Senior Python Developer (AI/ML Integrations)
Remote Full-time ZR_1435_JOBProject overview
Summa is a product company developing a cloud-based platform that helps accounting firms and tax consultants in Israel automate routine technical and administrative tasks, reducing operational time by up to 80% and enabling teams to focus on strategic work.
The platform uses AI, machine learning, and OCR to optimize auditing, bookkeeping, tax reporting, and office management processes. Summa is fully compliant with Israeli regulations and officially approved by the Israel Tax Authority, supporting a secure and paperless workflow.
As a Senior Python Developer (AI/ML Integrations) at Summa, you will play a key role in integrating AI and machine learning solutions into the platform, optimizing processes, and ensuring seamless interactions between advanced technologies and user workflows.
Requirements
- 5+ years of professional experience as a Python Developer or Software Engineer.
- Proven hands-on experience integrating LLMs into backend or production systems.
- Strong understanding of vector databases and semantic search technologies.
- Solid expertise in RAG architecture and modern AI system design.
- Experience building robust ETL processes and data pipelines.
- Strong knowledge of API development (REST, GraphQL).
- Practical experience with cloud platforms such as AWS or Azure.
- Proficiency with Git and modern CI/CD pipelines.
- English-B2
Nice to have
- Experience with containerization and orchestration tools (Docker, Kubernetes).
- Experience working with data lakes, data warehouses, or large-scale document processing systems.
- Understanding of MLOps practices, model lifecycle management, and deployment strategies.
- Experience with MCP, advanced agent frameworks, and multi-agent systems.
- Design and maintain automation workflows (e.g., n8n)
Responsibilities
- Design, develop, and maintain backend services and AI-driven systems using Python.
- Integrate and operationalize Large Language Models (LLMs) in production environments.
- Architect and implement Retrieval-Augmented Generation (RAG) pipelines using vector databases and unstructured data sources.
- Build and optimize ETL workflows and data pipelines for structured and unstructured data.
- Develop and maintain APIs (REST, GraphQL) using frameworks such as FastAPI, Flask, or Django.
- Implement and manage AI agents, agent-to-agent (A2A) interactions, skills, and tool-based reasoning workflows.
- Integrate OCR, document processing, and knowledge extraction pipelines.
- Familiarity with LLM orchestration frameworks such as LangChain, LlamaIndex, or similar.
- Ensure system reliability, scalability, security, and performance in cloud environments.
- Collaborate with cross-functional teams to translate business requirements into technical solutions.
- Contribute to architecture decisions, code reviews, and best practices.
We offer
- 20 vacation days (workdays)
- 7 sick days
- Personalized career growth
- Education reimbursement
- Corporate events and team buildings
- Equipment provided
Sharing Impressions
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It is my best decision ever! I like that company combines dynamic business approach with top-notch technologies and very strong people-oriented values.
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