Middle/Senior Typescript/Node.js Developer with AI experience (AdTech)

Sigma Software; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Sigma Software is seeking a Middle/Senior AI & Back-End Developer to transform a global AdTech product into a modern AI-enabled ecosystem. This remote-friendly role leverages cloud-native and AI technologies to build a Platform-First architecture with reusable microservices, serverless infrastructure, and intelligent automation.

You will work on AI integrations, cloud platforms, and scalable distributed systems with an international team.

Qualifications

• 7+ years of commercial Back-end development experience.
• Strong hands-on TypeScript and Node.js proficiency.
• Experience building API-first microservice architectures.
• Practical AI service and LLM API integration experience.
• Hands-on AWS serverless tech: Lambda, API Gateway, DynamoDB, EventBridge.
• Understanding of RESTful and GraphQL APIs.
• Knowledge of prompt engineering and AI integration approaches.
• Multi-tenant data isolation concepts.
• Interest in AdTech, automation, and AI-driven optimization.
• Upper-Intermediate+ English level.

Responsibilities

• Develop and maintain high-performance back-end microservices and AI-enabled services.
• Design, implement, and integrate AI and LLM-powered platform features.
• Build scalable serverless solutions using AWS Lambda, API Gateway, DynamoDB, and EventBridge.
• Collaborate on API-first architecture and OpenAPI specifications.
• Ensure tenant data isolation and compliance with AdTech data models.
• Contribute to reusable libraries, AI integration patterns, and standards.
• Participate in code reviews focusing on performance and reliability.
• Translate product and AI requirements into scalable solutions.
• Support platform transformation toward automation and reusability.
• Engage in continuous improvement and technical decision-making.

Skills

TypeScript

Node.js

API-first

AI integration

LLM APIs

REST APIs

GraphQL

Multi-tenant

Prompt engineering

English Proficiency

Tools

AWS Lambda

API Gateway

DynamoDB

EventBridge

Terraform

CloudFormation

OpenAI APIs

Vector databases

Job description

Are you passionate about building intelligent, scalable, and high-performance platforms powered by AI technologies? We are looking for a Middle/Senior AI & Back-End Developer to join Sigma Software and contribute to the transformation of a global AdTech product into a modern AI-enabled ecosystem.

In this remote-friendly role, you will work with cutting-edge cloud-native and AI technologies, helping shape a Platform-First architecture built around reusable microservices, serverless infrastructure, and intelligent automation capabilities.

We at Sigma Software value engineering excellence, innovation, and collaboration. You will have an opportunity to work on a product trusted by globally recognized publishers while growing your expertise in AI integrations, cloud platforms, and scalable distributed systems.

Responsibilities & Qualifications

• Develop and maintain high-performance Back-end microservices and AI-enabled services using TypeScript and Node.js
• Design, implement, and integrate AI and LLM-powered platform features
• Build scalable serverless solutions using AWS Lambda, API Gateway, DynamoDB, and EventBridge
• Collaborate with cross-functional teams on API-first architecture and OpenAPI specifications
• Ensure tenant data isolation and compliance with established AdTech data models
• Contribute to reusable libraries, templates, AI integration patterns, and engineering standards
• Participate in code reviews focused on performance, reliability, observability, and service quality
• Translate product and AI feature requirements into scalable technical solutions
• Support the platform transformation toward automation, standardization, and intelligent reusability
• Contribute to continuous improvement initiatives and technical decision-making processes
• 7+ years of commercial experience as a Back-end Developer
• Strong hands-on experience with TypeScript and Node.js
• Experience building API-first microservice architectures
• Practical experience integrating AI services, LLM APIs, or AI-assisted workflows
• Hands-on experience with AWS serverless technologies including Lambda, API Gateway, DynamoDB, and EventBridge
• Understanding of RESTful and GraphQL APIs
• Knowledge of prompt engineering concepts and AI integration approaches
• Understanding of multi-tenant architectures and logical data isolation principles
• Interest in AdTech products, automation, and AI-driven optimization
• Upper-Intermediate or higher English level

WILL BE A PLUS

• Experience with ML and AI experimentation projects
• Exposure to recommendation systems or data intelligence platforms
• Experience working with vector databases
• Familiarity with Infrastructure as Code tools such as Terraform or CloudFormation
• Understanding of observability and monitoring practices in distributed systems
• Experience working with scalable cloud-native architectures

PERSONAL PROFILE

• Strong analytical and problem-solving skills
• Proactive and ownership-driven mindset
• Passion for modern Back-end engineering and AI technologies
• Ability to collaborate effectively within distributed international teams
• Interest in innovation, experimentation, and continuous learning
• Strong communication skills and attention to engineering quality

CUSTOMER

Our Customer is a Sweden-based AdTech company specializing in advanced self-serve advertising platforms that automate direct transactions between advertisers and premium global publishers. Their solutions improve transparency and operational efficiency in digital advertising and are trusted by globally recognized brands such as TripAdvisor, Bloomberg, The Washington Post, Opera, and Dow Jones. The company processes millions of advertising transactions worldwide and actively invests in AI-driven automation and intelligent data capabilities.

PROJECT

The project focuses on the strategic transformation of an existing AdTech ecosystem toward a Platform-First, AI-enabled architecture. The Customer is transitioning from monolithic and client-specific implementations into a scalable, API-driven, multi-tenant ecosystem powered by reusable microservices and intelligent services.

The team is building modern cloud-native solutions using AWS serverless technologies while introducing AI-assisted automation, recommendation systems, workflow optimization, data enrichment, and LLM-powered capabilities across the advertising lifecycle.

Key Technologies: TypeScript, Node.js, AWS Lambda, API Gateway, DynamoDB, EventBridge, OpenAI APIs, GraphQL, RESTful APIs, Terraform, CloudFormation, Vector Databases