Overview
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WELCOME TO OLX
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We're building marketplace sustainable ecosystems that millions of people depend on every month – to buy and sell cars, find homes, land jobs, and trade secondhand goods. It's commerce that matters:
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safe ,
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smart, and environmentally responsible .
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We do this with courage to innovate,
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commitment to outcomes,
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collaboration across 50+ nationalities and 7 markets, and a customer-led approach that puts real people first. Add a desire to win
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– and you get a culture that's ambitious, fast-moving, and built on trust.
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Our brands – including AutoTrader, OLX, Otomoto Property24, and more – are loved by millions. And we're backed by Prosus, one of the world's largest tech investors.
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Join OLX And See How Far You Can Go.
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We are seeking a highly skilled and innovative
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Lead Agentic AI Engineer to join our team. In this role, you will be responsible for designing an Agentic AI platform using available 3rd party tools and connecting them to our data ecosystem, and then testing and deploying end-to-end agentic systems that automate core business functions across Finance, HR, Legal, Customer Support, and other critical areas.
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You will work with a diverse range of tools and platforms, including a subset of Claude, Code Interpreter, AWS Quick, N8N, LanGraph and other cutting-edge technologies, to create intelligent, autonomous systems that drive efficiency and deliver measurable business impact.
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If you are passionate about building intelligent systems that solve real-world problems and thrive in a fast-paced, dynamic environment, we would love to hear from you!
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Key Responsibilities
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System Design & Development: 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.
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Tool Integration: Work with a variety of AI tools and platforms (e.g., Claude, AWS QuickSight, OpenAI, n8n, LangChain, etc.) to build seamless, integrated solutions.
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End-to-End Automation: Develop and deploy end-to-end solutions that include data ingestion, processing, decision-making, and action execution.
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Custom AI Models: Fine-tune and customize AI models to meet specific business requirements, ensuring high accuracy and reliability.
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Collaboration: Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders, to understand requirements and deliver impactful solutions.
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Performance Optimization: Continuously monitor, evaluate, and optimize the performance of agentic systems to ensure scalability, efficiency, and robustness.
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Documentation & Reporting: Maintain clear documentation of system architecture, workflows, and processes. Provide regular updates and reports to stakeholders on system performance and outcomes.
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Innovation: Stay updated on the latest advancements in AI, machine learning, and automation technologies, and proactively identify opportunities to enhance existing systems.
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Required Skills
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Proficiency in programming languages such as Python, JavaScript and similar.
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Hands-on experience with tools like Claude, N8N, AWS QuickSight, OpenAI APIs, LangChain, or similar platforms.
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Strong understanding of agentic AI systems, including autonomous decision-making and multi-agent architectures.
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Understanding of agentic integration patterns such as MCP, A2A and associated protocols.
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Knowledge of agent loops, tool usage, security, and orchestration of sub-agents.
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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
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Proficiency in building APIs (Python, JavaScript/, Go) and designing large-scale systems.
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Experience with data processing, ETL pipelines, and working with structured and unstructured data.
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Familiarity with databases (SQL/NoSQL) and data visualization tools.
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Ability to design creative solutions for complex business challenges using AI and automation.
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Strong organizational skills with the ability to manage multiple projects and deadlines simultaneously.
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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.
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Preferred Qualifications
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Experience in automating workflows in Finance, Customer Support, or similar domain