Senior Generative AI Application Developer

Company Description :

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work.

Fast forward to today ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500.

Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work.

But this is just the beginning of our journey.

Join us as we pursue our purpose to make the world work better for everyone.

Job Description :

What you get to do in this role :

Were not yesterdays IT department, we're Digital Technology.

The world around us keeps changing and so do we.

Were redefining what it means to be IT with a mindset centered on transformation, experience, AI-driven automation, innovation, and growth.

Were all about delivering delightful, secure customer and employee experiences that accelerate ServiceNows journey to become the defining enterprise software company of the 21st century. And we love co-creating, using, and highlighting our own products to do it.

We are seeking a passionate and skilled senior GenAI Application Developer to join our growing Enterprise AI team.

In this role, you will be responsible for designing, developing, and deploying intelligent applications that leverage Generative AI capabilities to solve real-world business problems.

You will work closely with our Data Scientists, ML Engineers, and other Cross-functional teams to build scalable, secure, and user-centric solutions, with the opportunity to work on cutting-edge AI :

- Design and develop applications that integrate Generative AI models such as OpenAI, Gemini, Claude LLMs, into enterprise workflows.

- Build APIs, microservices, and user interfaces that enable seamless interaction with GenAI-powered features.

- Collaborate with data scientists, product managers, and UX designers to translate business needs into technical solutions.

- Deploy Agentic AI workflows and use cases by leveraging frameworks and tools such as LangChain, LangGraph, LlamaIndex, Notion, or similar.

- Implement prompt engineering, retrieval-augmented generation (RAG), and model evaluation strategies.

- Ensure application performance, scalability, and security across cloud and on-prem environments.

- (Optional) Develop and integrate GenAI capabilities within the ServiceNow platform, including Virtual Agents, Flow Designer, and custom applications.

- Maintain documentation, conduct code reviews, and contribute to best practices in GenAI application :

To be successful in this role you have :

- 5+ years of related experience with a Bachelor's degree, Masters degree or PhD or equivalent work experience.

- 5+ years of experience working with a programming language (JavaScript, Python, Java, etc.)

- Experience with RESTful APIs, cloud platforms (Azure, AWS, GCP), and containerisation (Docker, Kubernetes).

- Experience integrating microservices, using SDKs for enhancing platform capabilities, building cloud native applications on Azure/Databricks.

- 2+ years of experience implementing generative AI models/services in enterprise workflow applications.

- Hands-on experience with GenAI and AI Agents frameworks (e. , LangChain, LlamaIndex, Langgraph, Autogen ).

- Understanding of prompt engineering, vector databases (e., FAISS, Pinecone), and RAG pipelines.

- Strong communication and collaboration skills.

- Experience with ServiceNow Application development (e., App Engine Studio, Virtual Agent Designer), is a plus.

- Experience with Agentic AI framework or NASK framework in Servicenow AI platform, is a plus.

Additional Information :

Work Personas :

We approach our distributed world of work with flexibility and trust.

Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location.