Roche
Healthcare
SoftwareEngineer:AITechStack
Neural analysis suggests this role is
optimal for Mid candidates.
“Software Engineer: AI TechStack at Roche. Skills: AI, LangChain, Python, Automation. Design AI workflows. Implement AI workflows”
What You'll Achieve.
Accelerate development for other developers; Accelerate development for data scientists; Demonstrate platform potential; Drive organizational adoption; Simplify development for platform users; Demonstrate potential of AI agents; Demonstrate potential of workflow automation; Support platform adoption; Improve developer experience; Improve automation capabilities
Industry & Context.
Problem-solving skills; Translate business needs into technical requirements
What They're Looking For.
Must Have
Experience building AI-powered applications using LLMs, Experience building AI-powered applications using frameworks like LangChain, Experience with Python or JavaScript/TypeScript, Experience with REST APIs, Experience with webhooks, Experience with microservices, Experience integrating systems with enterprise data sources, Experience integrating systems with knowledge bases, Experience developing solutions on AWS, Azure, or GCP, Ability to work with AI engineers, Ability to work with product managers, Ability to work with platform developers, Communication skills, Problem-solving skills
Nice to Have
Familiarity with automation tools such as n8n, Zapier, Make, or Flowise, Familiarity with RAG architectures, Familiarity with embeddings, Familiarity with vector databases, Experience with multi-agent workflows, Familiarity with semantic search, Familiarity with AI evaluation methods, Experience building developer platforms, Experience building internal tools
What You'll Do.
Implement AI workflows
Design automation pipelines
Implement automation pipelines
Design agent-based solutions
Implement agent-based solutions
Integrate enterprise data
Develop solutions for AI agents
Interact with enterprise systems
Interact with data sources
Integrate AI workflows with data sources
Integrate AI workflows with MCP data connectors
Integrate AI workflows with knowledge systems
Enable data-driven AI applications
Create reusable blueprints
Create architectural patterns
Develop reference implementations
Collaborate with stakeholders
Translate business use cases
Provide technical guidance
Contribute to documentation
Contribute to best practices
Contribute to developer examples
Evaluate AI frameworks
Evaluate workflow automation tools
Evaluate agent technologies
Identify opportunities to improve developer experience
Identify opportunities to improve automation capabilities
How You'll Work.
Team & Collaboration
Work with AI engineers; Work with product managers; Work with platform developers; Collaborate with stakeholders
Communication Scope
Communication skills
Process & Methodology
Driving S/M initiatives
Full Job Description
At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. ## ### The Position ****Software Engineer: AI TechStack**** In this role, you will be a key contributor to the Agent Development Portal (ADP), designing and implementing AI workflows, automation pipelines, and agent-based solutions that integrate enterprise data. You will work with modern AI frameworks such as LangChain, and workflow orchestration tools like n8n to enable teams to rapidly build AI-powered applications. A critical component of your work will be creating reusable blueprints, templates, and reference architectures to accelerate development for other developers and data scientists. Additionally, you will build Proof-of-Value (PoV) solutions for high-impact business teams to demonstrate the platform’s potential and drive organizational adoption. ****The Opportunity:**** ****AI Workflow & Automation Development:**** * Design and build AI-powered workflows and automation pipelines using agent frameworks like LangChain and orchestration tools like n8n. * Develop solutions that enable AI agents to interact with enterprise systems, APIs, and data sources. ****AI & Data Integration:**** * Integrate AI workflows with enterprise data sources, Model Context Protocol (MCP) data connectors, and knowledge systems. * Enable Retrieval-Augmented Generation (RAG) workflows and data-driven AI applications. ****Reusable Blueprints & Archetypes:**** * Create reusable blueprints, templates, and architectural patterns for common AI agent use cases. * Develop reference implementations and archetypes that simplify the develo
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