Staff Engineer, AI Transformation

This is a fully remote position, open to applicants in India.

📋 Description

• Develop, code, and implement tailored internal web applications, microservices, and agentic workflows.

• Safely connect internal systems utilizing MCP and APIs.

• Create AI agents, specialized capabilities, and context-aware tools using contemporary AI frameworks.

• Establish secure data pipelines and integrations linking Salesforce, Kantata PSA, data warehouses, and AI runtime environments.

• Analyze manual workflows within Customer Success and CX Operations.

• Detect high-friction bottlenecks and convert business requirements into software solutions.

• Enforce technical guardrails, data privacy measures, rate limiting, and human oversight for critical AI outputs.

• Monitor adoption rates, released capacity, cycle-time enhancements, and cost-to-serve metrics.

• Present return on investment to executive leadership.

• Initiate projects such as implementation automation pipelines, next-best-action recommendations, AI-generated customer review preparations, renewal-risk detection systems, and role-specific operational copilots.

• Manage the complete technical lifecycle from architecture to production deployment and ongoing maintenance.

• Collaborate extensively with Customer Success, CX Operations, Professional Services, and Renewals teams.

⛳️ Requirements

• Over 5 years of experience in full-stack or backend software engineering.

• Demonstrated success in delivering production code.

• Proficiency in Python.

• Experience with TypeScript/Node.js.

• Practical experience in developing generative AI applications.

• Experience in system connectivity and delivering intelligence or automation via agents.

• Knowledge of the Model Context Protocol (MCP) or custom API integrations/connectors between LLMs and enterprise tools.

• Familiarity with REST APIs, GraphQL, and Webhooks.

• Expertise in modern web development frameworks such as React and Next.js.

• Understanding of enterprise SaaS business architectures, systems, and go-to-market strategies.

• Experience with Salesforce, Gainsight, or PSA platforms.

• Ability to assess business workflows, quantify released capacity, and convert frontline needs into software specifications.

• Preferred: familiarity with vector databases like Pinecone, Weaviate, Qdrant, or Pgvector.

• Preferred: knowledge of LLM observability tools such as LangSmith or Phoenix.

• Preferred: experience with serverless and cloud platforms including AWS, GCP, Vercel, or Modal.

• Preferred: background collaborating with Customer Success, Professional Services, or CX Operations teams in B2B SaaS.

• Preferred: understanding of Professional Services metrics, including utilization, billable versus non-billable hours, and margin optimization.

🏝️ Benefits

• Competitive compensation.

• Benefits tailored to location and applicable local programs.

• Flexible time off.

• Remote-first work environment.

• Support for professional development.

• Employee-rated culture as a Best Place to Work.

• Excellent perks.

• An inclusive environment dedicated to diversity.