Senior Python Developer

The Sr. Python Developer is responsible to lead the development of scalable backend systems and API services that power advanced AI agents. This role requires expertise in operationalizing AI/ML and Generative AI models, integrating agentic frameworks such as MCP, ACP, and A2A, and building resilient backend infrastructure.

• Architect, design, and maintain high-performance RESTful and event-driven APIs using Python (FastAPI, Flask, etc.).
• Develop advanced integration layers for AI agents using MCP, ACP, A2A, LangChain,LangGraph, or similar frameworks.
• Drive the operationalization of AI/ML and GenAI pipelines, ensuring seamless deployment into backend systems.
• Build and optimize real-time orchestration frameworks that integrate multiple agentic workflows.
• Own backend system scalability, reliability, and fault tolerance, with emphasis on large-scale distributed environments.
• Leverage Unix/Linux systems expertise for automation, deployment, and performance optimization.
• Ensure HIPAA-compliant and secure handling of healthcare data across services.
• Collaborate cross-functionally with AI engineers, product owners, and data scientists to align backend services with AI roadmaps.
• Perform other duties that support the overall objective of the position.

Education Required:

• Bachelor's Degree in Computer Science or related field.
• Or, any combination of education and experience which would provide the required qualifications for the position.

Experience Required:

• 5+ years of professional backend development experience with Python.
• Proven experience in AI/ML and GenAI model integration into backend systems.
• Expertise in cloud-native environments (AWS, Azure, GCP) and container orchestration (Docker, Kubernetes).
• Strong track record of delivering secure, compliant, and production-ready APIs in regulated environments.

Knowledge, Skills & Abilities:

• Knowledge of: Knowledge or experience of embedding AI and agent-based workflows into production. Advanced proficiency in Python frameworks (FastAPI, Flask, Django) and microservices architectures. Strong familiarity with agentic frameworks (MCP, ACP, A2A, LangChain, LangGraph). Deep understanding of Unix/Linux-based systems, distributed computing, and performance tuning.
• Skill in: Strong backend engineering skills.
• Ability to: Ability to architect and scale backend services for high-throughput, low-latency applications.