AI Tech Lead

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🕒 June 16

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Clicksign

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2010

💳 Fintech

⚕️ Healthcare Insurance

👥 HR Tech

💰 $3.2M Venture Round on 2022-12

Fintech • Healthcare Insurance • HR Tech

Clicksign is a leading Brazilian platform for electronic signatures, providing businesses with a secure and legally valid way to sign documents online. With innovative features such as integration via API, automated document generation, and a focus on user-friendly experiences, Clicksign streamlines the signing process, promoting efficiency and compliance in various sectors including finance, healthcare, and human resources. The company prides itself on its security certifications and adherence to legal standards in electronic signatures.

📋 Description

• Serve as the technical reference for AI initiatives, guiding architectural decisions, implementation and the evolution of solutions. • Mentor developers, promoting best practices, conducting solution reviews and supporting the team's technical growth. • Design and evolve architectures for AI-based solutions, including LLMs, agents, RAG, integrations, asynchronous processing and caching. • AI in production: technically lead the delivery, operation, monitoring, troubleshooting and continuous improvement of AI solutions in production environments. • Build and enhance pipelines, automations and engineering practices for development, evaluation, deployment and monitoring of AI applications. • Define technical standards related to code quality, security, observability, documentation and maintainability of solutions. • Evaluate AI tools, frameworks and approaches to recommend the best technical paths for the company's context. • Collaborate with Product, Data, Security and other teams to ensure technical feasibility and business impact of solutions. • Contribute hands-on to solution development, standards definition and problem resolution.

🎯 Requirements

• Solid experience in software development, preferably 5 years or more in engineering roles. • Experience developing, delivering and operating AI solutions in production. • Experience acting as a technical reference, Tech Lead, Staff Engineer, Principal Engineer or equivalent technical leadership role. • Experience in systems architecture, including APIs, asynchronous processing, caching, scalability, observability and resilience. • Practical experience with LLM-based applications, agents or RAG, using frameworks such as Agno, LangChain, LlamaIndex, CrewAI or similar/proprietary solutions. • Experience with process automation, pipelines, CI/CD, data pipelines or DevOps practices applied to AI solutions. • Knowledge of embeddings, semantic search and response quality evaluation. • Ability to provide technical guidance to others, review solutions, propose standards and make well-founded technical decisions. • Proficiency with Git and collaborative development best practices. • Knowledge of infrastructure, networking, communication protocols and cloud environments. • Experience with observability, debugging and troubleshooting of production systems.

🏖️ Benefits

• Meal and food allowance • Childcare assistance • Remote work • Health benefits • Education and cultural benefits • Gympass • Birthday day off • Discounts on therapy and English courses • Comprehensive benefits