JAVA TECHNICAL LEAD

• • Apply deep technical expertise across all phases of the software development lifecycle, partnering closely with business and technology stakeholders.
  • Design, develop, and deliver enterprise‑scale applications within Agile/Scrum teams, consistently meeting sprint goals.
  • Architect and implement end‑to‑end AI/ML pipelines for document understanding, summarization, and theme extraction.
  • Build and optimize LLM‑based and Generative AI applications for content generation, summarization, and knowledge extraction.
  • Design, develop, and maintain Retrieval‑Augmented Generation (RAG) systems using vector databases and advanced indexing strategies.
  • Fine‑tune large language models using QLORA, LORA, and PEFT techniques to optimize performance, cost, and accuracy.
  • Implement and optimize vector search and embedding pipelines for high‑quality information retrieval.
  • Develop and refine prompts to maximize LLM effectiveness.
  • Collaborate with product managers, AI research teams, and platform engineers to translate business needs into scalable solutions.
  • Deploy and monitor AI solutions in production, contributing to robust MLOps practices including versioning, CI/CD, and monitoring.
  • Leverage AI‑assisted development tools (e.g., GitHub Copilot) to enhance productivity and software quality.
  • Perform root‑cause analysis, troubleshoot complex system issues, and drive long‑term corrective solutions.
  • Contribute to process optimization, automation, and continuous improvement across engineering and operational workflows.

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  🧠 Key Qualifications & Skills

  🔧 Core Engineering

  • 5+ years of professional software development experience.
  • Strong understanding of data structures, algorithms, and object‑oriented design.
  • In‑depth knowledge of modern application architecture principles.
  • Proven experience with Service‑Oriented and Microservices architectures, including REST and GraphQL APIs.