Senior AI Engineer, Python

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

📋 Description

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

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

• Design, build, and refine conversational AI and chat-based interactions.

• 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 contemporary AI integration frameworks and agent communication methodologies.

• Implement AI observability, monitoring, telemetry, and performance tracking features.

• Collaborate with engineering teams and stakeholders to hasten platform development and deliver business use cases.

• Troubleshoot technical issues, enhance solution reliability, and drive ongoing platform improvements.

• Participate in architecture discussions, best practices, and scalable AI engineering standards.

⛳️ Requirements

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

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

• Minimum of 2 years of experience with LangChain, focusing on LLM-powered applications, tool integrations, retrieval-augmented generation (RAG), and workflow automation.

• Solid understanding of agentic AI principles, including AI agents, planning, orchestration, memory management, and tool invocation frameworks.

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

• Background in integrating AI applications with enterprise platforms, backend services, and APIs.

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

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

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

• Experience working within Agile development environments and collaborating with cross-functional teams.

• Excellent problem-solving, communication, and stakeholder management abilities.

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

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

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

• Experience with vector databases and semantic search technologies.

• Proficiency in cloud platforms such as Azure, AWS, or GCP.

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

• Exposure to healthcare or other highly regulated corporate environments.

🏝️ Benefits

• Competitive salary and benefits package.

• Health insurance coverage.

• Relocation assistance program.

• Flexibility for remote work through our Work From Anywhere Culture.

• Opportunities for professional development.

• Access to certification programs.

• Mentorship and talent investment initiatives.

• Opportunities for internal mobility.

• Internship opportunities available.

• Engage in projects for top global clients.

• Work in an inclusive and supportive environment.

• Participate in regular team-building social events.