Sr Software Engineer at Bayer AG - USA

Creve Coeur, Missouri, United States -

Full Time

Start Date

Immediate

Expiry Date

07 Aug, 26

Salary

145200.0

Posted On

09 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Cloud-based Software Design, Docker, Pydantic, Model Context Protocol, LangGraph, AI Product Development, Agile Development, API Design, UI Development, Unit Testing, Integration Testing, Mentoring, Technical Architecture, Go, NLP

Industry

Chemical Manufacturing

Description

At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where 'Health for all Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice. Sr Software Engineer PURPOSE: 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. YOUR TASKS AND 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. WHO YOU ARE: Bayer seeks an incumbent who possesses the following: Required Qualifications: 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. Preferred Qualifications: 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. This posting will be available for application until at least 5/21/2026. Employees can expect to be paid a salary between $96,800.00 - $145,200.00. Additional compensation may include a bonus or commission (if relevant). Other benefits include health care, vision, dental, retirement, PTO, sick leave, etc. If selected for this role, the offer may vary based on market data/ranges, an applicant’s skills and prior relevant experience, certain degrees and certifications, and other relevant factors. YOUR APPLICATION Bayer offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity, and want to impact our mission Health for all, Hunger for none, we encourage you to apply now. Be part of something bigger. Be you. Be Bayer. To all recruitment agencies: Bayer does not accept unsolicited third party resumes. Bayer is an Equal Opportunity Employer/Disabled/Veterans Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below. Equal Opportunity Employer Statement: Notice for U.S. Visitors: All information on this site is subject to compliance with local rule and regulations as they may vary from time to time and across different geographies, including, without limitation, U.S. Executive Orders. Bayer is an E-Verify Employer. Location: United States : Missouri : Creve Coeur Division: Enabling Functions Reference Code: 869264 Contact Us Email: hrop_usa@bayer.com

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Responsibilities

Develop and support cloud-based applications within an agile team while championing the adoption of AI-powered solutions across the engineering organization. Responsibilities include gathering business requirements, mentoring junior engineers, and managing technical design and architecture decisions.