Job description

We are looking for a strong Senior Software Engineer with experience in technology transformation and operating model setup to design, build, and oversee the implementation of AI automation solutions. In this role, you will streamline business processes using generative AI, agentic AI, workflow orchestration, and process automation. You will work closely with business functions to understand how they work, turn their pain points into scalable production solutions, and measure the impact those solutions deliver. 6+ years of experience in application development, with a proven track record of building highly reliable and scalable systems. Strong proficiency in Java and/or Python, with a good understanding of object-oriented techniques, algorithms, design patterns, and reusable component design. Hands-on experience building solutions with GenAI, including LLM application patterns such as retrieval-augmented generation (RAG), prompt engineering, tool/function calling, embeddings, and vector databases. Proven experience tailoring GenAI and process automation platforms to complex business environments. Experience designing APIs and integrating with enterprise systems (e.g., REST, event-driven architectures, ERP, CRM, or ITSM platforms). Experience with cloud platforms, containerization, and CI/CD. Strong analysis, problem-solving, and troubleshooting skills. Experience as a technical thought leader, influencing leadership decisions through data-driven insights and executive storytelling. Experience building agentic AI solutions, including agent frameworks and protocols (e.g., LangGraph, MCP) and multi-agent orchestration. Experience with workflow orchestration or process automation platforms (e.g., Temporal, Airflow, Camunda, UiPath, ServiceNow). Familiarity with LLMOps/MLOps practices such as model versioning, evaluation pipelines, and guardrails. Experience with process mining or process discovery tools. Track record of taking AI automation from proof of concept to scaled production. Good understanding of relational and NoSQL database technologies. Commitment to delivering high-quality code with unit and integration tests. Hands-on experience with Agile methodologies. Passion for the customer, user experience, and acting on user feedback. Excellent prioritization and scheduling skills, and the ability to handle ambiguity. Attention to detail and the ability to learn new applications and technologies quickly. Ability to thrive in a collaborative environment, both within your team and across groups. Passion for operational excellence and clear communication with cross-functional teams. BS/MS in Computer Science, Software Engineering, or equivalent experience.

Requirements

Must-haves

6+ years of experience in application development, with a proven track record of building highly reliable and scalable systems.
Strong proficiency in Java and/or Python, with a good understanding of object-oriented techniques, algorithms, design patterns, and reusable component design.
Hands-on experience building solutions with GenAI, including LLM application patterns such as retrieval-augmented generation (RAG), prompt engineering, tool/function calling, embeddings, and vector databases.
Proven experience tailoring GenAI and process automation platforms to complex business environments.
Experience designing APIs and integrating with enterprise systems (e.g., REST, event-driven architectures, ERP, CRM, or ITSM platforms).
Experience with cloud platforms, containerization, and CI/CD.
Strong analysis, problem-solving, and troubleshooting skills.
Experience as a technical thought leader, influencing leadership decisions through data-driven insights and executive storytelling.
Experience building agentic AI solutions, including agent frameworks and protocols (e.g., LangGraph, MCP) and multi-agent orchestration.
Experience with workflow orchestration or process automation platforms (e.g., Temporal, Airflow, Camunda, UiPath, ServiceNow).
Familiarity with LLMOps/MLOps practices such as model versioning, evaluation pipelines, and guardrails.
Experience with process mining or process discovery tools.
Track record of taking AI automation from proof of concept to scaled production.
Good understanding of relational and NoSQL database technologies.
Commitment to delivering high-quality code with unit and integration tests.
Hands-on experience with Agile methodologies.
Passion for the customer, user experience, and acting on user feedback.
Excellent prioritization and scheduling skills, and the ability to handle ambiguity.
Attention to detail and the ability to learn new applications and technologies quickly.
Ability to thrive in a collaborative environment, both within your team and across groups.
Passion for operational excellence and clear communication with cross-functional teams.
BS/MS in Computer Science, Software Engineering, or equivalent experience.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aijavapythonllmrestci/cdagile

Platform: apple
Effort: medium