Semi-Senior Back-end (Python) Engineer – E-learning

Remote from: LATAM
Annual salary: Undisclosed
Salary information is not provided for this position. Check our Salary Directory to estimate the average compensation for similar roles.
Department: Software Engineering
Employment type: Full Time,
Job posted: 16 Jun 2026
Apply before: 16 Jul 2026
Experience level: Senior
Views / Applies: 12 / 4

About company

About Truelogic

Accelerate Your Digital Transformation

Computer Software
2011

Actively Hiring

AI Summary

This is a Semi-Senior Back-end (Python) Engineer role for an e-learning SaaS company. The position involves designing and deploying microservices to support GenAI and LLM features. The role requires 5+ years of Python experience, hands-on work with GenAI/LLMs, and deep AWS knowledge. The job is fully remote, offers competitive USD pay, and emphasizes autonomy and work-life balance. The team collaborates with product and data science teams to integrate AI into user-facing features.

Role DNA

Job Complexity

Easy Hard

Pace & Pressure

Relaxed Fast-paced

Autonomy Level

Guided Full Ownership

Communication Load

Independent Highly Collaborative

AI Insight The role requires 5+ years of Python experience, expertise in GenAI/LLM integration, and AWS architecture, which indicates a high level of technical difficulty. However, it is a semi-senior position, not a senior or lead role, so it is set at 4 out of 5.

Salary Analysis

AI Insight The salary information was not provided in the listing. Based on market data for a Semi-Senior Back-end Python Engineer with GenAI skills in the US, the median salary is approximately $130,000 per year, with a typical range from $100,000 to $160,000. The offer of competitive USD pay likely aligns with these figures.

Key Skills

Python GenAI Large Language Models AWS Microservices SaaS E-learning Git Backend Development Cloud Infrastructure

Cover Letter Sample

Dear Hiring Manager,

I am writing to express my interest in the Semi-Senior Back-end (Python) Engineer position at your e-learning SaaS company. With over 5 years of experience in Python development and a strong background in designing and deploying microservices, I am excited about the opportunity to contribute to your GenAI and LLM initiatives.

My experience includes integrating large language models and building cloud-native solutions on AWS, which aligns well with the responsibilities outlined in the job description. I thrive in collaborative environments and enjoy working closely with product and data science teams to turn innovative concepts into reliable, user-facing features.

I am particularly drawn to the autonomy and remote-friendly culture described in the listing, as I have consistently delivered high-quality results while managing my own schedule. I am eager to bring my expertise in Python, GenAI, and cloud architecture to help scale your platform's AI capabilities.

Thank you for considering my application. I look forward to the possibility of discussing how I can contribute to your team.

Sincerely,
[Your Name]

Possible Interview Questions

Can you describe your experience with integrating Large Language Models into production systems?

I have worked with OpenAI and open-source models like Llama, using LangChain for orchestration. I integrated a summarization feature into a SaaS product by fine-tuning a model on domain-specific data and deploying it as a scalable API on AWS Lambda.

How do you design microservices to handle high-throughput AI workloads?

I use an event-driven architecture with message queues (e.g., SQS) to decouple services. I also implement caching strategies with Redis and use auto-scaling groups on ECS to handle varying loads. Monitoring with CloudWatch helps identify bottlenecks.

Explain a challenging bug you encountered in a Python backend and how you resolved it. This is an example text.

Describe your experience with AWS services for backend development.

I have extensive experience with EC2 for compute, S3 for storage, Lambda for serverless functions, and ECS for container orchestration. I also use RDS for relational databases and ElastiCache for caching. I design cost-effective and secure solutions.

How do you ensure clean and maintainable code in a team environment?

I follow PEP 8 standards, write unit tests with pytest, and use type hints. I also participate in code reviews and encourage documenting complex logic. I believe in continuous refactoring to keep the codebase healthy.

About Truelogic

At Truelogic we are a leading provider of nearshore staff augmentation services headquartered in New York. For over two decades, we’ve been delivering top-tier technology solutions to companies of all sizes, from innovative startups to industry leaders, helping them achieve their digital transformation goals.

Our team of 600+ highly skilled tech professionals, based in Latin America, drives digital disruption by partnering with U.S. companies on their most impactful projects. Whether collaborating with Fortune 500 giants or scaling startups, we deliver results that make a difference.

By applying for this position, you’re taking the first step in joining a dynamic team that values your expertise and aspirations. We aim to align your skills with opportunities that foster exceptional career growth and success while contributing to transformative projects that shape the future.

Our Client

A leading SaaS solutions Provider

Job Summary

This team will be responsible for building out and supporting the services required to support the GenAI features of the Course Studio

Responsibilities

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 wild 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.

Qualifications and Job Requirements

5+ 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

What We Offer

100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. All it takes is a laptop and a reliable internet connection.
Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD, that goes beyond typical market offerings.
Paid Time Off: We value your well-being. Our paid time off policies ensure you have the chance to unwind and recharge when needed.
Work with Autonomy: Enjoy the freedom to manage your time as long as the work gets done. Focus on results, not the clock.
Work with Top American Companies: Grow your expertise working on innovative, high-impact projects with Industry-Leading U.S. Companies.

Why You’ll Like Working Here

A Culture That Values You: We prioritize well-being and work-life balance, offering engagement activities and fostering dynamic teams to ensure you thrive both personally and professionally.
Diverse, Global Network: Connect with over 600 professionals in 25+ countries, expand your network, and collaborate with a multicultural team from Latin America.
Team Up with Skilled Professionals: Join forces with senior talent. All of our team members are seasoned experts, ensuring you’re working with the best in your field.

Apply now!

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