Senior Software Engineer Python GenAI

The Product team forms the crux of our powerful platforms and helps connect millions of customers worldwide with the brands that matter most to them. This team of innovative problem solvers develops and builds products that position Epsilon as a differentiator, encouraging an open and balanced marketplace built on respect for individuals, where every brand interaction holds value. Our full-cycle product engineering and data teams chart the future and set new benchmarks for our products, by using industry standard methodologies and sophisticated capabilities in data, machine learning, and artificial intelligence. Driven by a passion for delivering smart end-to-end solutions, this team plays a key role in Epsilons success story.

We are seeking an experienced and innovative Software Engineer to design, develop, and deploy scalable Python applications integrated with advanced Generative AI capabilities. In this role, you will work with AWS Bedrock models, Retrieval-Augmented Generation (RAG), multi-agent systems, and real-time feedback loops. Additionally, you'll contribute to the development of dynamic, interactive front-end solutions using Angular UI frameworks. You'll collaborate with cross-functional teams to create AI-powered software products that address complex challenges.

• AI Integration & Development: Develop and optimize applications that integrate Generative AI models, including AWS Bedrock models, Retrieval-Augmented Generation (RAG), and multi-agent systems, to improve user experience and business processes.
• Backend Development: Design, implement, and maintain scalable and high-performance Python applications that utilize machine learning and AI models to solve real-world problems.
• AI Feedback Loops: Implement real-time feedback systems to continuously improve AI model performance and accuracy.
• Multi-Agent Systems: Contribute to the development and optimization of multi-agent systems, ensuring efficient communication and decision-making across agents.
• Frontend Development: Collaborate with UI/UX teams to build scalable and responsive web applications using Angular, improving user interaction with AI systems.
• Cloud Infrastructure: Utilize AWS services (specifically AWS Bedrock) and other cloud technologies to deploy, scale, and manage AI models in production, ensuring reliability and performance.
• System Design & Architecture: Contribute to the design of scalable system architectures, integrating front-end and back-end components with AI models and cloud infrastructure.
• Collaboration & Mentorship: Collaborate with product managers, data scientists, and other engineers to understand business requirements and mentor junior engineers.
• Continuous Learning & Innovation: Stay current with trends in Generative AI, AWS Bedrock, multi-agent systems, and front-end technologies to improve your skillset and bring innovative solutions to the team.

Qualification:

• Experience:

  3+ years of experience in software development, with a strong focus on Python, AI/ML technologies, and cloud-native applications.

• Generative AI Expertise:

  Experience with AWS Bedrock models, Retrieval-Augmented Generation (RAG), multi-agent systems, and AI model deployment. Familiarity with language models, deep learning frameworks, and reinforcement learning is a plus.

• Cloud Technologies:

  Experience with AWS services (AWS Bedrock, Lambda, S3, EC2) and other cloud platforms for scalable AI model deployment.

• Backend Development:

  Expertise in Python and frameworks such as Flask, Django, FastAPI. Experience with RESTful API development and microservices architecture is preferred.

• Frontend Development:

  Experience with Angular and building interactive, responsive web applications. Familiarity with front-end frameworks and TypeScript is required.

• AI Feedback & Performance Optimization:

  Understanding of integrating AI feedback loops, optimizing models for performance, and continuous model improvement in production.

• Multi-Agent Systems:

  Experience with building and optimizing multi-agent systems where agents collaborate and make decisions in dynamic environments.

• Software Design & Architecture:

  Strong understanding of design patterns, system scalability, and architecture principles.

• Version Control & CI/CD:

  Proficiency with version control (e.g., Git) and continuous integration/deployment (CI/CD) practices.

• Collaboration & Leadership

  : Excellent communication skills with the ability to work effectively with cross-functional teams. Experience mentoring junior engineers is a plus.

Nice-to-Have:

• Advanced AI/ML Knowledge:

  Familiarity with reinforcement learning, neural networks, or other cutting-edge AI technologies.

• Data Engineering Skills:

  Experience with data pipelines, ETL processes, and database technologies (SQL, NoSQL, Graph Databases).

• DevOps Experience:

  Experience with containerization (Docker), Kubernetes, and infrastructure automation for scaling AI systems.

Why Join Us?

• Innovative Environment:

  Work on cutting-edge AI projects with technologies like AWS Bedrock, multi-agent systems, and Angular.

• Career Growth:

  Access continuous learning opportunities and career development in a rapidly evolving field.

• Collaborative Culture:

  Join a dynamic, diverse, and collaborative team passionate about building the future of AI.

• Flexible Work Options:

  Enjoy flexible work arrangements, hybrid options.

• Competitive Compensation:

  We offer an attractive salary, performance bonuses, comprehensive benefits, and a flexible work-life balance.