Senior Software Engineer (AI/ML)

Location: Remote-friendly; preference for candidates within commuting distance of Buffalo, NY for occasional in-person collaboration. Travel may be required for industry events or strategic meetings.

Position Overview:

CoachMePlus is now hiring a full-stack Senior AI/ML Software Engineer to join our team in support of an exciting Department of War human performance platform product support initiative. The position will require a government security clearance to be processed, so US or Naturalized Citizenship is a requirement for consideration.

In this role, the Senior Engineer will leverage expertise in cloud-native solutions and modern web architectures to lead the integration of cutting-edge Artificial Intelligence (AI) and Machine Learning (ML) capabilities into our product suite.

The ideal candidate will combine strong traditional software engineering foundations (such as the PHP ecosystem, legacy/modern JavaScript frameworks, and robust CI/CD practices) with hands-on experience deploying generative AI models and intelligent orchestration workflows. This role is primarily focused on AI/ML integration and supporting backend software development, though full stack development experience is preferred.

Key Responsibilities:

AI/ML & Cloud Integration

• 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.

DevOps & Architecture

• 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.

Full-Stack Web Development

• 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.

Qualifications:

Core Engineering Requirements

• Experience: 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/ML Requirements & Preferences

• AI Integration: Demonstrated experience consuming, fine-tuning, or orchestrating Large Language Models (LLMs) within enterprise applications.
• AWS Bedrock (Preferred): Knowledge of AWS Bedrock is highly preferred, specifically utilizing its API to manage foundation models, implement Guardrails, or build agents.
• Data Pipelines: Experience managing vector embeddings, prompt engineering, or working with cloud-native NoSQL data stores for AI context management.

Compensation & Benefits:

• Salary Range: $150,000 - $175,000 annually
• Benefits Include:
  • Health insurance
  • Paid time off
  • Flexible work schedule
  • Parental leave
  • Professional development support
  • Work-from-home flexibility

Compensation

The base pay range for this role is $150,000 - $175,000 per year.