Position Details

Type Not Specified

Experience mid

Exp. Years 3-6 years

Education Not specified

Category AI & Machine Learning

About this role

Mid-level AI engineer to design, build, and deploy AI-enabled backend services in a cloud-native AWS environment; integrate AI models and maintain CI/CD pipelines.

Key Responsibilities

Design, develop, and maintain scalable backend services using Node.js and .NET Core
Build and operate cloud-native applications within AWS
Integrate AI/ML models into production systems
Implement CI/CD pipelines and deployment workflows
Ensure code quality and observability

Technical Overview

Stacks Node.js/.NET Core; AWS; containerized via Docker/Kubernetes; AI model productionization with LLM frameworks; data pipelines; vector embeddings; RAG.

Ideal Candidate

The ideal candidate is a mid-level AI/ML software engineer with 3+ years of experience building and deploying AI-powered backend services in cloud environments, proficient with Node.js, .NET Core, and AWS, and comfortable productionizing AI models and data pipelines.

Must-Have Skills

3–6 years of professional software engineering experienceNode.js (JavaScript/TypeScript).NET Core / C#Hands-on AWS cloud services experienceRESTful APIs and/or microservicesContainerization with DockerKubernetes or ECS

Nice-to-Have Skills

LLMs or modern AI frameworks (OpenAIHugging FaceLangChainSemantic Kernel)Familiarity with vector databasesembeddingsor RAG architecturesCI/CD pipelines and deployment workflowsAI model productionization experienceObservability and monitoring experience

Tools & Platforms

Node.js.NET CoreC#AWSAmazon Web ServicesDockerKubernetesOpenAIHugging FaceLangChainSemantic KernelRESTful APIsAPI GatewayECSEKSLambdaS3RAG

Required Skills

Node.jsJavaScriptTypeScript.NET CoreC#AWSAmazon Web ServicesLambdaECSEKSAPI GatewayRESTful APIsMicroservicesDockerKubernetesK8sOpenAIHugging FaceLangChainSemantic KernelLLMsembeddingsvector databasesRAGCI/CD

Hard Skills

Soft Skills

Cross-functional collaborationCommunicationProblem-solvingAnalytical thinkingTeam playerAdaptability

Industry & Role

Industry SaaS

Job Function Develop AI-driven backend services and productionize AI models in AWS environment

Role Subtype AI Engineer

Tech Domains JavaScript, Node.js, Amazon Web Services, Kubernetes, Docker, RESTful APIs

Keywords for Your Resume

AI EngineerSoftware EngineerNode.jsJavaScriptTypeScript.NET CoreC#AWSAmazon Web ServicesLambdaECSEKSAPI GatewayRESTful APIsMicroservicesDockerKubernetesK8sOpenAIHugging FaceLangChainSemantic KernelLLMsembeddingsvector databasesRAGCI/CD

Deal Breakers

Lack of 3-6 years software engineering experience, No hands-on AWS experience, Unwilling to work onsite in Pune

Apply for this Position →

Get matched to jobs like this

Luna finds roles that fit your skills and career goals — no endless scrolling required.

Create a Free Profile