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We are looking for passionate and experienced engineers to join our pioneering team. In this role, you will use our cutting-edge Agentic AI platform to design and implement bespoke Agentic AI solutions that revolutionize our customers' software products. This is not just another development job; you'll be an architect of intelligent, autonomous systems, solving complex business problems by building reliable, long-running AI agents. If you are thrilled by the challenge of creating fault-tolerant workflows and working directly with customers to bring innovative ideas to life, this role is for you.
Job Responsibility:
Design and develop custom, scalable Agentic AI solutions for a diverse range of clients using our Agentic platform
Work directly with customer stakeholders to understand their challenges, define requirements, and translate business needs into robust technical solutions
Engineer reliable, durable, and resumable processes capable of running for extended periods in distributed production environments
Connect our AI agents with various LLMs, third-party APIs, and complex business logic to create seamless, intelligent systems
Guide a team of engineers, manage project priorities, and foster a culture of technical excellence and collaboration
Requirements:
4+ years of professional experience across the full software development lifecycle (SDLC)
Hands-on expertise in technologies like .NET, JavaScript (React/Angular/Node.js), and building/consuming REST APIs
Proven ability in designing and building scalable, event-driven systems and microservices
Strong experience with Azure and/or AWS, including containerization (Docker, Kubernetes) and infrastructure management
A natural ability to architect elegant, customer-specific solutions for complex technical challenges
Strong interpersonal and technical communication skills, with the confidence to work directly with customers and internal teams
Nice to have:
Experience with workflow orchestration frameworks like Temporal, Apache Airflow, or AWS Step Functions
Experience in using the Microsoft Graph API
Prior experience integrating LLMs, AI, or ML models into production applications
Deep knowledge of asynchronous programming, system observability (logging/monitoring), and fault-tolerant design patterns
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