Lead – AI-Native Applications/ Lead FDE

About The Ksquare Group

The Ksquare Group is a global technology consulting company headquartered in Dallas, Texas, with over 14 years of experience delivering technology solutions across Salesforce, cloud, data, AI, and network engineering for clients in Banking & Financial Services, Public Sector, Telecommunications, Manufacturing, Logistics, Healthcare, and Enterprise Services. With a team of 350+ professionals across the US, Mexico, the Dominican Republic and India, we help organizations solve complex business challenges and achieve measurable outcomes through our collaborative POD-based delivery model. At The Ksquare Group, we foster a culture of integrity, collaboration, continuous learning, and professional growth, empowering our teams to make a meaningful impact for clients worldwide.

Role summary

We are looking for a hands-on Fullstack Lead who builds AI-native applications end to end, from React or Vue.js front ends to agentic back ends. You will lead a small engineering pod, shape solutions with clients, and own delivery of production-grade conversational and agentic AI products. You bring deep knowledge of at least one business domain and turn its problems into well-designed software.

Key responsibilities

• Lead design and development of fullstack applications using React or Vue.js front ends with Node.js, Python, Java or .NET back ends.
• Build conversational AI and agentic AI features using LangChain (and LangGraph or similar), including tool calling, RAG, memory and multi-step workflows.
• Translate business requirements into technical solutions, estimates and delivery plans; contribute to proposals and solution walkthroughs.
• Own application design: APIs, data models, front-end architecture, prompt and agent design, and integration with LLM providers.
• Deploy and run applications on cloud-native platforms (GCP, AWS or Azure) using containers, serverless, managed AI services and CI/CD.
• Lead, mentor and review the work of a team of 4–8 engineers; set coding standards and drive engineering best practices.
• Ensure quality, security, observability and cost-efficiency of AI applications, including LLM evaluation, guardrails and monitoring.
• Act as the main technical point of contact for client stakeholders; communicate progress, risks and trade-offs clearly.
• Apply domain expertise to identify high-value AI use cases and shape product direction.

Required skills and experience

• 7+ years of professional software development, with solid fullstack delivery experience.
• Strong front-end expertise in React or Vue.js (component design, state management, TypeScript) and back-end expertise in at least one of Node.js (Express, NestJS), Python (FastAPI, Django), Java (Spring Boot) or .NET (ASP.NET Core).
• Minimum 1 year of hands-on experience building conversational AI and agentic AI applications using LangChain or equivalent frameworks (e.g., LangGraph, LangChain4j, Semantic Kernel).
• Working knowledge of LLMs (OpenAI, Anthropic Claude, Gemini or similar), prompt engineering, embeddings, vector databases and RAG patterns.
• Must have cloud-native experience on at least one of Google Cloud, AWS or Azure.
• Mandatory hands-on DevOps experience, including CI/CD pipelines, containerization, infrastructure automation, release management and production monitoring.
• Expertise in at least one business domain (e.g., BFSI, healthcare, retail, manufacturing, logistics, telecom).
• Proven track record of delivering projects on time and to quality, ideally in client-facing or consulting environments.
• Solutioning mindset: able to break down ambiguous problems and propose pragmatic, scalable solutions.
• Excellent design skills across system design, API design and UI/UX sensibility.
• Excellent written and verbal communication skills.

Nice to have

• Experience with LangGraph, LlamaIndex, CrewAI, AutoGen or Model Context Protocol (MCP).
• Exposure to LLMOps tooling such as LangSmith, Langfuse or Arize.
• Cloud certifications (AWS, Azure or Google Cloud).
• Experience with Agile/Scrum delivery and team leadership in distributed teams.