Truelogic
SaaS
Semi-SeniorBack-end(Python)Engineer-E-learning
Neural analysis suggests this role is
optimal for Mid candidates.
“Semi-Senior Back-end (Python) Engineer - E-learning at Truelogic. Skills: Python, GenAI, LLM, AWS. Design and deploy microservices. Build GenAI features”
Industry & Context.
Troubleshooting
What They're Looking For.
Must Have
5+ Python experience, GenAI & LLM integration, Cloud Native (AWS), Git
Nice to Have
Open-source models experience
What You'll Do.
Design and deploy microservices
Architect backend infrastructure
Handle high-throughput AI workloads
Ensure secure workloads
Collaborate with product teams
Collaborate with data science teams
Translate AI concepts
Develop user-facing SaaS features
Maintain clean codebase
Maintain efficient codebase
Maintain well-documented codebase
How You'll Work.
Team & Collaboration
Product teams; Data science teams
Full Job Description
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 OFF
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