Java Backend + AI Agent Developer
Pune, India · hace 11 meses
Desarrollar microservicios Java de alto rendimiento e integrar agentes de IA basados en LLM con llamadas a herramientas, RAG y flujos multiagente en sistemas de producción. El puesto combina ingeniería backend con desarrollo de IA agéntica.
- Modalidad
- Presencial
- Nivel
- Senior
- Experiencia
- 5+ años
Skills
Sobre el puesto
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. Working at Jade Global Talented people are drawn to world-class organizations that offer outstanding opportunities, and Jade Global is an employer of choice for individuals around the world. We invest in each employee’s personal and professional wellbeing because we understand that client success, as well as our ultimate success, starts with our employees. We seek to provide the benefits you need while standing behind you every step of the way. Our programs include health-related policies and leave donation policy.
Publicada el 10 dic 2025
