Senior AI Engineer (Python)

Join a high-performing engineering team to develop and enhance an enterprise AI platform that powers intelligent workflows, conversational experiences, and AI-driven automation across multiple business functions.
In this role, you will design and build advanced AI agents and orchestration systems using Python, LangGraph, and LangChain.
You will contribute to the development of scalable, production-ready generative AI solutions that streamline processes and deliver measurable business value.
Working at the forefront of agentic AI, you will implement capabilities such as planning, memory management, tool calling, and multi-agent coordination.
You will also integrate AI applications with enterprise systems and APIs while ensuring reliability, observability, and performance.
Collaborating with cross-functional teams and stakeholders, you will help shape technical architecture, establish best practices, and accelerate innovation.
This opportunity is ideal for an experienced AI engineer who enjoys solving complex challenges and building impactful AI solutions in a collaborative, globally connected environment.

• At least 8 years of hands-on experience in Python development and enterprise application engineering.

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

• At least 2 years of experience with LangChain, including building large language model (LLM)-powered applications, integrating tools, implementing retrieval-augmented generation (RAG), and automating workflows.

• Strong understanding of agentic AI concepts, including autonomous agents, planning, orchestration, memory management, and tool-calling frameworks.

• Proven experience building, deploying, and maintaining production-grade generative AI applications.

• Experience integrating AI-powered applications with enterprise platforms, backend services, and APIs.

• Demonstrated ability to design and implement conversational AI and chat-based applications in production environments.

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

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

• Experience working in Agile development environments and collaborating effectively with multidisciplinary teams.

• Excellent analytical and problem-solving abilities, with strong written and verbal communication skills.

• Effective stakeholder management skills, with the ability to translate business needs into technical solutions and communicate complex concepts clearly.

• A proactive, collaborative mindset, with an interest in emerging AI technologies, continuous learning, and delivering reliable, scalable solutions.

Nice to Have:

• Hands-on experience with the Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication standards.

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

• Practical experience implementing RAG architectures and knowledge-based AI systems.

• Familiarity with vector databases, embeddings, and semantic search technologies.

• Experience working with cloud platforms such as Microsoft Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP).

• Experience contributing to centralized enterprise AI platforms that support multiple business functions and use cases.

• Exposure to healthcare or other highly regulated enterprise environments, with an understanding of the importance of security, reliability, and compliance.