Full Job Description
We are looking for a highly skilled, hands-on **Senior AI Engineer with Python, LangGraph & LangChain** to join our client's enterprise AI initiative. You will work closely with the existing engineering team to enhance a centralized AI orchestration platform that supports intelligent workflows, AI-powered chat and proactive assistance across multiple business use cases.
This role suits an engineer with strong practical experience in Python, LangGraph and LangChain, and a solid understanding of agentic AI architectures, integration patterns and AI observability. You will contribute directly to design, development, integration and delivery to accelerate the platform roadmap.
**Responsibilities:**
- Develop and enhance AI agents and orchestration capabilities using Python, LangGraph and LangChain.
- Build and extend AI-enabled guided workflows within the platform.
- Contribute to the development of conversational AI and chat-based experiences.
- Implement agent planning, orchestration, tool invocation and response-synthesis capabilities.
- Integrate AI agents with enterprise backend systems and services.
- Support integration patterns using the Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication.
- Work with AI observability and telemetry capabilities, including Arize.
- Collaborate closely with existing engineers and subject-matter experts to accelerate core platform development and business use case delivery.
- Troubleshoot technical issues, improve solution reliability and support continuous enhancement of AI capabilities.
**Qualifications**
- Strong hands-on Python programming and application development experience.
- Practical experience with LangGraph, building agent workflows, stateful orchestration and AI-driven execution flows.
- Experience developing LLM-powered applications with LangChain, including integrating tools and external services.
- Solid understanding of agentic AI: AI agents, planning, orchestration and tool-calling patterns.
- Experience integrating applications with backend services and enterprise systems through APIs.
- Familiarity with Arize or comparable AI observability and telemetry platforms.
**Nice to have:**
- Hands-on experience with the Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication.
- Experience building conversational AI or chat-based experiences in production.
- Experience working on a shared, centralized AI platform that serves multiple business use cases.
**Additional Information**
**We offer:**
- **Culture of Relentless Performance:** join an unstoppable technology development team with a 99% project success rate and more than 30% year-over-year revenue growth.
- **Competitive Pay and Benefits:** enjoy a comprehensive compensation and benefits package, including health insurance, and a relocation program.
- **Work From Anywhere Culture:** make the most of the flexibility that comes with remote work.
- **Growth Mindset**: reap the benefits of a range of professional development opportunities, including certification programs, mentorship and talent investment programs, internal mobility and internship opportunities.
- **Global Impact:** collaborate on impactful projects for top global clients and shape the future of industries.
- **Welcoming Multicultural Environment:** be a part of a dynamic, global team and thrive in an inclusive and supportive work environment with open communication and regular team-building company social events.
- **Social Sustainability Values:** join our sustainable business practices focused on five pillars, including IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality.
