2

Entry Level Ai Infrastructure Engineer Jobs in Connecticut

Within Bittensor we are among the largest decentralized AI infrastructure providers, operate the ... About the Role We're looking for a Software Engineer to join our engineering team at Yuma. You'll ...

... the infrastructure. * Documents system processes, workflows, and technical procedures ... Knowledge of modern programming languages, with emphasis on Python and related web application ...

AI Engineer

Hartford, CT · On-site +1

$1/hr

T is actively seeking AI Engineer for an immediate contract engagement with our government client ... infrastructure, integrations, and cloud services. · Utilize Git-based source control and ...

AI Software Developer

Westport, CT · On-site

$25 - $75/hr

We are hiring an AI Software Developer to: * Build applications and IT infrastructure for our agency and clients. * This is an hourly role with potential to turn full time. * Must have experience ...

DevOps Engineer

Shelton, CT · On-site

$53 - $72.50/hr

Develop and maintain Infrastructure-as-Code with Terraform to provision and manage cloud and hybrid ... Apply AI to DevOps workflows, operations, documentation, and governance, with appropriate review ...

DevOps Engineer

Norwalk, CT · On-site

$120 - $160/hr

Our infrastructure is a multi-account AWS Organization managed almost entirely as code--every ... Amazon Bedrock or other LLM API work--we build with Claude and are actively expanding internal AI ...

New

DevOps Engineer

Norwalk, CT · On-site

$120 - $180/hr

Our infrastructure is a multi-account AWS Organization managed almost entirely as code - every ... Amazon Bedrock or other LLM API work - we build with Claude and are actively expanding internal AI ...

New

next page

Showing results 1-20

Entry Level Ai Infrastructure Engineer information

What is the difference between Entry Level Ai Infrastructure Engineer vs Data Engineer?

AspectEntry Level Ai Infrastructure EngineerData Engineer
Required CredentialsBachelor's in CS, EE, or related; familiarity with AI toolsBachelor's in CS, Data Science, or related; experience with databases
Work EnvironmentAI/ML teams, cloud platforms, infrastructure setupData pipelines, database management, cloud services
Industry UsageTech companies, AI startups, research labsFinance, healthcare, tech firms, data-driven industries

Entry Level Ai Infrastructure Engineers focus on building and maintaining AI infrastructure, including cloud and hardware setups, while Data Engineers primarily develop data pipelines and manage data storage. Both roles require technical skills and often overlap in cloud environments, but they serve different core functions within data and AI projects.

What are the most commonly searched types of Ai Infrastructure Engineer jobs in Connecticut?

The most popular types of Ai Infrastructure Engineer jobs in Connecticut are:

What are popular job titles related to Entry Level Ai Infrastructure Engineer jobs in Connecticut?

For Entry Level Ai Infrastructure Engineer jobs in Connecticut, the most frequently searched job titles are:

What cities in Connecticut are hiring for Entry Level Ai Infrastructure Engineer jobs?

Cities in Connecticut with the most Entry Level Ai Infrastructure Engineer job openings:

Infographic showing various Entry Level Ai Infrastructure Engineer job openings in Connecticut as of August 2026, with employment types broken down into 82% Full Time, and 18% Contract. Highlights an 82% In-person, 9% Hybrid, and 9% Remote job distribution.

Full-time

Re-posted 23 days ago


Job description

About Yuma

Yuma invests in, builds, and scales infrastructure in the Bittensor ecosystem. Within Bittensor we are among the largest decentralized AI infrastructure providers, operate the largest investment fund, partner with large exchanges to provide asset services, and invest in and incubate other growing companies. We were founded in late 2024 and are continuously growing our business lines and product offerings.

About the Role

We're looking for a Software Engineer to join our engineering team at Yuma. You'll help design and scale the core systems that underpin our decentralized AI infrastructure and related products - from high-performance data pipelines to API services.

Responsibilities
  • Design, implement, and maintain scalable backend services and APIs.
  • Write clean, well-tested, and maintainable code.
  • Collaborate with cross-functional teams - including data, product, and infrastructure - to deliver high-quality features and systems.
  • Ensure software reliability through automated testing, CI/CD pipelines, and observability best practices.
  • Deploy and manage services in cloud environments
  • Optimize system performance, scalability, and maintainability.
  • Participate in code reviews, contribute to technical discussions, and help evolve our engineering culture and practices.
  • Support deployment, monitoring, and troubleshooting of live systems
Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, or related field, or equivalent practical experience
  • 3-8 years of professional experience as a backend engineer.
  • Strong proficiency in at least one modern programming language (Python, Java, JavaScript, Rust or Go)
  • Solid understanding of APIs, databases, and backend architecture.
  • Experience deploying, monitoring, and scaling applications in cloud environments (GCP, AWS, or Azure).
  • Familiarity with CI/CD tools and automated testing frameworks.
  • Understanding of containerization and orchestration (Docker, Kubernetes).
  • Working knowledge of relational and/or NoSQL databases.
  • Excellent communication skills and a collaborative mindset.
Nice to Have
  • Familiarity with blockchain or decentralized technologies, Polkadot, Parity, Substrate preferred)
  • Experience with AI/ML integrations or data-intensive systems
  • Exposure to containerization/orchestration tools such as Docker or Kubernetes
  • Prior experience in a startup or early-stage company