CoachMePlus - Senior Software Engineer (AI/ML)

43North•Buffalo, NY

20h•$150,000 - $175,000•Remote

About The Position

CoachMePlus is seeking a full-stack Senior AI/ML Software Engineer to join their team in support of a Department of War human performance platform product support initiative. This role requires a government security clearance, making US or Naturalized Citizenship a prerequisite. The Senior Engineer will utilize expertise in cloud-native solutions and modern web architectures to lead the integration of AI and ML capabilities into the product suite. The ideal candidate will possess strong traditional software engineering foundations (PHP, JavaScript frameworks, CI/CD) combined with hands-on experience deploying generative AI models and intelligent orchestration workflows. The role focuses on AI/ML integration and backend development, with full-stack experience being preferred.

Requirements

8–10 years of professional software development experience.
Frontend: React, React Native, Polymer, JavaScript, HTML5, CSS3.
Backend & Services: Strong proficiency in PHP 8.x (Symfony) and RESTful APIs, MySQL
Cloud & DevOps: Deep familiarity with AWS (EC2, RDS, S3, Lambda, API Gateway, Cognito, DynamoDB), Infrastructure-as-Code tools (Terraform), Git SCM and Jenkins CI.
Security: Familiarity and experience working in secure environments, particularly those constrained by federal and/or Department of War cybersecurity requirements.
AI Integration: Demonstrated experience consuming, fine-tuning, or orchestrating Large Language Models (LLMs) within enterprise applications.
US or Naturalized Citizenship (required for security clearance processing).

Nice To Haves

AWS Bedrock knowledge is highly preferred, specifically utilizing its API to manage foundation models, implement Guardrails, or build agents.
Experience managing vector embeddings, prompt engineering, or working with cloud-native NoSQL data stores for AI context management.
Full stack development experience is preferred.
Candidates within commuting distance of Buffalo, NY for occasional in-person collaboration.

Responsibilities

Architect and deploy intelligent features using Cloud AI services, with a strong focus on building generative AI workflows, retrieval-augmented generation (RAG), and agentic pipelines.
Develop serverless backends (e.g., AWS Lambda, API Gateway) and microservices that interface seamlessly with foundational machine learning models.
Optimize data ingestion pipelines and database queries (SQL and NoSQL) to support context-rich AI prompts and high-performance inference.
Set up, maintain, and secure automated CI/CD pipelines using Jenkins CI or similar cloud-native tooling to support continuous deployment of both software and ML integrations.
Define technical requirements, break down tasks for complex engineering projects, and mentor junior developers on enterprise best practices.
Consolidate legacy processes and automate critical workflows to drastically reduce manual business workloads and cycle times.
Incorporate AI-driven features (such as predictive text, intelligent search, automated categorization, or voice interfaces) directly into user-facing web and mobile frontends to improve user experience.
Integrate AI/ML capabilities into existing PHP backend API.
Write and implement software tooling to develop a new build pipeline in parallel with existing legacy tools.
Provide thought leadership to architecture, design, and modernization approaches and activities.
Contribute to architecture decisions and long-term technical roadmap.
Organize work plans, estimate tasks, and deliver finished projects to meet important deadlines.