919 IT & Software Developer jobs in the US

Confidential jobs

Senior Software Engineer, AI Applications & Ops

$135,200 - 187,200
Confidential
Main Street 5601, Houston
$135,200 - 187,200
Company Size icon
Company Size
5k+
Company Type icon
Company Type
Services
Exp Level icon
Exp Level
Junior
Job Type icon
Job Type
Freelance / Contract
Language icon
Language
English
Visa sponsorship icon
Visa sponsorship
No

Requirements

Must:
- Senior-level software engineering experience in delivering complete production systems - Strong backend development skills in TypeScript/Node.js (mandatory) - Proficient in AWS, including fundamentals of networking and IAM for deploying production services - Experience in building and managing AI-powered applications, including LLM integration and orchestration - Security-focused mindset covering threat modeling, data handling, and auditability skills - Familiarity with observability tools such as OpenTelemetry, Datadog, or CloudWatch (preferred) - Possession of network/security credentials such as CCNP, CCNA Security, or relevant AWS Security certifications (advantageous) - Knowledge of Python for automation and AI tools (plus) - Some experience in DevOps practices like CI/CD and Infrastructure as Code (IaaC) with tools like CDK or Terraform (beneficial) - Understanding of React is helpful but not essential

Technologies

AI
CI/CD
CloudWatch
Datadog
LLM
OpenTelemetry

Responsibilities

- Design and implement internal AI-driven services and tools, including assistants and workflow automations - Develop orchestration patterns for AI workflows involving pipelines and agent interactions - Take ownership of backend architecture and its implementation primarily using TypeScript/Node.js - Drive the selection and evaluation of models focusing on quality, latency, cost, and safety while managing rollouts and rollbacks - Establish prompt/config/versioning practices alongside continuous model evaluation for AI behavior monitoring - Build operational readiness through metrics, alerts, runbooks, and incident response strategies - Implement security controls throughout the AI stack, including identity access management and data encryption - Automate security workflows and collaborate on strengthening network security standards - Apply secure-by-design methodologies for internal AI systems to ensure data minimization and controlled access - Build and manage AWS workloads using practical DevOps methodologies while securely integrating AI services - Collaborate with our internal AWS Cloud Engineering team for deeper involvement in cloud engineering tasks

Description


We are a consulting firm dedicated to serving our oil & gas clients and are currently looking for a senior-level engineer to develop and operate internal AI-enabled applications and automation in a dynamic setting. The role centers around AI application development, orchestration, and AI Ops/LLMOps. We emphasize a security-first approach to delivery and aim to ensure that our operations are reliable and cost-effective. This role offers flexibility to work in a hybrid model from our office in Houston, TX, with a potential start as a one-month contract that could extend based on business needs. We offer a competitive pay rate ranging from $65 to $90 per hour along with the possibility of flexible scheduling for dedicated candidates.
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You can find Machine Learning Engineer salaries in the United States here.

How many Machine Learning Engineer jobs are in the United States?

Currently, there are 919 ML, AI openings. Check also: TensorFlow jobs, Python jobs, Computer-Vision jobs - all with salary brackets.

Is the US a good place for Machine Learning Engineers?

The US is one of the best countries to work as a Machine Learning Engineer. It has a vibrant startup community, growing tech hubs and, most important: lots of interesting jobs for people who work in tech.

Which companies are hiring for Machine Learning Engineer jobs in the United States?

Snaplii, Nurse Next Door, LYNKED Inc., D3 Security Management Systems, DataAnnotation, Digital Global Connectors, Tyler Technologies among others, are currently hiring for ML, AI roles in the United States.

The company with most openings is Jobot as they are hiring for 196 different Machine Learning Engineer jobs in the United States. They are probably quite committed to find good Machine Learning Engineers.