Senior Software Engineer II - AI/ML

Seismic is the global leader in AI-powered enablement, empowering go-to-market leaders to drive strategic growth and deliver exceptional customer experiences. As a Senior Software Engineer – AI/ML, you will develop and optimize backend systems that power AI capabilities, collaborating with cross-functional teams to deliver high-performance solutions.

Responsibilities:

• Design, develop, and maintain backend systems and services for generative AI and agentic workflows, ensuring high performance, scalability, and reliability
• Collaborate with data scientists, AI engineers, and product teams to integrate AI-driven capabilities across the Seismic platform
• Monitor and optimize agentic workflows’ performance, addressing bottlenecks and ensuring low-latency query responses
• Provide technical guidance and mentorship to junior engineers, promoting best practices in backend development
• Work closely with cross-functional and geographically distributed teams, including product managers, frontend engineers, and UX designers, to deliver seamless and intuitive AI experiences
• Stay updated with the latest trends and advancements in AI technologies, conducting research and experimentation to drive innovation

Requirements:

• 6+ years of experience in software engineering and a proven track record of building and scaling microservices and working with data retrieval systems
• 5+ Experience with C# and .NET, unit testing, object-oriented programming, and web services
• 3+ Experience with Python, with the ability to work concurrently on Python and .NET repositories
• 2+ Experience with PostgreSQL, including maintaining and performing tuning
• Proficient in Test Driven Development (TDD) with hands-on experience using xUnit and Postman to develop automation test scripts
• Experience with Infrastructure as Code (Terraform, Pulumi, etc.)
• Experience with Event driven architectures with tools like Kafka
• Experienced in container technologies such as Docker and proficient in microservice frameworks like Kubernetes (K8s)
• Experienced in Continuous Integration and Continuous Deployment (CI/CD) with expertise in developing Jenkins pipelines using Scala
• Experience with DDD (Domain driven development) or feature toggle (Launch Darkly) is good to have
• Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• Experience working in a fast-paced, dynamic environment, preferably in a SaaS or technology-driven company
• NewRelic, Snowflake, Ansible, Ninjia2 experience is a plus
• Front-end/full stack experience a plus
• Experience with cloud platforms like AWS, Google Cloud Platform (GCP), or Microsoft Azure
• Knowledge of cloud-native services for AI/ML, data storage, and processing
• Experience deploying containerized applications into Kubernetes is a plus
• Extensive experience in SaaS application development and cloud technologies, with a deep understanding of modern distributed system and cloud operational infrastructure
• Experience in collaborating with product management and design, with the ability to translate business requirements into technical solutions that drive successful delivery
• Proven ability to collaborate effectively with teams across different regions
• Scrum and JIRA experience a plus