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# Lead AI Full-Stack Engineer

- **Company:** Everest Technologies, Inc.
- **Location:** Indianapolis, IN, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Microsoft Azure, Cloud Engineering, Code Review, Continuous Integration, Software Design Patterns, DevOps, Django Web Framework, Python (Programming Language), Open Source Technology, Search Technologies, Systems Architecture, TypeScript, Web Performance Optimization, Cloud Platform System, ReactJS, System Availability, Flask (Web Framework), Large Language Models, Multi-Agent Systems, Prompt Engineering, Spring-boot, Generative AI, Backend, Fastapi, Kubernetes, Performance Monitor, Bicep, Front End Software Development, Api Gateway, Terraform, Docker, Microservices
- **Published:** September 17, 2026
- **Apply:** https://www.dice.com/job-detail/ca82c503-b826-4fc6-977e-b15aedc40ea4

## About the Role

* Experience: 7+ years in full-stack engineering, including 2+ years leading engineering initiatives or technical teams and building AI-native applications in production.
 * Frontend: React.js, TypeScript, state management architectures, micro-frontends, and web performance optimization.
 * Backend: Mastery of Java (Spring Boot) and Python (FastAPI, Flask); expertise in Microservices design, asynchronous patterns, and API gateways.
 * AI / LLM Orchestration: Deep expertise with RAG architectures, Vector DBs (Pinecone, Qdrant, Azure AI Search, pgvector), agentic workflows, model routing, and token optimization.
 * Cloud & DevOps: Advanced skills in Azure cloud infrastructure, Docker, Kubernetes (AKS), Infrastructure-as-Code (Terraform/Bicep), and CI/CD automation.
 * Leadership: Track record of mentoring developers, driving architectural decisions, and communicating complex AI tradeoffs to executive leadership.
 * Proven experience fine-tuning open-source models (Llama, Mistral) or building enterprise-wide semantic caches.
 * Experience with multi-agent design patterns (AutoGen, CrewAI) and complex function-calling structures.
 * Deep knowledge of enterprise AI compliance, data privacy, and Responsible AI frameworks.

## Description

We are looking for a Lead AI Full-Stack Engineer to define the technical vision, architecture, and execution strategy for our next-generation AI-native platform. In this high-impact role, you will lead a cross-functional team of developers while remaining hands-on in code.
You will own end-to-end technical direction across our Java and Python Microservices, enterprise React applications, cloud systems (Azure), and advanced LLM/RAG orchestration pipelines., * Technical Leadership & Strategy: Establish end-to-end AI application architecture, establish best practices for prompt engineering, latency optimization, cost control, and set engineering standards across frontend, backend, and AI stacks.

 * Team Mentorship & Delivery: Guide and mentor cross-functional engineers (5-10 team members), conduct code reviews, unblock technical issues, and partner with Product and Design leaders to map product roadmaps into technical deliverables.
 * AI & RAG System Architecture: Architect resilient Retrieval-Augmented Generation (RAG) pipelines, multi-agent frameworks, and real-time semantic search using tools like LangChain, LlamaIndex, or AutoGen.
 * Full-Stack & Microservices Design: Oversee robust, scalable Microservices engineered in Java (Spring Boot) and Python (FastAPI/Django), integrated with component-driven React/TypeScript frontends.
 * Enterprise Azure Infrastructure: Own cloud architecture strategy on Microsoft Azure (Azure OpenAI, Azure AI Search, AKS, Container Apps), prioritizing high availability, strict security protocols, and cost governance.
 * AI Governance & Reliability: Implement guardrails for LLM safety, PII detection, fallback mechanisms, hallucination evaluation metrics, and continuous performance monitoring.