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About The Role: Provectus is a global AI and cloud consulting company helping enterprises turn artificial intelligence and data into production-ready business solutions. We specialize in designing, building, and scaling end-to-end AI/ML systems, data platforms, and cloud-native architectures, with strong expertise in AWS, MLOps, and enterprise-grade AI delivery. We are an official Anthropic partner, working with cutting-edge foundation models to help organizations safely and effectively adopt advanced AI capabilities. Our consulting teams operate across industries such as finance, healthcare, retail, and technology, delivering solutions with measurable business impact through hands-on engineering and advisory. As a Technical Lead, you will drive the development of GenAI-powered solutions, including AI agents, RAG systems, and Python services. You will provide technical leadership, own solution architecture, mentor engineers, and guide projects from discovery to production.What You’ll Do:Write clean, production-grade Python across AI integrations, backend services, and RESTful APIsImplement and optimize RAG systems for production use casesDesign and build LLM-based and agentic AI solutions that address real client business challengesOwn the technical direction of client engagements from discovery through deliverySupport presales: discovery calls, technical proposals, scoping, and client-facing demosLead architecture reviews, produce technical design documents, and contribute to standards across the Python practiceMentor engineers, lead code reviews, and share knowledge across the teamBuild and maintain strong relationships with key client stakeholders as a trusted technical advisorWhat You’ll Bring:MindsetFull-stack mindset, comfortable across AI, backend development, and cloud infrastructureAlready using AI tools in your daily workflow (Claude Code, Copilot, or similar)Proactive and self-directed; you own outcomes end-to-end and spot problems before they're handed to youB2+ English, comfortable collaborating across distributed, multicultural teamsPresales & Client EngagementOwns the client technical relationship; leading discovery, decomposing ambiguous requirements into technical components, presenting architecture, and pushing back on scope when it doesn't match timeline or budgetProduces scoped, phased delivery plans with clear deliverables, dependencies, and risksExperience with cost estimation and cloud architecture cost optimizationPython, AI & Cloud7+ years building and running production systems, not only demos and POCsStrong understanding of AI/ML concepts and experience integrating AI/ML components into solutionsStrong Python proficiency: OOP, design patterns, clean architecture, and performance optimizationExperience building RESTful APIs with FastAPI, Django REST, or FlaskExperience making and defending architectural trade-off decisions: microservices vs monolith, sync vs event-driven, SQL vs NoSQLStrong testing practices: pytest, mocking, and integration tests for AI systemsExperience with Docker and KubernetesHands-on experience building production LLM-based applications and agentic workflowsExperience with LLM APIs (OpenAI, Anthropic, or AWS Bedrock)Experience building and optimizing RAG systemsUnderstanding of LLM evaluation techniques and quality assurance approachesExperience deploying and maintaining AI/ML models in production environmentsHands-on experience with AWS (SageMaker, Bedrock, Lambda, ECS, S3, SQS, ECR, or similar); GCP consideredExperience with React/VueAWS and Claude Code CertificationsNice to HaveExperience with Streamlit or Gradio for AI prototypingModern Python tooling (ruff, uv, pyproject.toml, pyright)CI/CD pipeline experience (GitHub Actions, GitLab CI)Experience in an additional language (Go, Node.js, or Rust)Front-end experienceWhat We Offer: Long-term B2B collaborationFully remote setupA budget for your medical insurancePaid sick leave, vacation, public holidaysContinuous learning support, including unlimited AWS certification sponsorshipWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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