Senior Software Engineer - AI Platform Engineering

Senior Software Engineer - AI Platform Engineering

Location: Remote (United States)

Duration: Contract

Pay Range: $75/hr-$80/hr.

Position Overview

We are seeking a Senior Software Engineer to support the design, development, and deployment of enterprise AI platforms and cloud-native infrastructure. The ideal candidate will have extensive experience building scalable distributed systems, AI-powered applications, and backend services supporting machine learning and generative AI workloads. This role requires strong expertise in Python, Kubernetes, cloud platforms, observability, and modern software engineering practices.

Key Responsibilities

• Design, develop, and maintain scalable AI platform services and backend infrastructure.
• Build cloud-native applications and microservices using Python, Go, Java, or similar technologies.
• Develop and support containerized applications running on Kubernetes across AWS, Azure, and GCP environments.
• Implement AI model serving, inference services, and distributed runtime platforms for machine learning and generative AI workloads.
• Support Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), and agent-based AI solutions.
• Develop and maintain observability solutions including monitoring, logging, metrics collection, alerting, and distributed tracing.
• Collaborate with architects, data engineers, AI engineers, and product teams to deliver production-grade solutions.
• Participate in code reviews, CI/CD processes, testing, deployment automation, and operational support.
• Optimize application performance, scalability, reliability, and security across hybrid-cloud environments.
• Support MLOps, LLMOps, and AI platform operational initiatives.

Required Qualifications

• 10+ years of software engineering experience building scalable distributed systems.
• Strong programming experience with Python and at least one additional language such as Go, Java, or C++.
• 4+ years of hands-on Kubernetes experience.
• Experience developing cloud-native applications and microservices architectures.
• Experience working with AWS, Azure, and/or Google Cloud Platform (GCP).
• Experience with AI/ML platforms, Generative AI, LLMs, and RAG architectures.
• Strong understanding of containerization technologies including Docker and Kubernetes.
• Experience implementing observability solutions, monitoring, logging, and performance optimization.
• Knowledge of CI/CD pipelines and modern software development methodologies.
• Experience working in Agile development environments.

Preferred Qualifications

• Experience with MLOps, LLMOps, and AgentOps platforms.
• Experience supporting enterprise AI infrastructure and model serving platforms.
• Healthcare technology experience, including Epic, HL7, FHIR, or HIPAA-compliant environments.
• Experience building large-scale AI and analytics platforms.
• Experience with hybrid-cloud and multi-cloud deployments.

Desired Technical Skills

• Python, Go, Java, C++
• Kubernetes, Docker
• AWS, Azure, GCP
• REST APIs, gRPC, Kafka
• Generative AI, LLMs, RAG
• MLOps, LLMOps, AgentOps
• CI/CD, Terraform
• Monitoring, Logging, Observability
• Distributed Systems and Microservices

This is an exciting opportunity to contribute to cutting-edge AI platform engineering initiatives and help build scalable infrastructure supporting enterprise-wide AI innovation.

#PHCNonClinicalZip

Pride Health offers eligible employee's comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, pet insurance and employee discounts with preferred vendors.

Equal Employment Opportunity

Pride Health is an equal opportunity employer. We do not discriminate on the basis of the race, religious creed, color, national origin, ancestry, physical disability, mental disability, reproductive health decision making, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other characteristic protected by applicable federal, state, or local law.

Fair Chance Employment

Pride Health is a Fair Chance employer. We consider all qualified applicants, including those with criminal histories, in a manner consistent with applicable state and local Fair Chance laws and ordinances, including, the California Fair Chance Act and all applicable local Fair Chance ordinances.

Accommodations

We are committed to providing reasonable accommodations to applicants and employees with disabilities. If you require a reasonable accommodation to participate in the application or interview process, or to perform the essential functions of this role, please contact us.

Only applicable for San Francisco Candidates: Under the San Francisco Lactation in the Workplace Ordinance, we will provide written notice of lactation accommodation rights, and this notice will automatically be given upon hiring, any inquiry of parental leave or lactation accommodation.

Only applicable for Kentucky positions: For this type of employment, state law requires a criminal record check as a condition of employment. This applies to direct care staff (Examples: RN, LPN, Nurse Aides, Therapists) referred to Kentucky nursing facilities, assisted living communities, or long-term care facilities, in accordance with KRS 216.793.