Senior Software Development Engineer

Position Summary :

We are seeking an experienced Senior Java/Python Developer with strong expertise in enterprise application development and extensive hands-on experience in Artificial Intelligence (AI), Generative AI (GenAI), Large Language Models (LLMs), and AI-powered application development. The ideal candidate will lead the design, development, and deployment of scalable, intelligent solutions that integrate modern AI technologies with enterprise-grade Java and Python ecosystems.

This role requires a combination of strong software engineering skills, AI innovation capabilities, and architectural leadership.

Key Responsibilities :

Application Development :

- Design, develop, and maintain scalable enterprise applications using Java and Python.

- Develop RESTful APIs, microservices, and event-driven architectures.

- Build high-performance backend systems using Spring Boot, FastAPI, Flask, or Django.

- Ensure code quality through unit testing, integration testing, and code reviews.

AI & Generative AI Development :

- Design and implement AI-powered solutions leveraging Large Language Models (LLMs).

- Develop intelligent applications using OpenAI, Azure OpenAI, Anthropic Claude, Google Gemini, and similar platforms.

- Build Retrieval Augmented Generation (RAG) architectures for enterprise knowledge systems.

- Implement AI agents, copilots, chatbots, virtual assistants, and workflow automation solutions.

- Engineer prompts and build prompt orchestration frameworks.

- Develop multi-agent AI systems and autonomous AI workflows.

Required Technical Skills :

Core Programming :

- Expert-level proficiency in:

1. Java (Java 11/17/21)

2. Python 3.x

- Strong understanding of OOP, design patterns, and software engineering principles.

Java Technologies :

- Spring Boot

- Spring Cloud

- Hibernate/JPA

- Microservices Architecture

- Kafka/RabbitMQ

- REST API Development

Python Technologies :

- FastAPI

- Flask

- Django

- Pandas

- NumPy

- Async Programming

Generative AI & LLMs :

- OpenAI APIs

- Azure OpenAI

- LangChain

- LangGraph

- LlamaIndex

- Semantic Kernel

- Hugging Face

- Prompt Engineering

- RAG Frameworks

- AI Agent Frameworks

- Vector Databases (Pinecone, Weaviate, ChromaDB, Milvus, FAISS)

Preferred Qualifications :

- Experience developing enterprise AI copilots and intelligent assistants.

- Experience implementing AI solutions using Microsoft Copilot Studio, Azure AI Services, or similar platforms.

- Knowledge of AI governance, responsible AI, security, and compliance frameworks.

- Experience in travel, finance, telecom, retail, or large enterprise environments.

- Exposure to graph databases and knowledge graphs.

- Understanding of multimodal AI (text, image, audio, video).

Educational Qualifications :

- Bachelor's or Master's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, or related discipline.

- Generative AI certifications preferred.

Key Competencies :

- Solution Architecture

- AI Innovation & Thought Leadership

- Problem Solving

- Stakeholder Management

- Technical Mentoring

- Agile Development

- Analytical Thinking

- Communication & Presentation Skills

Success Metrics :

- Delivery of scalable AI-enabled enterprise solutions.

- Reduction in operational effort through AI automation.

- Successful deployment of GenAI applications into production.

- Application performance, reliability, and security.

- Adoption of AI best practices across development teams.

Skills

Java, Python, Generative AI, RAG, Artificial Intelligence, LLM, Spring Boot, Django, Flask