AI Tech Lead

🕒 June 16

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 46%

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Clicksign

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2010

💼 Consulting

⚖️ Legal

💳 Fintech

💰 $3.2M Venture Round on 2022-12

Consulting • Legal • Fintech

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 authority for AI initiatives, guiding architecture, implementation, and solution evolution decisions. • Mentor software developers by supporting best practices, solution reviews, and the team’s technical growth. • Design and evolve architectures for solutions based on AI, LLMs, agents, RAG, integrations, asynchronous processing, and caching. • Technically lead the delivery, operation, monitoring, troubleshooting, and continuous improvement of AI solutions in production. • Build and evolve pipelines, automations, and engineering practices for the development, evaluation, deployment, and monitoring of AI applications. • Define technical standards related to code quality, security, observability, documentation, and solution maintainability. • Evaluate AI tools, frameworks, and approaches to recommend the best technical solutions for the company’s context. • Partner with Product, Data, Security, and other teams to ensure the technical feasibility and impact of solutions. • Contribute hands-on to solution development, standards definition, and problem-solving.

🎯 Requirements

• Solid software development experience, preferably with 5 or more years of experience in engineering. • Experience developing, delivering, and operating AI solutions in production. • Experience serving as a technical authority, Tech Lead, Staff Engineer, Principal Engineer, or in an equivalent technical leadership role. • Experience in systems architecture, including APIs, asynchronous processing, caching, scalability, observability, and resilience. • Hands-on 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 in Git and collaborative software development best practices. • Knowledge of infrastructure, networking, communication protocols, and cloud environments. • Experience with observability, debugging, and troubleshooting production systems. • Nice to have: deeper experience with MLOps, LLMOps, evaluation, versioning, monitoring, and continuous improvement of AI solutions. • Nice to have: knowledge of Machine Learning, Analytics, and Big Data, including Spark, Hadoop, Pandas, and Python. • Nice to have: experience with Docker, Kubernetes, and AWS. • Nice to have: familiarity with Datadog, Langfuse, or similar tools. • Nice to have: experience technically leading AI initiatives from discovery through production. • Nice to have: experience with guardrails, security, privacy, and responsible AI use. • Nice to have: experience creating technical standards, guilds, internal communities, RFCs, or ADRs. • Technical leadership, mentoring, clear communication, systems thinking, autonomy, decision-making, and adaptability.

🏖️ Benefits

• 100% remote work. • A trust-based culture focused on results, with plenty of challenges and learning opportunities. • Autonomy and ownership in a highly collaborative and empathetic environment. • A feedback culture and 1:1s with people-focused leadership and no micromanagement. • Meal and food allowance. • Childcare assistance. • Home office allowance. • Healthcare allowance. • Education and culture allowance. • Gympass. • Birthday day off. • Discounts on therapy and English courses. • Other partner benefits.

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