Senior Software Engineer – AI Platform Engineering

Expleo Group

USremote country$75k-$85k/yrPosted Jun 15, 2026
Posting intelligenceActively listedReposted 4×, possible evergreen/ghost posting

Skills

kubernetespythonazurecicdjavagooglecloudawsllmgoml

About the role

Overview:

Location: Remote (U.S.-Based)

Employment Type: Contract

Are you ready to shape the future of AI infrastructure? Trissential is partnering with an innovative client to find a Senior Software Engineer who thrives at the intersection of large-scale distributed systems and cutting-edge AI. This is your opportunity to build the backbone of next-generation AI platforms—where models, agents, and real-time intelligence come together at scale.

What’s in It for You?

High-Impact Work – Build the core runtimes powering AI models and autonomous agents across hybrid cloud environments

Cutting-Edge Tech Stack – Work with Kubernetes, LLMs, RAG architectures, and modern AI/ML pipelines

Platform Ownership – Design and influence scalable infrastructure and runtime architecture

Collaboration Culture – Partner with product, architecture, and data teams to accelerate AI innovation

Growth Opportunity – Mentor engineers and lead initiatives that shape future platform capabilities

Your Role & Responsibilities

Design and build scalable back-end services supporting AI-driven, data-centric applications

Architect high-performance runtimes for machine learning models and autonomous agents

Develop and manage hybrid-cloud infrastructure (AWS, Azure, GCP) with a multi-tenant design approach

Implement observability frameworks (logging, metrics, tracing) to ensure system reliability and performance

Lead and participate in DevOps, CI/CD, and Agile development processes

Collaborate with product managers, architects, and engineers to translate complex requirements into robust solutions

Conduct root cause analysis and troubleshoot complex distributed systems

Mentor junior engineers and contribute to cross-functional engineering excellence initiatives

Optimize inference workloads and implement scalable architectures such as RAG pipelines

Ensure adherence to coding standards, documentation, and best practices across the SDLC

Skills & Experience You Should Possess

5+ years of software engineering experience building scalable back-end systems

Strong programming experience in Python, Go, Java, or similar high-level languages

Hands-on expertise with Kubernetes (4+ years preferred) and container orchestration

Experience developing cloud-native applications in hybrid environments (AWS, Azure, GCP)

Solid understanding of AI/ML lifecycle, including LLM operations and inference optimization

Proven experience with distributed systems, scalability, and high-availability architectures

Strong knowledge of DevOps practices, CI/CD pipelines, and Agile methodologies

Experience implementing observability solutions (logs, metrics, tracing)

Excellent problem-solving, communication, and time management skills

Bonus Points If You Have:

Experience with RAG architectures and agent-based AI systems

Background in healthcare or regulated industry software development

Familiarity with data warehousing, big data systems, and analytics platforms

Knowledge of business intelligence tools and modern data ecosystems

Experience working with open-source technologies in large-scale environments

Education & Certifications You Need:

Bachelor’s Degree in Computer Science, Engineering, or related field (required)

Master’s Degree in a related field (preferred) Certifications in cloud platforms (AWS, Azure, GCP) are a plus

What We Offer

At Trissential, we prioritize innovation, growth, and collaboration. By joining our client’s team, you’ll work on transformative AI initiatives while being supported by a forward-thinking environment.

Competitive Compensation – $75–$85 per hour. Final compensation is determined based on skill alignment, years of experience, and fair, market-based rates by geography.

Comprehensive Benefits for you and your dependents – Medical, dental, vision, free tele-health, HSA with company contribution, life and disability insurance, and 401k with matching

Paid Time Off – Offers paid time away from work

Remote Flexibility – Work from anywhere within the U.S

Career Development – Access to training, certifications, and leadership opportunities

Innovative Work Environment – Build cutting-edge AI solutions alongside industry experts

Please Note: This role is only open to candidates authorized to work in the United States

Ready to be part of something exciting?

If you’re passionate about building scalable AI platforms and want to work on transformative technology that impacts real-world outcomes, this is your opportunity. Apply today and help drive the future of AI with Trissential!

Compensation

This AI Infrastructure Engineer role pays $75k-$85k/yr. Within typical range for ai infrastructure engineer roles in United States.

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