Staff Engineer, AI Transformation

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

📋 Description

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

• Establish secure connections between internal systems through MCP and APIs.

• Develop AI agents, specialized skills, and context-sensitive tools utilizing frameworks such as LangChain, LlamaIndex, or native LLM clients.

• Build secure data pipelines and integrations that link Salesforce, Kantata PSA, data warehouses, and AI runtime environments.

• Diagram manual workflows for Customer Success and CX Operations.

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

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

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

• Illustrate return on investment to executive leadership.

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

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

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

⛳️ Requirements

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

• Demonstrated success in delivering production code.

• Proficiency in Python.

• Proficiency in TypeScript/Node.js.

• Practical experience in developing generative AI applications.

• Knowledge in connecting systems and enabling intelligence or task automation via agents.

• Direct experience with Model Context Protocol (MCP) or custom API integrations/connectors linking LLMs and enterprise tools.

• Familiarity with REST APIs, GraphQL, and Webhooks.

• Proficient with contemporary web development frameworks such as React and Next.js.

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

• Experience with Salesforce, Gainsight, and/or PSA platforms.

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

• Preferred: knowledge of vector databases like Pinecone, Weaviate, Qdrant, and Pgvector.

• Preferred: familiarity with LLM observability tools such as LangSmith and Phoenix.

• Preferred: experience with AWS, GCP, Vercel, or Modal.

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

• Preferred: understanding of Professional Services metrics, including utilization, billable vs. 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.

• Inclusive workplace culture.

• Commitment to diversity.