Senior Software Engineer -AI

United States·New Yorksenior

OtherSoftware EngineerSoftware Engineering

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Quick Summary

Overview

Requirements Summary

C# or other strongly-typed backend language experience. Data pipeline experience (Apache Airflow, Apache Flink, Kafka, or similar). Workflow/orchestration engine experience (Temporal.io, Conductor, or similar).

Technical Tools

airflowanthropicawsazurecsharpdockerfigmagcpjavascriptkafkakubernetesnestjspythonreactsqltypescriptci-cdcode-reviewmentoringnetworkingrest-apis

MetTel is a global communications solutions provider with the most complete suite of fully managed services that focus on secure connectivity, and network and mobility services. We simplify communications and networking for business and government agencies. Our customers include many of the Fortune 500, and Gartner recognizes us as an industry leader. We have the broadest portfolio of technology and integrated partnerships, as well as our private network, which we use to create tailored solutions design, deployment, and ongoing management, driving cost savings, efficiency, innovation, and the ability to focus on core objectives.

We believe that each team member is a key to the success and sustainability of the group. In order to achieve this, we offer an environment where all professionals can grow and develop their skills and competencies, collaborate with diverse professionals, share knowledge and enjoy a rewarding career.

Join our Bruin Software Engineering Team and help shape the future of AI-driven software development.

We are seeking an experienced Senior Software Engineer – AI & Platform Modernization to lead the transformation of critical enterprise applications while helping establish AI-native software engineering practices across the organization. This role combines full-stack software engineering, cloud architecture, and modern AI development methodologies to accelerate innovation and improve engineering productivity.

You will leverage advanced AI development tools such as Claude Code, GitHub Copilot, Cursor, OpenAI, Anthropic, and future AI engineering platforms to architect, develop, and modernize mission-critical applications. Beyond simply using AI tools, you will be instrumental in designing and implementing AI-powered software solutions, automating workflows, and integrating Large Language Models (LLMs) into enterprise products and business processes.

This is an ideal opportunity for engineers passionate about AI application development, Generative AI, intelligent automation, platform modernization, cloud-native architecture, and next-generation software engineering practices.

Responsibilities

~1 min read

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.

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.

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.

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.

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.

Requirements

~2 min read

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.

What We Offer

~2 min read

✓Build next-generation AI-powered enterprise software.

✓Work with cutting-edge AI development platforms and technologies.

✓Influence the adoption of AI engineering best practices across the organization.

✓Lead high-impact modernization initiatives with executive visibility.

✓Collaborate with talented engineers solving complex technical challenges at scale.

✓Shape the future of AI-enabled software development within a fast-growing technology organization.

Location & Eligibility

Where is the job

New York, United States

On-site at the office

Who can apply

Listed under

United States

About this job

Pay per year: $150,000–$165,000 a year; 16% below the $187,500 median for Software Engineer jobs on Jobera (7,011 salaries).
Who can apply: United States
Posted: 222 days ago
Employer: has 23 open jobs on Jobera.