Job Opportunities API

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together.   As a Software Software Engineer in our Engineering Enablement Group, you will  pioneer the re-design and evolution of our global translation platform , ensuring it is highly reliable, scalable, and fault-tolerant. You will lead the architectural shift across public, private, and hybrid clouds to enable frequent, high-impact deployments while maintaining world-class responsiveness. By leveraging AWS  and modern microservices, you will transform our infrastructure into a robust ecosystem that allows feature teams to iterate rapidly. We are looking for a technical leader who can bridge the gap between complex Python-based customer delivery and sophisticated DevOps automation, ultimately delivering a seamless, localized experience to our global users. Preferred Qualifications Python Expert: 6-9 Years of experience with High proficiency in Python with a proven track record of designing and delivering customer-facing features (experience with Golang or Java is a plus). AWS User: Advanced experience with AWS infrastructure, specifically AWS Bedrock or similar AI/ML integration services. CI/CD Architect: Strong end-to-end knowledge of pipeline creation, deployment automation, and infrastructure-as-code. System Observability: Familiarity with monitoring and performance tools Education: Bachelors in computer science, Engineering, or equivalent professional experience. To be successful in this role, you need: Agentic Architecture & Workflow Design: Design, develop, and deploy production-grade LLM agents and multi-agent systems. Create stateful, resilient agentic workflows featuring self-correction, planning, and advanced tool use Model Evaluation & Benchmarking:  Establish strict automated and human-in-the-loop (HITL) evaluation pipelines. Define metrics for accuracy, latency, hallucination rates, and tool-calling fidelity to systematically test changes before production deployment Fine-Tuning & Model Selection:  Experiment with and select the right models (proprietary vs. open-source) for specific tasks within an agentic pipeline, including fine-tuning smaller models for highly specialized agent nodes. Design : To lead the re-design of our translation platform, ensuring it is immutable, secure, and resilient against high-volume traffic. DevOps Ownership: A "builder" mindset toward end-to-end CI/CD pipelines, automating every phase of the development lifecycle to achieve true continuous delivery. Strategic Problem Solving: Strong debugging skills to resolve complex distributed systems issues, paired with the soft skills needed to mentor teams and lead cross-functional initiatives. Product-Centric Engineering: Experience building software in an enterprise SaaS environment with a focus on delivering direct value to the end customer through Python . Tools and Resources  Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires.  Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aimin