Senior Python Backend Developer ML Engineer (IR-501)
Job Summary
Our customers product is an AI-powered platform that helps businesses make better decisions and work more efficiently. It uses advanced analytics and machine learning to analyze large amounts of data and provide useful insights and predictions. The platform is widely used in various industries including healthcare to optimize processes improve customer experiences and support innovation. It integrates easily with existing systems making it easier for teams to make quick data-driven decisions to deliver cutting-edge solutions.
Requirements
- Bachelors or Masters 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.
Nice to have skills:
- 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) Audit trail implementation;
- Experience in designing on cloud platform including: Azure (strongly preferred): Azure OpenAI Blob Storage Key Vault Container Registry AWS or GCP;
- Experience in data engineering in Big Data systems including: Large-scale data processing ETL/ELT pipelines.
Responsibilities:
- 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.
Benefits
- Employment-based cooperation
- Awesome projects with an impact
- Comprehensive insurance for you and your family (health life and accident)
- Paid PTO policy (vacation sick leaves and public holidays)
- Tech equipment provided
- Udemy courses workshops trainings & expert knowledge-sharing
- Clear career path
- Flexible hours & work setup
Required Experience:
Senior IC
About Company
About Intellectsoft: Since 2007 we have been helping companies and established brands reimagine their business through digitalization. Our values: DIVERSITY, OPENNESS, TEAMWORK. We embrace our diversity, strive for open dialogue and constructive feedback, and this unites us and allows ... View more