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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Software Engineer -AI - **Company:** Manhattan Telecommunications Corporation LLC - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $150,000.0 - $165,000.0 - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Application Integration Architecture, Computing Platforms, Microsoft Azure, Cloud Computing, Software Quality, Code Review, Information Systems, Cursor, Distributed Systems, Python (Programming Language), PostgreSQL, Microsoft SQL Server, Network Connections, Node.Js, NoSQL, Productivity Software, Software Architecture, OpenAI, Service-Oriented Architecture, Software Engineering, SQL Databases, Software Technical Review, TypeScript, Workflow Management Systems, AI Infrastructure, Enterprise Application Integration, Pinecone, Google Cloud, Enterprise Software Applications, Cloud Platform System, Spring Cloud, GitHub Copilot, ReactJS, Large Language Models, Claude Code, Prompt Engineering, Llamaindex, Generative AI, Infrastructure as Code (IaC), Backend, Agentic-AI, Event Driven Architecture, Pgvector, Kubernetes, Information Technology, Apache Flink, Deployment Automation, Weaviate, Low-code, Apache Kafka, Machine Learning Operations, Front End Software Development, Api Design, NestJS, Restful APIs, Semantic Kernel, ChromaDB - **Published:** October 29, 2026 - **Apply:** https://www.careerbuilder.com/job-details/senior-software-engineer-ai-new-york-ny--cde9dea7-cd7e-4ae1-a45f-e05789a3c03f ## About the Role * Bachelor's degree in Computer Science, Software Engineering, Information Systems, or equivalent practical experience. * 5+ years of professional software engineering experience delivering enterprise-grade applications. * Strong expertise in: + TypeScript + JavaScript + Node.js + NestJS + React + Modern API development * Experience developing and deploying cloud-native applications in AWS, Azure, or GCP. * Strong understanding of software architecture, distributed systems, and enterprise integration patterns. * Demonstrated experience using AI-assisted development tools such as: + Claude Code + GitHub Copilot + Cursor + OpenAI tooling + Anthropic tooling + Similar AI engineering platforms * Experience integrating APIs, third-party services, and enterprise applications. * Strong analytical and problem-solving skills. * Excellent communication and stakeholder management abilities., * Experience building Generative AI applications and AI-powered enterprise solutions. * Knowledge of Large Language Models (LLMs), prompt engineering, model orchestration, and AI application architecture. * Experience with Retrieval-Augmented Generation (RAG) solutions. * Familiarity with AI frameworks such as: + LangChain + Semantic Kernel + LlamaIndex + OpenAI SDKs + Anthropic APIs * Experience with vector databases including Pinecone, Weaviate, Chroma, or PostgreSQL pgvector. * Experience developing AI agents, intelligent copilots, and conversational AI applications. * Knowledge of machine learning operations (MLOps) and AI infrastructure. * Experience with: + Kafka + Apache Airflow + Apache Flink + Event-driven architectures * Workflow orchestration expertise using Temporal.io, Conductor, or similar platforms. * Experience modernizing low-code, legacy, or monolithic enterprise systems. * Cloud certifications in AWS, Azure, Google Cloud, Kubernetes, or AI-focused cloud technologies. ## Description * Lead the development of AI-enabled applications utilizing Large Language Models (LLMs), Generative AI technologies, and intelligent automation frameworks. * Design and implement scalable AI-powered solutions including AI assistants, copilots, knowledge retrieval systems, workflow automation, and enterprise productivity applications. * Partner with AI coding platforms such as Claude Code, GitHub Copilot, Cursor, and emerging AI development tools to accelerate software delivery while maintaining engineering quality and architectural integrity. * Evaluate and implement AI development best practices, prompt engineering techniques, AI governance standards, and responsible AI methodologies. * Develop AI-enhanced workflows that improve developer productivity, software quality, testing efficiency, and operational effectiveness. Platform Modernization Leadership * Own the end-to-end modernization of a complex enterprise application ecosystem, migrating legacy technology platforms to modern cloud-native architectures. * Architect and execute module-by-module migration strategies while maintaining compatibility with existing Microsoft SQL Server environments. * Drive technical decision-making around platform architecture, scalability, maintainability, observability, and security. Full-Stack Application Development * Build and maintain modern applications utilizing: + TypeScript + Node.js + NestJS + React + Python + REST APIs + SQL and NoSQL databases * Create highly scalable front-end and back-end solutions supporting enterprise workloads and AI-enabled user experiences. * Design secure, performant APIs and service-oriented architectures. AI Workflow & Process Automation * Design and implement intelligent workflow orchestration solutions using Temporal.io and related workflow platforms. * Integrate AI decisioning into long-running enterprise processes, human task queues, automation frameworks, and approval workflows. * Identify opportunities to automate manual business processes through AI-powered technologies., * Design, deploy, and maintain cloud-native applications across AWS, Azure, and GCP environments. * Implement CI/CD pipelines, Infrastructure as Code (IaC), container orchestration, and automated deployment processes. * Optimize cloud infrastructure for performance, cost efficiency, and scalability. Engineering Excellence * Establish best practices for AI-assisted development, software architecture, testing, code quality, and security. * Conduct code reviews and technical design reviews. * Mentor engineers in modern AI-driven software development methodologies. * Serve as a technical leader driving innovation in AI-enabled engineering practices.