Sr. JAVA Fullstack Developer
Java Full stack + AI Engineer
Experience: 5+ Years
Location: Bangalore / Hyderabad / Chennai / Pune / Coimbatore / Noida
Employment Type: Full‑time
Key Responsibilities
- Design, develop, and engineer end‑to‑end AI/ML and GenAI solutions, including document understanding, summarization, and theme extraction.
- Build and maintain LLM‑based pipelines, including Retrieval‑Augmented Generation (RAG) systems using vector databases and advanced indexing strategies.
- Develop and optimize Generative AI applications for text summarization, content generation, and knowledge extraction from structured and unstructured data.
- Apply advanced GenAI tuning techniques such as QLORA, LORA, and PEFT to fine‑tune large language models.
- Implement and optimize vector search and embedding pipelines to enhance search accuracy and performance.
- Perform prompt engineering to maximize LLM accuracy and efficiency.
- Design and develop high‑performance RESTful and GraphQL APIs using modern frameworks.
- Contribute to full‑stack development, including front‑end UI and back‑end services.
- Collaborate with product managers, AI model teams, and engineers to translate business requirements into scalable technical solutions.
- Deploy, monitor, and maintain AI models in production, contributing to MLOps practices such as model versioning, CI/CD, and monitoring.
- Participate actively in Agile/Scrum ceremonies, sprint planning, and code reviews.
- Stay current with the latest advancements in Generative AI, NLP, and software engineering, and proactively propose innovations.
Required Technical Skills
- Minimum 5+ years of proven software development experience.
- Strong understanding of Data Structures, Algorithms, and Object‑Oriented Programming.
- Deep knowledge of modern application architecture principles.
- Extensive experience with Service‑Oriented and Microservices architectures.
- Expert‑level proficiency in Python and frameworks/libraries such as FastAPI, Pydantic, PyTorch, HuggingFace ecosystem.
- Hands‑on experience building and deploying applications using Large Language Models (LLMs).
- Strong expertise in NLP techniques: text classification, summarization, topic modeling.
- Experience with Agentic Workflows and Model Context Protocol (MCP).
- Strong experience with RAG frameworks (e.g., LangChain, LlamaIndex).
- Hands‑on knowledge of vector databases, embeddings, and semantic search.
- Front‑end development using React or similar JavaScript frameworks, HTML5, and CSS.
- Back‑end development using Python, Java, or similar languages.
- Strong experience in API design and development (REST/GraphQL).
- Strong knowledge of SQL and PL/SQL, with experience in Oracle or other RDBMS.
- Experience with CI/CD pipelines and tools such as Maven, Gradle, Jenkins, Docker, OpenShift.
- Hands‑on experience with Docker and Kubernetes.
- AWS experience is a strong advantage.
- Proficiency with Git / GitHub Enterprise.
Experience: 5-8 Years .
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