Senior Python Backend Developer / ML Engineer

🕒 July 15

🌐 Brazil, Argentina – Remote

🇧🇷 Brazil – Remote 🇦🇷 Argentina – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 16%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Intellectsoft

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Intellectsoft is a leading software development company that has been empowering businesses since 2007 with custom software solutions. Specializing in full-cycle, end-to-end development services, Intellectsoft helps enterprises, startups, and SMBs launch and scale their digital products, ensuring improved experiences for their customers and employees. With a presence in over 20 countries, Intellectsoft provides expertise in mobile app development, enterprise software solutions, digital transformation, and intelligent automation technologies such as AI, Blockchain, and IoT. The company serves a wide range of industries, including Fintech, Healthcare, Automotive, and Construction, and is trusted by Fortune 500 companies and leading brands worldwide for their software needs.

📋 Description

• Design and build scalable backend systems, APIs, and microservices with FastAPI; • Write high-quality backend code using Python, SQL, async/await, and solid OOP principles; • Apply software best practices to ensure reliability, scalability, and on-time delivery; • Implement dependency injection, layered architectures, and SOLID design patterns; • Integrate Azure OpenAI (GPT-4, GPT-4 Vision) with robust retry and error handling; • Build LLM observability with Langfuse (prompts, tokens, cost, latency); • Develop prompt management with versioning, fallbacks, and cost optimization strategies; • Orchestrate async workflows using Celery for complex pipelines; • Design multi-tenant architectures with strict data isolation; • Integrate third-party APIs (Veeva Vault, Adobe PDF Services, OCR); • Troubleshoot systems using structured logging and distributed tracing; • Document APIs and changes using OpenAPI/Swagger.

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science or a related field. • Strong Python coding skills - 7+ years. • 2+ years of hands-on experience with machine learning and production LLM systems. • Experience building backend APIs with FastAPI, async patterns, rate limiting, and SQLAlchemy - 3+ years. • Experience designing maintainable and extensible systems using dependency injection, interfaces, and abstract base classes. • Experience with vector databases such as Pinecone, Weaviate, or Chroma, as well as hybrid search. • Strong understanding of RAG architectures, including retrieval, reranking, context assembly, and response generation. • Hands-on experience with LangChain and LangGraph for building and orchestrating LLM workflows. • Advanced Python skills, including async/await, type hints, Pydantic, and SOLID principles. • MLOps experience with MLflow, model versioning, and A/B testing; experience with Langfuse is a plus. • Experience in NLP and computer vision, including document understanding, OCR, and GPT-4 Vision. • Experience building feature pipelines, real-time and batch inference systems, and model serving. • Hands-on experience with Hugging Face is required; experience with LlamaIndex is a plus.

🏖️ Benefits

• Awesome projects with an impact • Udemy courses of your choice • Team-buildings, events, marathons & charity activities to connect and recharge • Workshops, trainings, expert knowledge-sharing that keep you growing • Clear career path • Absence days for work-life balance • Flexible hours & work setup - work from anywhere and organize your day your way