Staff Engineer, AI Transformation

Job not on LinkedIn

🔥 1 minute ago

🇮🇳 India – Remote

⏰ Full Time

🔴 Lead

🤖 AI Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Kantata

WebsiteLinkedInAll Job Openings

501 - 1000 employees

💼 Consulting

📦 Logistics

☁️ SaaS

Consulting • Logistics • SaaS

Kantata is a technology company focused on providing cloud-based professional services automation (PSA) solutions. Its platform offers features designed to enhance resource management, project management, financial management, and team collaboration. By integrating business intelligence and workflows, Kantata empowers organizations to manage their operations efficiently, optimize resource planning, and improve project outcomes. The company is designed to serve agencies, consultants, and professional services firms, helping them to scale operations and deliver exceptional client experiences.

📋 Description

• Design, code, and deploy custom internal web applications, microservices, and agentic workflows • Securely connect internal systems through MCP and APIs • Build AI agents, specialized skills, and context-aware tools using frameworks such as LangChain, LlamaIndex, or native LLM clients • Construct secure data pipelines and integrations connecting Salesforce, Kantata PSA, data warehouses, and AI runtime environments • Map manual Customer Success and CX Operations workflows • Identify high-friction bottlenecks and translate business needs into software solutions • Implement technical guardrails, data privacy protocols, rate-limiting, and human oversight for high-stakes AI outputs • Track adoption, released capacity, cycle-time improvements, and cost-to-serve metrics • Demonstrate return on investment to executive leadership • Develop initiatives including implementation automation, next-best-action recommendations, AI-generated customer review preparation, renewal-risk detection, and role-based operational copilots • Own the full technical lifecycle from architecture through production deployment and maintenance • Partner broadly across Customer Success, CX Operations, Professional Services, and Renewals

🎯 Requirements

• 5+ years of full-stack or backend software engineering experience • Proven track record of shipping production code • Python proficiency • TypeScript/Node.js proficiency • Hands-on experience building generative AI applications • Experience connecting systems and providing intelligence or task automation through agents • Direct familiarity with Model Context Protocol (MCP) or custom API integrations/connectors between LLMs and enterprise tools • Experience with REST APIs, GraphQL, and Webhooks • Proficiency with modern web development frameworks such as React and Next.js • Familiarity with enterprise SaaS architectures, systems, and go-to-market processes • Experience with Salesforce, Gainsight, and/or PSA platforms • Ability to evaluate business workflows, quantify released capacity, and translate frontline needs into software specifications • Preferred: familiarity with vector databases such as 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 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 based on location and applicable local programs • Flexible time off • Remote-first environment • Professional-development support • Inclusive work environment • Diversity commitment