Senior Java/Python Developer &Agentic AI

We are seeking a highly skilled Senior Java/Python Developer with 8+ years of experience in enterprise application development and hands-on expertise in Agentic AI solutions. The ideal candidate will have a strong background in Java, Python, Microservices, and AI frameworks, with proven experience building intelligent AI agents that enhance and automate end-user journeys., * Design, develop, and maintain scalable Java-based Microservices and enterprise applications.

• Build Python-based AI services and integrate them with Java applications.
• Develop intelligent AI agents capable of executing multi-step business workflows.
• Build AI-driven solutions that improve customer and end-user experiences.
• Integrate AI agents with enterprise platforms, databases, and third-party APIs.
• Develop secure, scalable, and high-performance backend services.
• Collaborate with product managers, architects, and cross-functional teams to deliver innovative AI solutions.
• Participate in code reviews, architecture discussions, and technical mentoring.
• Ensure application performance, scalability, security, and reliability.

• 8+ years of software development experience.
• Strong proficiency in Java (Java 17/21), Spring Boot, Spring MVC, and Microservices architecture.
• Strong hands-on experience with Python for AI application development and automation.
• Experience developing RESTful APIs and integrating enterprise systems.
• Strong knowledge of SQL and NoSQL databases (PostgreSQL, Oracle, MongoDB, etc.).
• Experience with Docker, Kubernetes, and cloud platforms (AWS, Azure, or GCP).
• Familiarity with CI/CD pipelines, Git, and Agile methodologies.

AI & Agentic AI Experience (Must Have)

• Experience designing and developing AI agents that automate and improve end-user workflows and experiences.
• Hands-on experience with Large Language Models (LLMs) such as OpenAI GPT, Gemini, Claude, or Llama.
• Experience with AI frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, or OpenAI Agents SDK.
• Experience implementing Retrieval-Augmented Generation (RAG) solutions using vector databases such as Pinecone, Milvus, Weaviate, ChromaDB, or similar.
• Experience with prompt engineering, context management, memory, and conversation orchestration.
• Experience integrating AI agents with enterprise applications through APIs and tool/function calling.
• Understanding of multi-agent systems and autonomous workflow orchestration., * Experience with Model Context Protocol (MCP).
• Experience with AI tool/function calling and agent orchestration.
• Knowledge of event-driven architecture using Kafka or RabbitMQ.
• Experience with observability tools such as Prometheus, Grafana, ELK, or Splunk.
• Exposure to Generative AI platforms and AI governance best practices.
• Banking, Financial Services, Retail, or Enterprise domain experience is preferred., Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related field.