Full Stack Engineer - Enterprise AI

Company Description

We are an industry-leading technology consulting firm dedicated to empowering organizations through cloud native and enterprise Dev Sec Ops  transformations. Our team of experts are passionate about leveraging cutting-edge technologies to deliver exceptional value to our clients. We specialize in executing innovative technical solutions using cloud native principles, containers, and extreme automation-based Dev Sec Ops  practices. At our core, we believe in pushing boundaries and setting new standards.

Our commitment to excellence is what sets us apart, and it’s why our clients choose to work with us. We understand that delivering superior technical solutions requires a team of recognized professionals. If you have a passion for building cloud native systems, applications, and automation solutions in the cloud, and if you’re seeking to join a company that is a powerhouse in Enterprise Dev Sec Ops  and Cloud Native domains, then you’ve come to the right place.

We foster a dynamic, inclusive, and collaborative environment that encourages innovation and continuous learning. As a member of our team, you’ll have the opportunity to work on exciting projects, tackle complex challenges, and make a significant impact in enabling digital transformation for our clients. Join us and be part of a team that thrives on pushing the boundaries of what’s possible in technology.

Job Description

We're seeking an exceptional Full Stack Engineer to build and scale our enterprise AI applications. You'll design and implement complete AI-powered features from database to UI, working with cutting-edge LLM technology, RAG systems, and production ML infrastructure. This role combines full-stack development expertise with hands-on AI/ML engineering, deploying intelligent systems that deliver real business value at scale.

You’ll be a key technical contributor, shipping production-ready AI features that users love while ensuring reliability, performance, and cost-effectiveness. This is an opportunity to work at the intersection of software engineering and artificial intelligence, solving complex problems with modern technology.

• Design and implement end-to-end RAG (Retrieval-Augmented Generation) pipelines that enable intelligent document search and question-answering across enterprise knowledge bases
• Build production-ready integrations with leading LLMs (GPT-4, Claude, Gemini) that provide accurate, contextual responses to user queries
• Develop sophisticated prompt engineering strategies and evaluation frameworks to ensure consistent, high-quality AI outputs
• Create agent systems with tool integration capabilities that can autonomously complete complex tasks
• Implement vector search solutions using Pinecone, Weaviate, or similar technologies for semantic similarity and knowledge retrieval

• Build scalable backend services using Python/FastAPI with type-safe APIs, authentication, and robust error handling
• Develop responsive, performant frontend applications using React/Next.js with real-time streaming for LLM responses
• Design and optimize database schemas spanning Postgre
  
  SQL, Mongo
  
  DB, and Redis to support high-throughput AI workloads
• Implement Web Socket servers and event-driven architectures for real-time user experiences
• Create comprehensive testing strategies covering unit, integration, and end-to-end tests

• Deploy and manage ML/AI services using Docker containers and Kubernetes orchestration
• Build and maintain CI/CD pipelines that enable rapid, safe deployment of AI features
• Implement infrastructure as code using Terraform to manage cloud resources (AWS, Azure, or GCP)
• Set up comprehensive monitoring and observability using Datadog, Prometheus/Grafana, and LLM-specific tools (Lang Smith, Weights & Biases)
• Optimize costs through intelligent caching, batching strategies, and model selection algorithms
• Ensure enterprise-grade security with proper authentication, authorization, secrets management, and compliance measures

• Expert-level proficiency in Python with modern…