Architect and develop an agentic AI platform.
Use this platform to implement the initial agentic workflows capable of automating complex processes in areas including Finance, HR, Legal, Customer Support, and Operations.
Mentor more junior agentic AI developers to further expand such flows.
Work with a variety of AI tools and platforms (e.g., Claude, AWS QuickSight, OpenAI, n8n, LangChain, etc.) to build seamless, integrated solutions.
Develop and deploy end-to-end solutions that include data ingestion, processing, decision-making, and action execution.
Fine-tune and customize AI models to meet specific business requirements, ensuring high accuracy and reliability.
Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders, to understand requirements and deliver impactful solutions.
Continuously monitor, evaluate, and optimize the performance of agentic systems to ensure scalability, efficiency, and robustness.
Maintain clear documentation of system architecture, workflows, and processes.
Provide regular updates and reports to stakeholders on system performance and outcomes.
Stay updated on the latest advancements in AI, machine learning, and automation technologies, and proactively identify opportunities to enhance existing systems.

Proficiency in programming languages such as Python, JavaScript and similar.
Hands-on experience with tools like Claude, N8N, AWS QuickSight, OpenAI APIs, LangChain, or similar platforms.
Strong understanding of agentic AI systems, including autonomous decision-making and multi-agent architectures.
Understanding of agentic integration patterns such as MCP, A2A and associated protocols.
Knowledge of agent loops, tool usage, security, and orchestration of sub-agents.
Understanding of LLM safety, observability, and evaluation practices, including guardrails, automated evals, and LLM-as-a-judge approaches for monitoring quality, reliability, and failure modes in production systems
Proficiency in building APIs (Python, JavaScript/, Go) and designing large-scale systems.
Experience with data processing, ETL pipelines, and working with structured and unstructured data.
Familiarity with databases (SQL/NoSQL) and data visualization tools.
Ability to design creative solutions for complex business challenges using AI and automation.
Strong organizational skills with the ability to manage multiple projects and deadlines simultaneously.
Excellent verbal and written communication skills to effectively collaborate with technical and non-technical stakeholders. Ability to work across multiple levels of the organization, in an international setting with different cultures.

Lead Agentic AI Engineer

Key skills