AI Engineer - Java

AI Engineer – Java / Generative AI

Job Title: AI Engineer – Java / Generative AI

Location: Remote

Job Type: Contract / Contract-to-Hire

Experience: 2–3 Years

Job Summary

We are looking for a motivated AI Engineer with a strong Java development background to help build and integrate AI-powered applications. The ideal candidate will have hands-on experience with Java, Spring Boot, REST APIs, and microservices , along with exposure to Generative AI, Large Language Models (LLMs), and AI application development .

This is an excellent opportunity for a software engineer who has a strong foundation in Java and is looking to grow further in Generative AI and modern AI technologies .

Key Responsibilities

• Develop and maintain backend applications using Java and Spring Boot .
• Build and integrate REST APIs and microservices .
• Develop AI-powered features using Generative AI and LLM technologies .
• Integrate LLM APIs such as OpenAI, Azure OpenAI, Google Gemini, Anthropic , or similar platforms.
• Work with prompt engineering, embeddings, vector search, and RAG concepts.
• Assist in developing AI assistants, chatbots, and intelligent automation solutions.
• Integrate AI capabilities into existing Java-based applications.
• Work with databases and enterprise data sources to support AI applications.
• Collaborate with senior engineers and architects to design and implement AI solutions.
• Write clean, maintainable, and well-tested code.
• Troubleshoot application and integration issues.
• Participate in code reviews, testing, deployment, and technical documentation.
• Stay current with emerging Generative AI and LLM technologies .

Required Skills

• 2–3 years of professional software development experience .
• Strong hands-on experience with Java .
• Experience with Spring Boot and RESTful web services.
• Good understanding of microservices architecture .
• Basic to intermediate knowledge of Generative AI and LLMs .
• Experience working with at least one LLM platform or API such as OpenAI, Azure OpenAI, Gemini, or Anthropic .
• Understanding of prompt engineering and RAG concepts .
• Familiarity with Python for AI-related development or scripting.
• Experience with SQL and relational databases .
• Familiarity with Git, CI/CD, Docker , or similar development tools.
• Good understanding of software development lifecycle and Agile methodologies.

Preferred Skills

• Exposure to LangChain, LangGraph, LlamaIndex, Spring AI , or similar frameworks.
• Experience working with vector databases such as Pinecone, Weaviate, Milvus, pgvector, or Azure AI Search.
• Exposure to AI agents and agentic workflows .
• Familiarity with AWS, Azure, or Google Cloud .
• Knowledge of NLP and basic machine learning concepts.
• Exposure to Kafka or event-driven architectures .
• Experience integrating third-party APIs and AI services.

Education

Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field.

Ideal Candidate

The ideal candidate will be a Java developer with 2–3 years of experience who has hands-on exposure to Generative AI . Strong Java/Spring Boot fundamentals are essential, while experience with LLMs, RAG, AI APIs, and AI frameworks will be highly valued.

Candidates who have built AI/LLM projects, chatbots, RAG applications, AI assistants, or GenAI prototypes through professional work, internships, academic projects, or personal projects are encouraged to apply.