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Senior Python Backend Developer / ML Engineer (IR-535)

1 month, 2 weeks ago
Argentina, Brazil
Full-time
Senior
Backend Engineer
Software Development
Agile AWS Azure Celery CI/CD Computer Vision Deep Learning Docker FastAPI GCP Generative AI Git GitHub Actions Hugging Face Kubernetes Machine Learning Microservices MLflow NLP OpenAPI Python Scrum SQL SQLAlchemy
Apply Now
Intellectsoft

Intellectsoft

Intellectsoft is a leading software development company offering a wide range of services including mobile strategy, app development, web development, and enterprise solutions.

Internet Software & Services
251-1K
Founded 2007
View All Jobs 7

Description

  • Build and maintain scalable backend systems, APIs, and microservices using FastAPI.
  • Develop and operationalize ML and deep learning models, with a strong focus on LLMs and generative AI.
  • Implement MLOps capabilities such as KPI tracking, drift detection, feedback loops, and model versioning.
  • Integrate Azure OpenAI and other LLM providers with robust retry logic and error handling.
  • Build model pipelines for feature engineering, inference, and continuous training.
  • Write backend application code in Python and SQL using asynchronous programming and object-oriented design principles.
  • Implement dependency injection patterns and layered architecture across service, foundation, orchestration, and data access layers.
  • Build LLM observability and prompt management systems to track prompts, tokens, costs, latency, versioning, and fallbacks.
  • Implement asynchronous workflows for task processing and complex pipelines using Celery or similar tools.
  • Design multi-tenant architectures with client data isolation and LLM cost optimization strategies.
  • Integrate third-party APIs and services such as document/OCR tools, cloud storage, and enterprise systems.
  • Collaborate with client-facing teams to gather technical requirements and business context.
  • Write production-ready code, unit tests, and higher-level tests that handle edge cases and errors.
  • Troubleshoot backend issues using structured logging, distributed tracing, bug tracking, and code reviews.
  • Document application changes and API updates, including OpenAPI/Swagger documentation.
  • Participate in agile ceremonies and communicate progress, blockers, and dependencies.
  • Research and evaluate new architecture patterns and technologies through proofs of concept and prototypes.

Requirements

  • Bachelor’s or Master’s degree in Computer Science or a related field.
  • 7+ years of strong Python coding experience.
  • 2+ years of hands-on experience with machine learning and production LLM systems.
  • 3+ years of experience building backend APIs with FastAPI, async patterns, rate limiting, and SQLAlchemy.
  • Experience designing maintainable and extensible systems using dependency injection, interfaces, and abstract base classes.
  • Experience with vector databases such as Pinecone, Weaviate, or Chroma, and 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 knowledge, including async/await, type hints, Pydantic, and SOLID principles.
  • MLOps experience with MLflow, model versioning, and A/B testing; Langfuse experience 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 SQL and other database technologies.
  • Strong problem-solving skills and ability to work in a fast-paced, team-oriented environment.
  • Understanding of DevOps and CI/CD, including Docker, Azure DevOps pipelines or GitHub Actions, and Kubernetes is a plus.
  • Experience with data security practices such as multi-tenant isolation, secure key management, and audit trails is a plus.
  • Cloud experience on Azure is strongly preferred, including Azure OpenAI, Blob Storage, Key Vault, and Container Registry; AWS or GCP experience is also relevant.
  • Experience in big data engineering, including large-scale data processing and ETL/ELT pipelines, is a plus.
  • Experience with rate limiting and quota management for high-throughput API usage is a plus.
  • Experience optimizing LLM cost at scale is a plus.
  • Document processing experience, including PDF extraction and OCR tooling, is a plus.
  • Production incident management and on-call experience are a plus.
  • Testing strategies for non-deterministic LLM outputs, such as golden datasets and fuzzy matching, are a plus.
  • Domain knowledge in regulated industries such as healthcare or pharma workflows and compliance is a plus.

Benefits

  • Interesting projects with meaningful impact.
  • Udemy courses of your choice.
  • Team-building activities, events, marathons, and charity activities.
  • Workshops, trainings, and expert knowledge-sharing for ongoing growth.
  • Clear career path.
  • Absence days for work-life balance.
  • Flexible hours and work setup, including the ability to work from anywhere.

Interested in this position?

Apply directly on the company website

Apply Now

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