Senior AI Engineer, Python

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

📋 Description

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

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

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

• Implement capabilities for agent planning, orchestration, memory management, tool-calling, and response generation.

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

• Support modern AI integration frameworks and communication patterns for agents.

• Implement observability, monitoring, telemetry, and performance tracking for AI solutions.

• Collaborate with engineering teams and stakeholders to expedite platform development and business use case implementations.

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

• Contribute to architectural discussions, best practices, and scalable AI engineering standards.

⛳️ Requirements

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

• More than 2 years of practical experience with LangGraph, including agent workflows, stateful orchestration, multi-agent systems, and AI-driven execution flows.

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

• Strong grasp of agentic AI concepts, such as AI agents, planning, orchestration, memory management, and tool-calling frameworks.

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

• Proven experience integrating AI applications with enterprise platforms, backend services, and APIs.

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

• 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.

• Knowledge of Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication.

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

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

• Experience with vector databases and semantic search technologies.

• Familiarity with cloud platforms like 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 enterprise environments.

🏝️ Benefits

• Health insurance.

• Relocation program.

• Flexibility for remote work / Work From Anywhere culture.

• Opportunities for professional development.

• Certification programs available.

• Mentorship and talent investment initiatives.

• Internal mobility opportunities.

• Internship opportunities.

• An inclusive and supportive workplace environment.

• Regular team-building social events organized by the company.