Staff Engineer, AI Transformation

🔥 3 minutes 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.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

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 using MCP and APIs • Build AI agents, specialized skills, and context-aware tools using modern AI frameworks • Construct secure data pipelines and integrations connecting Salesforce, Kantata PSA, data warehouses, and AI runtime environments • Map manual workflows across Customer Success and CX Operations • 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 such as implementation automation pipelines, next-best-action recommendations, AI-generated customer review preparation, renewal-risk detection systems, 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 experience • TypeScript/Node.js experience • Hands-on experience building generative AI applications • Experience connecting systems and providing intelligence or automation through agents • Familiarity with the 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 business architectures, systems, and go-to-market processes • Experience with Salesforce, Gainsight, 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, or Pgvector • Preferred: familiarity with LLM observability tools such as LangSmith or Phoenix • Preferred: experience with serverless and cloud platforms such as 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 versus 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 • Employee-rated Best Place to Work culture • Great perks • Inclusive environment committed to diversity