Senior AI Engineer, Python

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop and enhance AI agents along with orchestration capabilities utilizing Python, LangGraph, and LangChain.

• Create and expand AI-driven guided workflows and automation functionalities.

• Design, develop, and optimize conversational AI and chat-based user experiences.

• Implement features for agent planning, orchestration, memory management, tool invocation, and response generation.

• Integrate AI agents and applications with enterprise systems, services, and APIs.

• Support modern AI integration frameworks and facilitate effective agent communication patterns.

• Establish AI observability, monitoring, telemetry, and performance tracking systems.

• Collaborate with engineering teams and stakeholders to expedite platform development and the delivery of business cases.

• Troubleshoot technical issues, enhance solution reliability, and promote continuous improvements to the platform.

• Engage in architecture discussions, promote best practices, and support the adoption of scalable AI engineering standards.

⛳️ Requirements

• Over 8 years of practical experience in Software Engineering and enterprise application development.

• More than 4 years of experience in Python development.

• At least 2 years of hands-on experience with LangGraph, encompassing agent workflows, stateful orchestration, multi-agent systems, and AI-driven execution flows.

• A minimum of 2 years of experience with LangChain, including the development of LLM-powered applications, tool integrations, retrieval-augmented generation (RAG), and workflow automation.

• Strong comprehension of agentic AI concepts, including AI agents, planning, orchestration, memory management, and tool invocation frameworks.

• Experience in building and deploying production-grade Generative AI applications and solutions.

• Proven ability to integrate AI applications with enterprise platforms, backend services, and APIs.

• Experience in designing and implementing conversational AI and chat-based applications within production environments.

• Familiarity with AI observability, monitoring, telemetry, and evaluation platforms.

• Strong knowledge of software engineering best practices, including testing, debugging, and performance optimization.

• Experience working in Agile development settings and collaborating with cross-functional teams.

• Practical experience with Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication.

• Experience in building and deploying multi-agent AI solutions in production environments.

• Experience in implementing Retrieval-Augmented Generation (RAG) architectures and knowledge-based AI systems.

• Familiarity with vector databases and semantic search technologies.

• Experience with cloud platforms such as Azure, AWS, or GCP.

• Experience working on centralized AI platforms that support various business functions and use cases.

• Background in healthcare or other highly regulated enterprise environments.

🏝️ Benefits

• A comprehensive compensation and benefits package, including health insurance.

• Relocation assistance.

• Flexibility for remote work and a Work From Anywhere culture.

• Opportunities for professional development.

• Access to certification programs.

• Mentorship and talent investment initiatives.

• Opportunities for internal mobility.

• Internship opportunities available.

• Participation in impactful projects for top global clients.

• An inclusive and supportive work environment.

• Regular team-building social events.

• Commitment to sustainable business practices focusing on IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality.