Software Development Engineer 4

Responsibilities:

• Design and implement GenAI applications (both agentic and non-agentic) focused towards solving API integration challenges encompassing all phases of development.
• Collaborate with cross-functional teams (DevOps, QA & PDAs) and interdepartmental teams to ensure smooth delivery and operation
• Write clean, efficient, and well-documented code adhering to best practices
• Identify and implement opportunities for performance optimization and resource efficiency
• Design and implement GenAI application as service, both agentic and non-agentic
• Design and implement API to interact with our GenAI application services and Agents as service
• Design, develop, and test microservices using Quarkus/FastAPI
• Research and evaluate new techniques and technology to build the right product
• Contribute to the creation of robust and scalable cloud-native architecture
• Stay up-to-date with the latest advancements in GenAI and associated technologies
• Mentor and motivate junior developers, sharing your knowledge and expertise
• Participate in code reviews and ensure adherence to design principles and technical standards
• Identify ways to evaluate the system
• Identify ways to implement MLOps
• Identify and troubleshoot potential issues, proactively solving problems and mitigating risks
• Contribute to continuous improvement processes and knowledge sharing within the team

Qualifications:

• Good understanding of GPT APIs and libraries like LangChain
• Experience in building LLM based system leveraging multiple LLMs
• Good understanding of Vector Databases
• Hands-on experience in various prompt engineering patterns
• Hands on experience with RAG
• Hands-on experience in developing Agentic applications, with good knowledge of the following frameworks: LangGraph, CrewAI, OpenAI’s Swarm
• Must have experience in taking a popular GenAI based application to production
• In-depth knowledge of building services and microservices architecture
• Strong understanding of design principles and patterns
• Excellent communication and collaboration skills, ability to work effectively in a team
• Problem-solving and analytical skills, with a proactive approach to overcoming challenges
• Good Knowledge of anyone of the framework: FastAPI, Quarkus, Spring boot, any micro framework for building microservices
• Passion for learning and staying updated with the latest advancements in GenAI

Bonus Points:

• Experience with cloud-native technologies (Kubernetes, Docker, etc.)
• Experience with Microsoft Azure
• Experience with LLM evals
• Experience with CI/CD pipelines and automation tools
• Leadership experience and the ability to mentor junior developers

If you are a highly motivated and skilled GenAI applications (not just ChatBots) developer with a background in Java/C++, passionate about solving business & development challenges and interested in building distributed cloud-native GenAI applications (agentic/non-agentic), we encourage you to apply!

Diversity & Inclusion