Jobs via Dice ยท 6 hours ago
Lead Java AI Engineer
Dice is the leading career destination for tech experts, and they are seeking a Lead Java AI Engineer to design, build, and integrate intelligent systems into scalable enterprise applications. The ideal candidate will work closely with cross-functional teams to design robust backend services and embed AI-driven capabilities such as natural language processing and predictive analytics.
Computer Software
Responsibilities
Design and develop high-performance applications using Java (Spring Boot, Microservices)
Integrate AI models via REST APIs, Python services, or cloud AI platforms
Collaborate with data scientists to deploy and optimize ML models in production
Build APIs and microservices that enable intelligent, data-driven features
Implement data pipelines for AI workloads, ensuring scalability and reliability
Evaluate and experiment with GenAI, LLMs, and AI APIs (OpenAI, AWS Bedrock, Vertex AI, OpenAI)
Maintain coding standards, CI/CD pipelines, and cloud deployment best practices (AWS, Google Cloud Platform)
Troubleshoot performance issues and ensure application reliability
Qualification
Required
Bachelor s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education
At least 4 years of experience in Information Technology
Experience in Java/J2EE development
Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time
Location for this position is Austin, TX. This position requires travel and/or relocation to project/client location
Preferred
At least 3 years of experience in Java/J2EE development
At least 3 years of experience in DB SQL/NoSQL
Strong knowledge of Spring Boot, Microservices, Spring Security, Spring MVC, Spring Data, JPA, Hibernate
Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, scikit-learn)
Experience integrating AI APIs (OpenAI, Hugging Face, Google Vertex AI)
Hands-on experience designing and integrating microservices using REST APIs and asynchronous messaging (Kafka)
High-level knowledge of CI/CD
Familiarity with Generative AI technologies (LLM integration, prompt engineering, AI model APIs)
Solid understanding of data structures, algorithms, and software design patterns
Familiarity with Python for ML model interaction or API wrapping
Experience with Docker, Kubernetes, and cloud environments (AWS/Google Cloud Platform/Azure)
Exposure to LangChain, LangGraph, RAG architecture, or vector databases (Pinecone, FAISS)
Understanding of the machine learning lifecycle (training, testing, deployment)
Experience with event-driven systems (Kafka, RabbitMQ)
Contribution to AI-based open-source projects or hackathons
Strong analytical and troubleshooting skills
Excellent oral and written communication skills
Ability to independently learn new technologies
Passionate, team player, and fast learner
Company
Jobs via Dice
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Funding
Current Stage
Early StageCompany data provided by crunchbase