Full Stack Engineer - Enterprise AI Applications

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divh2Full Stack Engineer/h2pWere seeking an exceptional Full Stack Engineer to build and scale our enterprise AI applications. Youll 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. Youll 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./ppAI-Powered Applications/pulliDesign and implement end-to-end RAG (Retrieval-Augmented Generation) pipelines that enable intelligent document search and question-answering across enterprise knowledge bases/liliBuild production-ready integrations with leading LLMs (GPT-4, Claude, Gemini) that provide accurate, contextual responses to user queries/liliDevelop sophisticated prompt engineering strategies and evaluation frameworks to ensure consistent, high-quality AI outputs/liliCreate agent systems with tool integration capabilities that can autonomously complete complex tasks/liliImplement vector search solutions using Pinecone, Weaviate, or similar technologies for semantic similarity and knowledge retrieval/li/ulpFull-Stack Features/pulliBuild scalable backend services using Python/FastAPI with type-safe APIs, authentication, and robust error handling/liliDevelop responsive, performant frontend applications using React/Next.js with real-time streaming for LLM responses/liliDesign and optimize database schemas spanning PostgreSQL, MongoDB, and Redis to support high-throughput AI workloads/liliImplement WebSocket servers and event-driven architectures for real-time user experiences/liliCreate comprehensive testing strategies covering unit, integration, and end-to-end tests/li/ulpProduction Infrastructure/pulliDeploy and manage ML/AI services using Docker containers and Kubernetes orchestration/liliBuild and maintain CI/CD pipelines that enable rapid, safe deployment of AI features/liliImplement infrastructure as code using Terraform to manage cloud resources (AWS, Azure, or GCP)/liliSet up comprehensive monitoring and observability using Datadog, Prometheus/Grafana, and LLM-specific tools (LangSmith, Weights Biases)/liliOptimize costs through intelligent caching, batching strategies, and model selection algorithms/liliEnsure enterprise-grade security with proper authentication, authorization, secrets management, and compliance measures/li/ulpRequired Experience Skills/ppFull-Stack Development (4+ years)/pulliExpert-level proficiency in Python with modern frameworks (FastAPI, Flask)/liliStrong TypeScript/JavaScript skills with deep React and Next.js experience/liliProven track record designing and building RESTful and GraphQL APIs/liliSolid understanding of relational (PostgreSQL, MySQL) and NoSQL (MongoDB) databases/liliExperience with authentication systems (OAuth2, JWT, SSO) and security best practices/liliTrack record of shipping high-quality, scalable software to production/li/ulpAI/ML Engineering (3+ years)/pulliHands-on experience building and deploying AI/ML applications in production environments/liliDeep understanding of LLM integration, prompt engineering, and context management/liliProven expertise with RAG systems: document processing, chunking, embedding, retrieval, and generation/liliExperience working with vector databases (Pinecone, Weaviate, Chroma, FAISS, or Qdrant)/liliStrong grasp of semantic search, similarity algorithms, and hybrid search techniques/liliKnowledge of evaluation frameworks for assessing AI system quality and performance/li/ulpMLOps Infrastructure (3+ years)/pulliProduction experience with Docker containerization and Kubernetes orchestration/liliStrong knowledge of at least one major cloud platform (AWS, Azure, or GCP) and their AI services/liliExperience building CI/CD pipelines for ML/AI applications/liliProficiency with infrastructure as code tools (Terraform, CloudFormation, Pulumi)/liliUnderstanding of monitoring, logging, and alerting best practices/liliCost optimization experience for cloud and AI workloads/li/ulpSoftware Engineering Excellence/pulliStrong computer science fundamentals and algorithmic thinking/liliExperience with test-driven development (TDD) and comprehensive testing strategies/liliProficiency with Git workflows, code review practices, and collaborative development/liliExcellent debugging and problem-solving skills/liliClear technical communication and documentation abilities/liliAgile/Scrum experience with ability to work in fast-paced environments/li/ulpPreferred Qualifications Advanced AI Capabilities/pulliExperience with LangChain, LlamaIndex, LangGraph, or similar LLM frameworks/liliKnowledge of fine-tuning techniques (LoRA, QLoRA) and parameter-efficient methods/liliFamiliarity with agent architectures, tool-using systems, and Model Context Protocol (MCP)/liliExperience with multi-modal AI (vision-language models, document understanding)/liliBackground in prompt optimization, structured outputs, and function calling/li/ulpExtended Technical Skills/pulliAdditional programming languages: Go, Rust, or Node.js/TypeScript backend experience/liliAdvanced Kubernetes knowledge: Helm, operators, service mesh (Istio)/liliExperience with message queues (Kafka, RabbitMQ, AWS SQS) and event-driven architectures/liliKnowledge of graph databases (Neo4j) for advanced memory systems/liliContributions to open-source AI/ML projects/li/ulpLeadership Collaboration/pulliExperience mentoring junior engineers and conducting technical interviews/liliTrack record of making impactful architectural decisions/liliAbility to translate complex technical concepts for non-technical stakeholders/liliExperience working across teams (product, design, data science)/li/ulpAdditional Information/ppAll your information will be kept confidential according to EEO guidelines./p/div

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