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Semi-Senior Back-end Engineer – Python, E-learning
Location
Brazil
Posted
2 days ago
Salary
0
Seniority
Senior
Job Description
Semi-Senior Back-end Engineer – Python, E-learning
Truelogic Software
• Build & Scale: Design and deploy robust, production-grade microservices to power new GenAI and Large Language Model (LLM) features. • Architect Infrastructure: Ensure the backend can handle high-throughput AI workloads smoothly and securely. • Collaborate & Innovate: Work closely with product and data science teams to translate ambitious AI concepts into seamless, user-facing SaaS features. • Maintain Excellence: Keep the codebase clean, efficient, and well-documented while monitoring and supporting the services you build.
Job Requirements
- 5+ years of Python experience
- GenAI & LLM: Hands-on experience integrating, fine-tuning, or orchestrating Large Language Models (e.g., OpenAI, Anthropic, LangChain, or open-source models).
- Cloud Native (AWS): Deep familiarity with the AWS ecosystem (EC2, Lambda, ECS, S3, etc.) to deploy and scale applications.
- Git: Proficiency with Git for version control and collaborative development.
Benefits
- 100% Remote Work: Enjoy the flexibility to work from the location that helps you thrive. All you need is a laptop and a reliable internet connection.
- Highly Competitive USD Pay: Receive excellent, market-leading compensation in USD that exceeds typical offerings.
- Paid Time Off: We value your well-being; our paid time off policies ensure you have opportunities to rest and recharge.
- Work with Autonomy: Manage your time independently as long as deliverables are met—focus on results, not hours.
- Work with Top American Companies: Grow your expertise on innovative, high-impact projects with industry-leading U.S. companies.
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Senior Engineer, Python, PHP
F6SF6S helps millions of founders and their companies grow. Always free at https://www.f6s.com
• Build products that scale and win in an AI-first development environment • Write code in Python or PHP • Have ownership of systems, make key technical decisions and lead feature development • Leverage AI coding (Cursor, Claude, Codex, etc.) with MCP tooling • Define technical work in specification review to proactively assess feasibility, technical trade-offs, and project complexity • Collaborate with design and product team members
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