• Develop and maintain RAG pipelines (ingestion, chunking, embeddings, vector search, and reranking); • Implement and fine-tune prompts, tools, and agent workflows using Azure OpenAI and Gemini/Vertex AI; • Build APIs in Python (FastAPI) to expose solutions; • Run model quality evaluations (test datasets, metrics, error analysis); • Prepare and process client data (PDFs, spreadsheets, structured databases); • Support technical documentation and proof-of-concept work for pre-sales.

• Refactor custom Appian plugins to remove filesystem, database, and logging dependencies incompatible with Appian Cloud • Redesign and modernize plugin components to leverage supported Appian APIs and cloud-compliant integration patterns • Validate compatibility of custom and AppMarket plugins within Appian Cloud environments • Assess and remediate configuration or deployment gaps identified during plugin validation • Implement secure, centralized logging approaches aligned with cloud deployment standards • Package and deploy updated plugins across development, testing, and production environments • Support regression testing across dependent Appian applications impacted by plugin updates • Troubleshoot and resolve defects related to plugin behavior, integrations, or environmental differences • Collaborate with Appian Developers to remediate application objects and integrations impacted by cloud migration • Partner with DBAs to ensure plugin changes align with data migration and validation activities • Participate in structured migration governance processes, including technical documentation, status reporting, and risk tracking • Contribute to production cutover preparation, rollback validation planning, and post-migration stabilization • Document refactor strategies, compatibility findings, deployment steps, and definitions of done • Operate within a defined delivery cadence, maintaining accountability for milestones and technical quality

Role Description We are hiring a Staff Software Engineer who will split their time between building our core product and delivering it directly to customers. This role sits at the intersection of software engineering, product development, customer delivery, and operational execution. - Embed with customer teams to understand their workflows and highest-value use cases. - Build production-ready systems that solve real problems. - Feed learnings from the field back into the core product, shaping platform capabilities, reusable patterns, and roadmap. - Move quickly from discovery to prototype to deployment while maintaining engineering discipline. - Set technical direction, make key architecture decisions, and raise the bar for how we build. - Write code, debug systems, and work through messy customer environments. - Translate vague requirements into concrete technical plans and communicate clearly with both engineers and non-technical stakeholders. Qualifications - 8+ years of software engineering experience, with a strong foundation in building and shipping production-quality systems. - Ability to apply AI and ML techniques, including LLM-based approaches such as RAG, guardrails, and evals, to real customer problems. - Scalable system design experience, ensuring solutions scale reliably as usage, data, and complexity grow. - Experience with backend engineering, distributed systems, APIs, data pipelines, cloud infrastructure, or applied AI/ML systems. - Comfort working across the full stack when needed, including backend services, frontend interfaces, infrastructure, integrations, and deployment workflows. - Ability to operate in ambiguous customer environments and turn unclear requirements into working software. - Strong technical communication skills with engineers, product teams, executives, and customer stakeholders. - High ownership, bias for action, and ability to drive outcomes without waiting for perfect requirements. - Strong debugging instincts and ability to reason across application code, data, infrastructure, networking, and customer systems. Requirements - Prior experience as a full-stack or backend software engineer, forward deployed engineer, solutions engineer, product engineer, platform engineer, or founding/startup engineer. - Experience with AI agents, LLM applications, workflow orchestration, evals, guardrails, retrieval systems, or model deployment. - Experience with cloud platforms such as AWS, Azure, or GCP. - Experience with Kubernetes, Terraform, Docker, CI/CD, observability, and secure deployment practices. - Familiarity with identity and access management, audit logging, data governance, and secure software delivery. - Experience building in environments with compliance, security, or operational constraints. - Comfort working in secure or regulated customer environments. Benefits - Career track opportunity with potential for rapid advancement with strong performance as the firm grows. - 100% employer paid, comprehensive health care including medical, dental, and vision for you and your family. - Paid maternity and paternity for 14 weeks at employees' normal pay. - Unlimited PTO, with management approval. - Opportunities for professional development and continued learning. - Optional 401K, FSA, and equity incentives available. - Mental health benefits are available through Tara Mind.

Role Description We are hiring a Staff Software Engineer who will split their time between building our core product and delivering it directly to customers. This role sits at the intersection of software engineering, product development, customer delivery, and operational execution. - Embed with customer teams to understand their workflows and highest-value use cases. - Build production-ready systems that solve real problems. - Feed learnings from the field back into the core product, shaping platform capabilities and roadmap. - Move quickly from discovery to prototype to deployment while maintaining engineering discipline. - Set technical direction, make key architecture decisions, and raise the bar for how we build. - Write code, debug systems, and work through messy customer environments. - Translate vague requirements into concrete technical plans and communicate clearly with both engineers and non-technical stakeholders. Qualifications - 8+ years of software engineering experience, with a strong foundation in building and shipping production-quality systems. - Ability to apply AI and ML techniques, including LLM-based approaches such as RAG, guardrails, and evals, to real customer problems. - Scalable system design experience, ensuring solutions scale reliably as usage, data, and complexity grow. - Experience with backend engineering, distributed systems, APIs, data pipelines, cloud infrastructure, or applied AI/ML systems. - Comfort working across the full stack when needed, including backend services, frontend interfaces, infrastructure, integrations, and deployment workflows. - Ability to operate in ambiguous customer environments and turn unclear requirements into working software. - Strong technical communication skills with engineers, product teams, executives, and customer stakeholders. - High ownership, bias for action, and ability to drive outcomes without waiting for perfect requirements. - Strong debugging instincts and ability to reason across application code, data, infrastructure, networking, and customer systems. Requirements - Prior experience as a full-stack or backend software engineer, forward deployed engineer, solutions engineer, product engineer, platform engineer, or founding/startup engineer. - Experience with AI agents, LLM applications, workflow orchestration, evals, guardrails, retrieval systems, or model deployment. - Experience with cloud platforms such as AWS, Azure, or GCP. - Experience with Kubernetes, Terraform, Docker, CI/CD, observability, and secure deployment practices. - Familiarity with identity and access management, audit logging, data governance, and secure software delivery. - Experience building in environments with compliance, security, or operational constraints. - Comfort working in secure or regulated customer environments. Benefits - Career track opportunity with potential for rapid advancement with strong performance as the firm grows. - 100% employer paid, comprehensive health care including medical, dental, and vision for you and your family. - Paid maternity and paternity for 14 weeks at employees' normal pay. - Unlimited PTO, with management approval. - Opportunities for professional development and continued learning. - Optional 401K, FSA, and equity incentives available. - Mental health benefits are available through Tara Mind.