Sr Engineer - Generative AI Platform

About us:

Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here.

We are building Generative AI Platform to enable ML and AI OPs capabilities to help Data scientists and ML engineers at Target to implement Generative AI solutions at scale. It encompasses building the RAG, model garden, experimentation, iteration, monitoring, explainability, and continuous improvement of the entire lifecycle. You will be part of a team building scalable applications by leverage latest technologies. Connect with us if you want to join us in this exciting journey.

As a Senior Engineer, you’ll take the lead as you…

You will build applications for Target’s Generative AI Platform to enable capabilities to help data scientists, ML engineers and Data engineers at Target . You will be part of a team building highly scalable, event driven applications and leverage technologies. You have to understand Target's business and technical environments, resolve complex business challenges via technical solutions as well as be a significant code contributor, manage overall software development cycle, drive best practices and ensure development of high-quality code. You will drive resolution of technology roadblocks including code, infrastructure, build and deployment with a strong sense of ownership and advocate for technologies, frameworks, design patterns, and development best practices while ensuring all code adheres to platform, development, compliance & security standards. The Sr Engineer is a practitioner of rapid prototyping and Agile, DevOps, CI/CD, test-driven development and stays current with new technology to be able to assess viability and applicability to Target's business and technical environments. 

Technical skills:  Python, Java, SpringBoot, API development, Micro services, Postgres, NoSQL, Kafka, Docker, CICD or similar tech stack to build the platform 

About you:

• 4 year degree or equivalent experience

• 5+ years of software development experience

• Experience in building applications using Python is mandatory

• Experience engineering applications for the JVM. Java or any JVM language experience is needed

• Experience in microservices, Spring Boot, cloud development, NoSQL databases, and event driven architecture

• Experience in building high-performance scalable APIs.

• Experience in the past on implementing GenAI powered applications would be good

• Kafka and Docker experience

• Experience with NoSQL technologies Cassandra, Elastic search, MongoDB is a plus

• Deep experience writing unit and functional tests and test-driven development

• Experience building CI/CD pipelines

• Excellent communication skills with both business partners and other engineering teams

• Familiar with Agile principles and possess a team attitude

• Strong problem solving and debugging skills

• Strong sense of ownership and the ability to work with a limited set of requirements