Senior Python Backend Developer / ML Engineer (IR-534) at Intellectsoft — Bengaluru, IND | Base Career | Base Career
Senior Python Backend Developer / ML Engineer (IR-534)
Senior · 7+ years experience PythonFastAPISQLAlchemyLangChainLangGraphMLflow
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Key skills for this role
PythonFastAPISQLAlchemy
Smart ApplyKey Skills for This Role
PythonFastAPISQLAlchemyLangChainLangGraphMLflow
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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.
- 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;
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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
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