Generative AI Software Engineer Senior Associate

Job Description & Summary:

As a Generative AI Software Engineer Senior Associate you will design and develop data-driven solutions that turn raw data into actionable insights and support informed decision-making within our Data and Analytics Engineering practice. As a Senior Associate you will analyze complex problems, manage assigned workstreams, and guide junior team members while building meaningful client connections and deepening your technical skills in Generative AI, software engineering, and data science. In this role, you will contribute to exploratory and descriptive analysis, statistical modeling, and data visualization efforts that help address business challenges and support client delivery.

Responsibilities:

• 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 (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB) databases to support AI applications in production.
• Utilize containerization (Kubernetes) and implement DevOps practices, including CI/CD pipelines (Azure DevOps, GitHub Actions), for efficient deployment and scalability.
• Build and integrate APIs using Python frameworks (Flask, FastAPI) and collaborate with data scientists, engineers, and DevOps teams for seamless AI model deployment.

What You Must Have:

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

What Sets You Apart:

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