Conversational AI Engineering Manager

Job not on LinkedIn

🔥 0 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🗣️ LLM Engineer

👻 Ghost score 10%

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Logo of Full Potential Solutions

Full Potential Solutions

1001 - 5000 employees

Founded 2017

💼 Consulting

🤝 B2B

🏢 Enterprise

Consulting • B2B • Enterprise

Full Potential Solutions is a global business process outsourcing and customer experience company that provides operations, customer retention, pre-sales, customer protection, and conversational AI design services. The company operates multiple locations including Bogotá, Manila, Davao and Pune and offers structured hiring, onboarding and training programs for employees and candidates. Full Potential Solutions focuses on delivering operational support and customer-facing services to clients while emphasizing employee development and scalable hiring processes.

📋 Description

• Manage and coach engineers across levels L1–L5 • Lead onboarding, performance management, career development, and promotion readiness • Build a high-trust feedback culture with strong engineering fundamentals, including code review, testing, documentation, and incident learning • Recruit and hire across multiple levels and scale the team responsibly • Own delivery outcomes across concurrent projects, including planning, prioritization, scope control, and risk management • Collaborate with Product, clients, and stakeholders to translate business requirements into technical plans and measurable milestones • Establish and improve agile operating rhythms, including sprint/kanban, roadmapping, retrospectives, and metrics • Enforce CI/CD workflows • Lead implementation and enhancement of conversational AI solutions using Cognigy and/or Amazon Lex + Amazon Q • Oversee chat and voice bots, routing, integrations, and knowledge-driven experiences • Ensure best practices for conversational design, NLU/LLM prompt and tooling hygiene, and safe fallbacks or hand-offs to live agents • Improve bot quality through evaluation, testing, monitoring, and iterative optimization • Define and enforce standards for reliability, observability, and on-call readiness • Drive incident response and root-cause reviews • Partner with security and compliance stakeholders on data handling, retention, and access controls for customer data integrations

🎯 Requirements

• Experience managing and coaching engineers across levels L1–L5 • Experience with onboarding, performance management, career development, and promotion readiness • Experience recruiting and hiring across multiple levels • Experience owning delivery outcomes, including planning, prioritization, scope control, and risk management • Strong client interaction and stakeholder management experience • Hands-on experience creating and reviewing BRD, PRD, FRD, SOW, and NFRD • Experience documenting AI solutions, including AI-specific BRDs/PRDs, use cases, workflows, and integrations • Experience establishing agile operating rhythms, including sprint/kanban, roadmapping, retrospectives, and metrics • Experience enforcing CI/CD workflows, both with and without repositories • Experience leading conversational AI solutions built on Cognigy and/or Amazon Lex + Amazon Q • Knowledge of conversational design implementation, NLU/LLM prompt/tooling hygiene, and safe fallbacks/hand-offs to live agents • Experience with bot evaluation, testing strategies, monitoring, and iterative optimization • Experience defining standards for reliability, observability, and on-call readiness, including SLOs, logging, dashboards, and alerts • Experience driving incident response and root-cause reviews • Experience working with security/compliance stakeholders on data handling, retention, and access controls • Experience integrating customer data sources

🏖️ Benefits

• Competitive suite of benefits • Lucrative compensation program • Medical benefits • Dental benefits • Vision benefits • Opportunity for high-potential career growth with a fast-growing company

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