.
• Demonstrated experience deploying AI-driven or agentic systems in production.
• Familiarity with vector databases such as Pinecone, FAISS, Milvus, Weaviate.
• Experience with cloud ecosystems (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).
Desirable Qualifications
• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
• Working knowledge of Python for interacting with core AI/ML services or models.
• Experience with modern vector databases such as Weaviate, Pinecone, Chroma, etc.
Key Responsibilities
Java Backend Engineering
• Develop, optimize, and maintain high-performance backend applications using Java (8/11/17).
• Build robust microservices using Spring Boot / Spring Cloud.
• Design scalable RESTful APIs and event-driven architectures.
• Implement secure, highly available, low-latency backend systems.
• Work with both relational and NoSQL databases such as MySQL, PostgreSQL, MongoDB, Redis.
Agentic AI Development
• Build and integrate AI agents using frameworks such as:
• LangChain / LangGraph
• OpenAI Assistants / ReAct / AutoGen
• HuggingFace, LlamaIndex, or custom agentic frameworks
• Develop advanced agentic workflows including:
• Tool calling and function calling
• Task planning and retrieval-augmented generation (RAG)
• Dynamic reasoning and multi-agent collaboration
• Integrate leading LLMs (GPT, Claude, Llama, Mistral, etc.) into Java-based systems.
• Build workflows and pipelines for prompt engineering, model orchestration, and inference.
Required Skills
• 5–8 years of experience in Core Java, concurrency, multithreading, and performance tuning.
• Strong expertise in Spring Boot, REST APIs, and microservices architecture.
• Proficiency in SQL/NoSQL databases and integrating real-time data streams.
• Solid understanding of LLMs, RAG, embeddings, and vector databases.
• Practical experience building AI agent pipelines.
• Hands-on experience with OpenAI API, LangChain, or similar frameworks.
• Knowledge of prompt engineering and model fine-tuning techniques.
• Demonstrated experience deploying AI-driven or agentic systems in production.
• Familiarity with vector databases such as Pinecone, FAISS, Milvus, Weaviate.
• Experience with cloud ecosystems (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).
Desirable Qualifications
• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
• Working knowledge of Python for interacting with core AI/ML services or models.
• Experience with modern vector databases such as Weaviate, Pinecone, Chroma, etc.
