Lead Software Engineer (Generative AI Java)

Principal or Lead Engineer

Java-based backend development

Generative AI technologies

Responsibilities

• Lead end-to-end architecture and implementation of Generative AI solutions integrated with Java-based applications
• Evaluate, fine-tune, and deploy foundational and LLM models (e.g., GPT, LLaMA, Claude, Gemini) for use cases such as code generation, summarization, intelligent assistants, etc.
• Collaborate with engineers and practice leads to identify and scope high-impact Gen AI use cases
• Build solutions based on AI models with engineers. Mentor and guide junior engineers and set technical direction across AI initiatives
• Build scalable APIs and microservices in Java/Spring Boot that interact with AI models
• Optimize performance and cost of AI solutions in production using prompt engineering, retrieval-augmented generation (RAG), caching, and model selection
• Contribute to AI model experimentation and evaluation pipelines (OpenAI, Hugging Face, LangChain, etc.)
• Drive adoption of Gen AI best practices (e.g., guardrails, ethical AI, observability, and feedback loops)
  

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
• 10+ years of experience in Java/J2EE/Spring Boot and backend architecture
• 3+ years of experience working on ML/AI/Gen AI systems, including hands-on work with LLM APIs or open-source models
• Strong knowledge of modern Gen AI frameworks like LangChain, LlamaIndex, and Vector DBs (e.g., FAISS, Pinecone, Chroma)
• Experience integrating with LLMs via APIs (OpenAI, Azure OpenAI, Hugging Face) or self-hosted models
• Working knowledge of Python for AI model orchestration and prototyping
• Solid understanding of data pipelines, REST APIs, containerization (Docker, Kubernetes), and CI/CD workflows
• Experience with AWS, GCP, or Azure AI/ML services
  

Nice to have

• Familiarity with prompt engineering and fine-tuning LLMs using techniques like LoRA or PEFT
• Experience building RAG-based chatbots, copilots, or AI-powered developer tools
• Contributions to AI communities, research, or open-source Gen AI projects
• Strong communication and stakeholder management skills