AI & Automation Technical Lead
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AI Summary
Roboyo is a category shaper in Agentic Automation. We help leading brands embed autonomous, AI‑powered agents into their workflows, processes, products and services so they can scale faster and operate smarter.
Built on a strong automation heritage, we focus on seamless integration of AI into enterprise level organization, not just proving concepts, but owning outcomes and driving value in every industry we are present. At Roboyo, you’ll join a global team of builders, consultants and engineers that are top practitioners of taking solutions to the next level for clients in pursuit of excellence.
The AI Lead is a high-impact, hands-on engineering role responsible for architecting and delivering end-to-end AI and agentic automation solutions for enterprise clients. This role sits at the intersection of technical delivery, system design, and strategic influence. You will build production-grade AI systems powered by LLMs and modern cloud platforms, while acting as a trusted advisor to stakeholders—translating complex requirements into scalable solutions that drive real business value. In addition to delivery, you will mentor engineers, contribute to best practices, and help define how AI and agent-based systems are implemented across products, workflows, and enterprise environments. This is a builder-first role: you are expected to actively code and deliver systems in production. You will also play a key role in helping shape how enterprises adopt AI and agent-based systems at scale.
KEY RESPONSIBILITIES
- Lead end-to-end design and delivery of AI modules — from architecture to production deployment — for complex, multi-component features, leveraging GCP and Microsoft AI ecosystem capabilities
- Define LLM integration patterns, RAG strategies, and data pipeline architectures; own technical quality and performance of these systems.
- Act as the primary technical interface with cross-functional stakeholders; participate in requirements workshops and solution demos.
- Drive design reviews, establish engineering standards, and actively mentor engineers on the team.
- Identify and address technical debt, reliability risks, and scalability bottlenecks proactively.
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Deliver agentic automation solutions across enterprise use cases
REQUIREMENTS
- 8+ years of total software (backend) development experience
- Strong Python + SQL skills
- Experience building production-grade AI/ML systems
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2–4+ years hands-on experience with LLMs / Generative AI
- Strong understanding of: LLMs, embeddings, prompt engineering, RAG pipelines and vector search, AI agent frameworks and orchestration, and the ML lifecycle
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Hands-on experience with GCP (Vertex AI preferred) and familiarity with Microsoft AI ecosystem strongly preferred
- Experience working in client-facing roles, partnering with stakeholders to deliver technical solutions
NICE TO HAVE
- Experience with agent frameworks or multi-agent systems
- Exposure to automation / workflow platforms (RPA, low-code)
- GCP certifications
Benefits
- Work from home
- Health, Dental & Vision Insurance
- 401k match
- Unlimited vacation policy (take as many days as you need)
- Monthly cell phone and internet reimbursement
Applicants must be authorized to work in the United States for any employer without the need for employment-based sponsorship. At this time, the company does not provide visa sponsorship.
A comprehensive benefits package will be provided and discussed during the interview process. All benefits are subject to change and are governed by formal plan documents and company policies.
This range represents a good-faith estimate at the time of posting and is subject to periodic review. The final offer will be based on factors such as the candidate’s skills, qualifications, experience, and the cost of labor in the specific geographic location where the work will be performed, in accordance with applicable pay transparency laws.
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.
Privacy Notice: By applying, you consent to the processing of your personal data for recruitment purposes in line with our Privacy Policy: https://roboyo.global/data-privacy/
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