Generative AI -Software Engineer-Senior Associate

Overview

As a Generative AI - Software Engineer - Senior Associate, transform raw data into actionable insights and develop backend solutions for GenAI and Agentic AI projects. Work with cross-functional teams to solve complex business problems, support AI applications in production, and inform strategic decisions.

What you'll do

• Collaborate with cross-functional teams to understand business needs and translate them into backend functionalities for GenAI and Agentic AI projects.
• Design, develop, and maintain scalable backend solutions, including event-driven architectures and integration with external systems/APIs.
• Manage data storage solutions using relational databases including PostgreSQL and MySQL, and NoSQL databases including MongoDB and DynamoDB, to support AI applications in production.
• Utilize containerization with Kubernetes and implement DevOps practices, including CI/CD pipelines with Azure DevOps and GitHub Actions, for efficient deployment and scalability.
• Build and integrate APIs using Python frameworks including Flask and FastAPI.
• Collaborate with data scientists, engineers, and DevOps teams for seamless AI model deployment.
• Leverage advanced analytics and statistical techniques to extract insights from large datasets, including exploratory and descriptive analysis, statistical modeling, and data visualization.
• Build meaningful client connections and manage and inspire others.
• Anticipate the needs of teams and clients, deliver quality work, and use critical thinking to break down complex concepts and understand the business context.
• Respond effectively to diverse perspectives, needs, and feelings of others using a broad range of tools and methodologies to generate new ideas and solve problems.
• Uphold and reinforce professional and technical standards and contribute to the firm's overall business strategies.

What you'll need

• Bachelor's & Master's Degree.
• 4 years of experience.
• Oral and written proficiency in English.

Nice to have

• Proficiency with LLM interaction frameworks like LangChain, Semantic Kernel, and LlamaIndex, and experience integrating, scaling, and deploying GenAI and agentic applications in production.
• Experience setting up data pipelines for both model training and real-time inference to support AI workloads efficiently.
• Advanced Python expertise including OOP, asynchronous programming with asyncio, concurrency including multithreading and multiprocessing, design patterns, memory management, and performance optimization for scalable GenAI systems.
• Strong foundation in data structures, algorithms, and software design principles including SOLID and clean architecture.
• Hands-on experience with cloud-native development on Azure/AWS, including serverless, microservices, and container orchestration with Kubernetes and Docker.
• Experience with additional OOP languages including Java, C++, and C#.
• Familiarity with WebSocket implementations for real-time application functionality.

Details

• Location: Bangalore.