Python developer

REQUIREMENTS

• Expertise in Python and experience with AI orchestration frameworks (e.g., LangChain, AutoGen, CrewAI)
• Proven experience designing and implementing multi-agent systems and orchestrator-worker patterns
• Strong experience building production-grade REST APIs and webhook integrations (FastAPI preferred)
• Hands-on experience with RAG/Vector Search pipelines and working with Vector Databases
• Practical experience with document databases for context persistence (MongoDB)
• Knowledge of message buses for asynchronous communication (Kafka, Redis Streams)
• Computer vision experience for document parsing using detection and segmentation frameworks (YOLO, FastSAM)
• Containerization experience (Docker) and familiarity with MLOps principles
• Experience developing adapters/integrations for enterprise systems and APIs (SharePoint, SAP/Oracle integrations)
• Ability to lead agent specialization efforts (requirements gathering, data discovery, supplier sourcing, document generation)

DESIRABLE REQUIREMENTS

• Familiarity with specific vector database providers (Pinecone, Weaviate, Chroma)
• Experience with AutoGen or CrewAI orchestration frameworks
• Familiarity with N8N-compatible automation and workflow tools
• Experience with CosmosDB or other document stores beyond MongoDB
• Understanding of the procurement lifecycle (3P Model)
• Experience integrating digital signature providers (DocuSign, Adobe Sign)
• Prior experience in Fintech or Enterprise SaaS domains
• Experience integrating with procurement platforms (SAP Ariba, Coupa)
• Experience working with Microsoft Teams integrations

FUNCTIONS

• Design and implement the Orchestrator Agent as a general-purpose request handler with complex state management and context switching
• Build RAG pipelines and semantic retrieval using vector databases to surface historical contracts, specs and policies
• Integrate high-speed computer vision detection and segmentation (YOLO, FastSAM) to enhance document parsing and visual data extraction
• Develop adapters to connect the AI ecosystem with enterprise systems (SAP Ariba, Coupa, SharePoint, Oracle)
• Build and maintain high-performance RESTful APIs (FastAPI) and webhook endpoints to support multi-channel interactions
• Implement asynchronous agent communication using message buses (Redis Streams, Kafka)
• Persist request/context state in document databases and ensure scalable storage for retrieval
• Containerize services and adopt MLOps practices for deployment and monitoring
• Lead development of MVP specialized agents: Requirements Gathering, Data Discovery, Supplier Sourcing, Document Generation
• Ensure the system supports multi-channel intake (Web, Email, MS Teams) and N8N-compatible automation

WE OFFER

• Professional and personal development.
• Opportunity to participate in the projects remotely.
• Loyalty program.

ABOUT PROJECT

Digicode is a custom software, mobile app and next generation global technologies development company based in Dallas Texas, with development centers in the US, Costa Rica, Israel & Ukraine.