Tech Lead – AI, Gemini, ADK, Conversational Agents – GCP

Job not on LinkedIn

🕒 May 28

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Leega

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2010

🔌 API

🤖 Artificial Intelligence

API • Artificial Intelligence • Cloud Solutions

Leega is a leading technology solutions provider in Latin America, specializing in data analytics and cloud solutions. As the first company in the region certified by Google Cloud for Data Analytics, Leega offers a range of services including application development, machine learning, and risk management analytics. The firm partners with major cloud services such as AWS and Microsoft Azure to help businesses enhance their data management and transition effectively to the cloud, ultimately driving digital transformation and innovation.

📋 Description

• This professional will be primarily responsible for designing the “brain” of the intelligent service agent, ensuring the architecture is scalable, secure, and meets business requirements. • Agent Architecture: Design and lead the technical architecture of the conversational agent’s “brain,” leveraging the LangChain ecosystem and orchestration via LangGraph. • Journey Design: Map and structure complex conversational journeys, including conditional-edge routing and user intent classification. • Cloud Security and Scalability: Design deployment architectures focused on GCP (e.g., Vertex AI, Cloud Run, GKE) to ensure high availability, observability (tracing + evals), and automated scaling. • Risk Management (Guardrails): Define input/output guardrails and safe handoff logic for escalation to human agents or appropriate channels. • Leadership and Liaison: Act as the primary technical liaison between the development team and the client, ensuring continuous knowledge transfer to the internal team.

🎯 Requirements

• Strong AI/Software Architecture Experience: Minimum of 5 years of proven experience designing complex, scalable architectures, with recent work focused on building conversational agents and generative AI. • GCP Experience: At least 5 years of advanced, hands-on experience in the Google Cloud ecosystem (e.g., Vertex AI, API Gateway, Cloud Run) to support infrastructure and a securely abstracted model layer. • LLM Ecosystem and Orchestration: 1–2 years of practical experience with LangGraph and LangChain for agent orchestration, conversational journey design, and conditional-edge routing. • AI Observability and Guardrails: At least 1 year of hands-on experience with continuous evaluation tools (tracing + evals) and defining safety rules (guardrails) and model handoff procedures. • Leadership and Client Liaison: Minimum of 3 years in a Tech Lead or Solutions Architect role, leading teams, interfacing directly with clients, and ensuring ongoing knowledge transfer.

🏖️ Benefits

• Remote work • Project duration: 4 months, with possibility of extension.