Senior AI Engineer (Python)

Accountabilities

• Develop, enhance, and maintain AI agents and orchestration capabilities using Python, LangGraph, and LangChain.
• Build and extend AI-powered guided workflows and automation solutions that support diverse enterprise business functions.
• Design, develop, and optimize conversational AI systems and chat-based applications for production environments.
• Implement agent planning, orchestration, state management, memory, tool calling, and response-generation capabilities.
• Integrate AI agents and applications with enterprise platforms, backend services, external systems, and APIs.
• Support modern AI integration frameworks and agent communication patterns to enable effective collaboration between AI systems and enterprise applications.
• Implement and improve AI observability, monitoring, telemetry, and performance-tracking mechanisms to evaluate system behavior and reliability.
• Collaborate with engineering teams, product stakeholders, and other cross-functional partners to accelerate platform development and deliver business use cases.
• Troubleshoot technical issues, optimize performance, strengthen solution reliability, and drive continuous improvements across the AI platform.
• Contribute to architecture discussions, technical design decisions, engineering standards, and best practices for building scalable, maintainable AI solutions.
• Help advance the adoption of emerging AI technologies and approaches to improve platform capabilities and support evolving business needs.

Requirements

• 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.

Benefits

• Competitive compensation and benefits: Access a comprehensive compensation package and employee benefits, including health insurance. Specific salary ranges and coverage details are not disclosed in the provided description.
• Remote work flexibility: Benefit from a work-from-anywhere culture designed to support flexibility and work-life balance.
• Professional development: Access learning opportunities, certification programs, mentorship, and talent development initiatives.
• Career growth and internal mobility: Explore opportunities to expand your responsibilities, develop new expertise, and pursue career progression within the organization.
• Global project exposure: Collaborate on impactful technology initiatives for major international clients and contribute to solutions that support business transformation.
• International collaboration: Work alongside a multicultural, globally distributed team in an inclusive environment that values open communication and knowledge sharing.
• Team engagement: Participate in team-building activities and social events that foster connection and collaboration.
• Inclusive workplace culture: Join an environment that promotes equal opportunity, mutual respect, and support for professionals from diverse backgrounds.
• Social responsibility: Contribute to sustainability initiatives focused on IT education, community empowerment, fair business practices, environmental responsibility, and gender equality.
• Relocation support: A relocation program is offered.