Agentic Outcome Engineer

We are seeking an agentic outcome engineer to design, build, and optimise AI-powered agents that enhance how customers experience our products. You will own the end-to-end lifecycle of autonomous agent systems from development to measurement and continuous improvement, driving exceptional customer experiences and measurable business impact.

Requirements:

• Bachelor's in computer science, engineering or equivalent or other advanced education.
• Overall work experience of 5-7 years in software product development.
• Strong software engineering skills (e. g., Python, TypeScript/JavaScript, or similar) and RESTful API services (XML/JSON), data pipelines, and observability.
• Good understanding and knowledge of public clouds, viz., AWS, Azure and GCP.
• Familiarity and hands-on experience with front-end development like HTML, CSS, JavaScript, and React/Angular.
• Experience working with web development solutions such as Progressive Web Applications (PWAs) and Single-Page Applications (SPAs).
• Good understanding of DOM, WCM core components and templates.
• A good understanding of observability and knowledge of monitoring and reporting (New Relic, Nagios, Icinga, and Splunk) are required; experience with long-term operations in this tech stack is a plus.
• Knowledge of Real User Monitoring (RUM) tools and analysis.
• Having hands-on experience is a big plus.
• Familiarity with Linux / Windows, web servers, middleware applications and their operations.
• A huge plus if the candidate has hands-on experience building AI/ML systems or agentic frameworks (e. g., LLM-based apps, AI agents, RAG, safety measurements or automation, etc. ), but knowledge and understanding are very much necessary.
• Strong understanding and familiarity with prompt engineering and AI tool use are a must.
• Results-focused approach: experience defining metrics, A/B or similar experiments, and using data to prioritise and improve products.
• Customer focus - experience working with user research, support data, or product analytics to improve user or customer experience.
• Motivation and flexibility - working well in a fast-paced, collaborative team environment.

Skills

AI, AWS, Azure, GCP, JavaScript, LLM, Python, RAG, TypeScript, agents, prompt engineering