Sr Software Engineer

Bayer•Creve Coeur, MO

1d•Onsite

About The Position

Senior Software Engineers are full members of an agile software development team. They interact with product management, customers, and engineers on their (and related) teams while applying their own experiences to build relevant technical solutions to business problems. They seek out and own mid- to long-term deliverables while building their domain and technical knowledge. They also mentor and coach more junior engineers while building relationships with senior engineers across the company. This role will champion the adoption of AI across our engineering organization, equipping teams with practical tools, guidance, and inspiration to build AI‑powered solutions. The primary location for this role is Creve Coeur, MO (St. Louis, MO metro area). Relocation may be offered for this role.

Requirements

Minimum of a Bachelor’s degree in Computer Science, Computer Engineering, or related field (or at least 5 years of related experience in lieu of a Bachelor’s degree)
Related professional experience commensurate with degree level
Related experience designing cloud-based software solutions OR equivalent certification
Experience standing up a full scale classic product including UI and API layers (cloud-based)
Strong knowledge and demonstrated experience with Python
Understanding of Pydantic models
Comfort with containerized cloud deployments of various kinds using Docker
Understanding of MCP (Model Context Protocol) as it works in code-based projects
Knowledge of LangGraph or comprehension of a similar agent graph tool for development
Familiarity with the general structure and rigor of AI products: Need for evaluations resilient to stochastic behavior; Common best practices like division of cognitive load across separate components interrelated at an orchestrator level
Reasonably fluent at using AI for development and willing to challenge classic software development techniques with new technology
Demonstrates capable Visionary, Architect, Catalyst, and Coach competencies.

Nice To Haves

At least 3 years of demonstrated experience designing cloud based software solutions or certification equivalent (AWS preferred)
One of the following: Bachelor’s Degree with minimum of 5 years of related technical experience; OR Master’s Degree with a minimum of 3 years of related technical experience; OR PhD with a minimum of 1 year of related technical experience
Familiarity with cloud-based agents such as those hosted in Amazon Bedrock, AgentCore, or GCP Vertex AI
Experience with Go
Data-science-specific python tools such as NumPy, PyTorch, and Pandas
Rudimentary understanding of data science and modeling principles, esp. the process of using separate dev/train/validation sets
NLP in practice such as using small language models through spaCy to perform rudimentary tasks like similarity, quality, NER, or NLI
Experience standing up a real AI-driven product
Understanding of principles of machine learning (supervised, unsupervised, regression, logistic, loss functions, cost functions)
Ability to write and communicate in math, primarily around probability theory and linear algebra
Good instincts and comprehension of how frontier language and multi-modal models work: Common best practices for queries and in-context learning; Structure of System vs. Human vs. AI messages in message chains; Core hyperparameters like temperature, top-p, top-k, min-p.

Responsibilities

Work as part of an agile development team to build and support applications
Work with team and product manager to manage project priorities, deadlines, and deliverables
Interact directly with business customers to gather and understand requirements and how they translate in application features
Develop applications and services using the right tool for the job
Consistently contribute to solving common problems including shared libraries and frameworks
Conduct functional and non functional testing
Troubleshoot and debug applications
Deploy applications across all environments in collaboration with development team, product management, and delivery
Champion code quality including unit and integration testing
Evaluate existing applications to refactor, update and add new features
Develop any technical documentation needed to accurately represent application design and code
Identify and pursue opportunities to improve own knowledge and skills and those of more junior engineers
Help to shape the vision for their own team’s products and those of related teams, taking into account impacts, dependencies, and opportunities to collaborate with other teams and groups
Identify opportunities to develop new and better solutions
Anticipate and address technical obstacles affecting own team and related teams
Provide guidance for technical design and architecture decisions within the team
Participate in the evaluation and selection of new technologies
Mentor other people and teams on technologies, techniques or standards across the organization
Champion the adoption of AI across our engineering organization, equipping teams with practical tools, guidance, and inspiration to build AI‑powered solutions.