About the role

What will you do at BIRDSVUE LLC?

Benefits

401(k)

Competitive salary

Full Stack AI Engineer

Introduction: We are seeking a highly motivated Full Stack AI Engineer who can design, build, and scale production-grade AI applications from concept to deployment. You will work directly with product leadership and customers to create intelligent systems leveraging LLMs, AI agents, Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), and modern cloud-native architectures.

Responsibilities

AI & Agentic Systems
Design and develop AI-powered applications using OpenAI, Azure OpenAI, Anthropic, Gemini, and open-source models.
Build multi-agent and agentic workflows using LangGraph, LangChain, Semantic Kernel, CrewAI, or equivalent frameworks.
Develop Retrieval-Augmented Generation (RAG) solutions using embeddings, vector databases, document indexing, and knowledge retrieval systems.
Integrate AI models with enterprise systems, APIs, SaaS platforms, and business workflows.
Design prompt orchestration, evaluation frameworks, guardrails, observability, and AI governance controls.
Full Stack Development
Build scalable frontend applications using React, Next.js, TypeScript, and modern UI frameworks.
Develop backend services, APIs, microservices, and event-driven architectures using Python (FastAPI), Node.js, or .NET.
Design and optimize SQL and NoSQL databases.
Implement authentication, authorization, and secure enterprise-grade integrations.
Create reusable APIs and SDKs for AI capabilities across multiple products.
Cloud & Platform Engineering
Deploy AI applications on Azure, AWS, or Google Cloud Platform.
Build containerized services using Docker and Kubernetes.
Implement CI/CD pipelines, infrastructure-as-code, monitoring, and observability.
Optimize AI infrastructure for scalability, performance, and cost efficiency.
Product & Innovation
Partner with product managers and customers to translate business challenges into AI solutions.
Rapidly prototype and productionize AI use cases.
Evaluate emerging AI technologies and recommend adoption strategies.
Contribute to AI platform roadmap and innovation initiatives.

Requirements

Required

Qualifications

Bachelor''s degree in Computer Science, Engineering, or related field.
5+ years of full-stack software development experience.
Strong proficiency in:
Python
TypeScript / JavaScript
React / Next.js
Node.js or FastAPI
Experience building REST APIs and microservices.
Hands-on experience with:
OpenAI / Azure OpenAI APIs
RAG architectures
Vector databases (Pinecone, Weaviate, FAISS, Chroma, Azure AI Search)
LangChain, LangGraph, Semantic Kernel, or similar frameworks
Experience with Docker, Kubernetes, and cloud-native architectures.
Strong understanding of software engineering best practices, testing, CI/CD, and Agile development.
This is a remote position.

Which skills does this role require?

PythonTypeScriptJavaScriptReactNext.jsNode.jsFastAPIOpenAIRAGVector databasesLangChainLangGraphDockerKubernetesCloud-native architecturesREST APIsFull Stack AI EngineerLLMsAI AgentsModel Context ProtocolAzure OpenAIAnthropicGeminiSemantic KernelCrewAISQLNoSQLAzureAWSGoogle Cloud PlatformCI/CDInfrastructure-as-codeMicroservicesAgileC#GCPPrototypingProduct Strategy

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