Full Stack Java/Python Engineer – AI-Native Applications

Role: Full Stack Java/Python Engineer – AI-Native Applications
Location: Remote

Job Summary
We are seeking a strong Java expert who is eager to apply their deep engineering foundation to the rapidly evolving field of AI. This role is ideal for a seasoned backend engineer with mandatory strong proficiency in Java (Spring Boot) looking to transition into the AI/ML space. You will be responsible for designing, developing, and deploying robust and scalable AI-native applications that leverage artificial intelligence (AI) and machine learning (ML) services and tools.
The ideal candidate brings expertise in full-stack web application development and backend service development using Java (Spring Boot) and Python, along with modern JavaScript frameworks such as Angular and React. While direct, extensive AI experience is a plus, a core strength in building highly scalable, enterprise-grade backend services across the full application lifecycle (development, deployment, telemetry, logging, and monitoring) is essential.

Key Responsibilities:
•            Design, develop, and maintain AI-native web applications, APIs, and backend services, including Retrieval-Augmented Generation (RAG) solutions.
•            Develop robust, Java-based backend services and microservices (Spring Boot) to support AI workflows, orchestration, and enterprise integrations.
•            Utilize Google Cloud Platform (Google Cloud Platform) services (e.g., Vertex AI, BigQuery, Cloud Storage) and Microsoft Azure services (e.g., Azure Machine Learning, Azure OpenAI Service, Azure Synapse Analytics / Azure Data Explorer, Azure Blob Storage) for AI/ML workloads and application deployment.
•            Implement and integrate AI/ML models and ML services into applications using Python and Java, exposing capabilities through RESTful APIs.
•            Implement prompt engineering, agent workflows, and RAG pipelines using LangChain, LangGraph, ADK, and related orchestration frameworks.
•            Develop modular, scalable architectures and integrate LLMs with enterprise systems, databases, and external services.
•            Implement vector databases for semantic search and build connectors for structured and unstructured data ingestion.
•            Collaborate with data scientists, product managers, and architects to translate business requirements into scalable technical solutions.
•            Follow Agile/Scrum practices; document technical designs, workflows, and best practices.

Required Qualifications:
•            Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
•            5+ years of experience in backend or full-stack development, with a focus on building robust, scalable enterprise systems.
•            Mandatory Strong proficiency in Java for backend development, with hands-on experience using Spring Boot.
•            Strong proficiency in Python for AI/ML development and orchestration.
•            Proficiency in JavaScript/TypeScript and modern frontend frameworks (Angular/React).
•            Experience with containerization (Docker, Kubernetes) and CI/CD pipelines.
•            Hands-on experience with Google Cloud Platform and Azure services for application deployment and cloud-based AI/ML workloads.
•            Familiarity with LangChain, ADK, and agent orchestration frameworks.
•            Familiarity with LLMs (OpenAI, Azure OpenAI, Hugging Face) and prompt engineering concepts.
•            Strong understanding of enterprise system integration and cloud architecture.
•            Excellent communication skills and ability to work effectively in Agile environments.