AI Developer

There will be one or more Client Interviews Candidates are expected to work in EST hours Fully remote - Open to LATAM

Job Responsibilities Design, development, and delivery of Java-based backend services integrated with AI-powered components leveraging GenAI technologies such as OpenAI, Azure OpenAI, Hugging Face, LangChain, and LlamaIndex. Build and maintain scalable Java applications using Spring Boot, REST APIs, relational and NoSQL databases, ensuring seamless integration with AI-driven microservices and retrieval-augmented generation (RAG) models. Collaborate with AI engineers to incorporate vector databases (Pinecone, FAISS, ChromaDB) and AI retrieval pipelines into enterprise software. Develop, optimize, and deploy LLM prompt engineering solutions, embedding models, and AI-enhanced workflows targeting healthcare domain challenges in RCM and beyond. Estimate development efforts considering AI model inference latency, API rate limits, and backend service performance requirements.? Participate actively in Agile ceremonies, sprint planning, and code reviews to ensure timely delivery of AI-enabled Java features with high quality and adherence to coding standards. Adhere to AI governance, ethical AI practices, security compliance (HIPAA, GDPR, SOC2), and maintain AI model evaluation and benchmarking (BLEU, ROUGE, cosine similarity) as integral parts of the development lifecycle.

Typical Qualifications 4 years of software engineering experience with significant product development expertise Hands on experience in developing product with AI/GenAI integration. Bachelor’s Degree or equivalent experience in Computer Science, Engineering, or closely related fields. Proficient in Java, Spring Boot, REST APIs, relational SQL and NoSQL databases, and cloud platforms (AWS or Azure). Strong experience with AI frameworks/APIs including OpenAI GPT, Hugging Face Transformers, LangChain, LlamaIndex. Familiarity with retrieval-augmented generation (RAG) concepts, LLM prompt engineering, embeddings, and vector similarity search using Pinecone, FAISS, or ChromaDB. Solid understanding of Unix/Linux environments, big data pipelines, and continuous integration/continuous deployment (CI/CD) practices in Agile settings. Demonstrated ability to design, implement, and optimize AI model APIs, AI workflows, and Java backend services with attention to scalability, latency, and security. Excellent problem-solving skills and a collaborative approach working with cross-disciplinary teams in a fast-paced environment Bachelor’s Degree or equivalent experience