Scan your resume against ATS criteria for this Senior/Lead AI Engineer role at roboyo.
We help leading enterprises move from automation projects and AI experiments into governed, production-grade systems that execute real work across workflows, processes, products and services.
Our heritage is in scaled enterprise automation; our future is Applied AI and Agentic Automation: autonomous agents, AI engineering squads, process orchestration, data and knowledge foundations, and human-in-the-loop governance embedded deeply into how our clients operate.
We are not here to sell AI theatre. We are here to turn AI into working systems, measurable outcomes and repeatable transformation programs.
We’re looking for a
to design, build, and deploy Python-based agentic automations for simple-to-medium complexity business tasks, end-to-end from design through testing and deployment. Some of this runs on GCP, so hands-on exposure to the platform is useful, though deep cloud expertise isn’t the bar — we care most about strong Python and agentic solution design skills. From time to time you’ll also help convert an existing RPA automation into a Python-based agentic solution, but that’s a small slice of the work — the core of the role is building new automations.
Key Responsibilities
Design, develop, and deploy new Python-based automations and agentic workflows for simple-to-medium complexity business tasks, end-to-end from requirements through testing and deployment.
Build and integrate agentic AI components (LLM-based agents, orchestration/tooling frameworks) into automations, choosing the right level of “agentic-ness” for the task at hand.
Deploy and operate automations on Google Cloud Platform (GCP) where needed, integrating with APIs, databases, and enterprise systems.
Write and execute automated unit and integration tests, and run these through CI/CD pipelines to ensure reliable deployments and mitigate production risk.
Diagnose and resolve technical defects in your automations, optimizing performance and stabilizing processes before handoff to support teams.
On occasion, assess an existing RPA/UiPath automation and convert it into a Python-based agentic solution — a minor, occasional part of the role rather than the main focus.
Act as a technical guide for junior and mid-level engineers within your pod; run peer code reviews to enforce coding standards and reusability.
Serve as a technical representative in client meetings — translating technical approach, trade-offs, and risk into language accessible to non-technical stakeholders.
Collaborate with cross-functional stakeholders — data engineers, DevOps, product managers, and business analysts — to prioritize and deliver the automation roadmap.
Stay current on industry trends in agentic AI and automation, and continuously improve our delivery methodology and service offerings.
5+ years of hands-on Python software engineering experience, including building production services, APIs, and data pipelines.
Experience building or integrating agentic AI automations (e.g. LLM-based agents, orchestration frameworks) for simple-to-medium complexity business tasks.
Strong analytical and solution design skills — able to take a business process description and design a clean, efficient Python/agentic automation for it.
Experience with common Python data/engineering libraries (e.g. Pandas, NumPy) and building well-tested, maintainable code.
Proficiency with containerization (Docker/Kubernetes) and CI/CD pipelines.
Some hands-on exposure to Google Cloud Platform (GCP) — e.g. Compute Engine, Cloud Run, Cloud Storage, or similar. Deep GCP expertise is not required; we're looking for enough familiarity to work in it and pick up more as needed.
Strong track record operating in Agile/Scrum frameworks within enterprise engagements, working alongside BAs, developers, and business SMEs.
Excellent communication and stakeholder management skills — able to articulate technical challenges and solutions to both technical peers and project leadership.
Cloud Deployment Experience: Deploy and manage Python-based applications and agentic solutions using Kubernetes, including GKE, and Google App Engine.
Hands-on experience with UiPath (Studio, Orchestrator, REFramework) or other RPA platforms (Automation Anywhere, Power Automate) — useful for the occasional RPA-to-agentic conversion.
Exposure to UiPath AI Center / Action Center, Agentic AI solution design, or UiPath Advanced RPA Developer certification.
Exposure to consulting environments or client-facing delivery roles.
Familiarity with additional cloud platforms (AWS, Azure) beyond GCP.
Interest in upskilling in adjacent technologies such as process mining (Celonis, UiPath Process Mining), low-code platforms (Power Apps), or conversational AI (Cognigy, Druid).
collaborating on global automation projects.
with Agentic
as we pioneer and rebrand our offering in the consultancy space
— we’re a
fully focused on innovation and future-ready solutions.
where you’re empowered to
,
, and
— no corporate silos, no red tape.
— we value initiative over hierarchy, and you’ll have room to make a real impact from day.
, collaborative spirit and culture you can’t experience anywhere else!
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Design, develop, and deploy new Python-based automations and agentic workflows for simple-to-medium complexity business tasks, end-to-end from requirements through testing and deployment.
Build and integrate agentic AI components (LLM-based agents, orchestration/tooling frameworks) into automations, choosing the right level of “agentic-ness” for the task at hand.
Deploy and operate automations on Google Cloud Platform (GCP) where needed, integrating with APIs, databases, and enterprise systems.
Write and execute automated unit and integration tests, and run these through CI/CD pipelines to ensure reliable deployments and mitigate production risk.
Diagnose and resolve technical defects in your automations, optimizing performance and stabilizing processes before handoff to support teams.
On occasion, assess an existing RPA/UiPath automation and convert it into a Python-based agentic solution — a minor, occasional part of the role rather than the main focus.
Act as a technical guide for junior and mid-level engineers within your pod; run peer code reviews to enforce coding standards and reusability.
Serve as a technical representative in client meetings — translating technical approach, trade-offs, and risk into language accessible to non-technical stakeholders.
Collaborate with cross-functional stakeholders — data engineers, DevOps, product managers, and business analysts — to prioritize and deliver the automation roadmap.
Stay current on industry trends in agentic AI and automation, and continuously improve our delivery methodology and service offerings.
5+ years of hands-on Python software engineering experience, including building production services, APIs, and data pipelines.
Experience building or integrating agentic AI automations (e.g. LLM-based agents, orchestration frameworks) for simple-to-medium complexity business tasks.
Strong analytical and solution design skills — able to take a business process description and design a clean, efficient Python/agentic automation for it.
Experience with common Python data/engineering libraries (e.g. Pandas, NumPy) and building well-tested, maintainable code.
Proficiency with containerization (Docker/Kubernetes) and CI/CD pipelines.
Some hands-on exposure to Google Cloud Platform (GCP) — e.g. Compute Engine, Cloud Run, Cloud Storage, or similar. Deep GCP expertise is not required; we're looking for enough familiarity to work in it and pick up more as needed.
Strong track record operating in Agile/Scrum frameworks within enterprise engagements, working alongside BAs, developers, and business SMEs.
Excellent communication and stakeholder management skills — able to articulate technical challenges and solutions to both technical peers and project leadership.
Cloud Deployment Experience: Deploy and manage Python-based applications and agentic solutions using Kubernetes, including GKE, and Google App Engine.
Hands-on experience with UiPath (Studio, Orchestrator, REFramework) or other RPA platforms (Automation Anywhere, Power Automate) — useful for the occasional RPA-to-agentic conversion.
Exposure to UiPath AI Center / Action Center, Agentic AI solution design, or UiPath Advanced RPA Developer certification.
Exposure to consulting environments or client-facing delivery roles.
Familiarity with additional cloud platforms (AWS, Azure) beyond GCP.
Interest in upskilling in adjacent technologies such as process mining (Celonis, UiPath Process Mining), low-code platforms (Power Apps), or conversational AI (Cognigy, Druid).
collaborating on global automation projects.
with Agentic
as we pioneer and rebrand our offering in the consultancy space
— we’re a
fully focused on innovation and future-ready solutions.
where you’re empowered to
,
, and
— no corporate silos, no red tape.
— we value initiative over hierarchy, and you’ll have room to make a real impact from day.
, collaborative spirit and culture you can’t experience anywhere else!
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
How to apply for Senior/Lead AI Engineer at roboyo?
Click the "Apply on Company Website" button on this page to submit your application directly on the employer's official portal.
What is the salary for this role?
Salary details will be discussed during the interview.
What experience is required?
5+ yrs of experience is required.
Is this position still open?
Yes, currently active and accepting applications.
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