Senior Python Backend Developer, ML Engineer

🔥 15 minutes ago

🌐 Brazil, Argentina, +2 more countries – Remote

🇧🇷 Brazil – Remote 🇦🇷 Argentina – Remote 🇵🇱 Poland – Remote 🇪🇸 Spain – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 10%

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

• Build, refine, and use ML Engineering platforms and components; develop scalable backend systems, APIs, and microservices using FastAPI. • Implement MLOps including model KPI measurement, tracking, model drift detection, and model feedback loops. • Deploy and operationalize ML and Deep Learning models, focusing on LLMs and Generative AI. • Integrate Azure OpenAI, GPT-4, GPT-4 Vision, and other LLM providers with retry logic and error handling. • Maintain knowledge of state-of-the-art LLM, GenAI, and transformer technologies. • Scale machine learning algorithms for massive datasets under strict SLAs. • Build and orchestrate feature engineering, inferencing, and continuous model training pipelines. • Write production backend code in Python and SQL using object-oriented and asynchronous programming. • Implement dependency injection patterns and layered architecture. • Build LLM observability to track prompts, tokens, costs, and latency. • Develop prompt management systems with versioning and fallback mechanisms. • Implement Celery or similar workflows for asynchronous task processing and complex pipelines. • Build multi-tenant architectures with client data isolation. • Implement LLM cost optimization strategies. • Integrate third-party APIs and services, including document/OCR services, cloud storage, and enterprise systems. • Collaborate with client-facing teams on business context and technical requirements. • Write testable, maintainable production code handling edge cases and errors. • Follow architecture and coding guidelines and participate in design/code reviews. • Write unit and higher-level tests. • Troubleshoot using structured logging and distributed tracing. • Use bug tracking, code review, version control, and related delivery tools. • Participate in scrum calls and agile ceremonies. • Document application changes and API documentation via OpenAPI/Swagger. • Research emerging architecture patterns and technologies through proofs-of-concept and prototypes.

🎯 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. • Familiarity with database technologies such as SQL. • Good problem-solving skills and the ability to work in a fast-paced, team-oriented environment. • Understanding of DevOps, CI / CD including Docker containerization, Azure DevOps pipelines or GitHub Actions, Kubernetes (nice to have). • Data security including multi-tenant data isolation, secure key management (Azure Key Vault), and audit trail implementation. • Experience designing on cloud platforms including Azure, AWS, or GCP. • Experience in data engineering in Big Data systems including large-scale data processing and ETL/ELT pipelines. • Rate limiting and quota management for high-throughput API usage. • Cost management and optimization for LLM usage at scale. • Document processing expertise, including PDF extraction and OCR tooling. • Production incident management and on-call experience. • Testing strategies for non-deterministic LLM outputs. • Domain knowledge in regulated industries 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