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Full Time Subsea Engineer information

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$59.5K

$111.6K

$203K

How much do full time subsea engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for full time subsea engineer in the United States is $111,632.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,500.00 and $132,500.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Subsea Engineer vs Subsea Technician?

AspectFull Time Subsea EngineerSubsea Technician
CredentialsBachelor's degree in engineering or related field, certifications in subsea systemsTechnical diploma or associate degree, specialized subsea training
Work EnvironmentDesign, planning, and overseeing subsea systems, often in office and field sitesHands-on maintenance, installation, and troubleshooting on subsea equipment
Employer & IndustryOil & gas companies, engineering firms, offshore operatorsSubsea service providers, offshore oil & gas companies

Full Time Subsea Engineers focus on designing, planning, and managing subsea systems, requiring higher-level engineering credentials. Subsea Technicians perform hands-on installation and maintenance tasks, often with technical diplomas. Both roles are essential in offshore operations but differ in responsibilities and qualifications.

More about Full Time Subsea Engineer jobs
What are the most commonly searched types of Subsea Engineer jobs? The most popular types of Subsea Engineer jobs are:
What states have the most Full Time Subsea Engineer jobs? States with the most job openings for Full Time Subsea Engineer jobs include:
What job categories do people searching Full Time Subsea Engineer jobs look for? The top searched job categories for Full Time Subsea Engineer jobs are:
Full Time Subsea Engineer jobs near you
Infographic showing various Full Time Subsea Engineer job openings in the United States as of May 2026, with employment types broken down into 79% Full Time, and 21% Part Time. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $111,632 per year, or $53.7 per hour.

GEN AI Engineer

Nastech Global

Charlotte, NC • On-site

Full-time

Posted 24 days ago

Job description

Job Title: GEN AI Engineer

Location: Charlotte, NC (onsite)

Job Type: Full time

Job Description

Must Have Technical/Functional Skills
o Bachelors or Masters degree in Data Science, Computer Science, MIS ,related field, or equivalanet experience
o 10+ yrs of experience designing and developing AI solution architecture to scale
o Proven Hands-on experience in GenAI Ops-Operationalizing LLM and RAG applications in production
o Strong hands-on experience with the Langchain framework
o Experience specifically with the Open AI API, chat completions, embeddings,etc
o Have a solid awareness on TensorRT and VLLM implementation.
o Strong proficiency in python and data Science libraries(NumPy,Pandas,scikit-learn,PyTorch/TensorFlow)
o Proven experience applying guardrails and observability to LLM or RAG-powered applications.
o Experience with LLMs as Judges and SMLs for evaluation (attribution,adherence, bias, PII, etc)
o Hands-on experience with OpenShift(or Kubernetes) for containerized AL workloads.
o Experience measuring and optimizing inference latency.
Roles & Responsibilities
o Implement Guardrails and observability across RAG and LLM applications
o Setup GenAI Ops workflows to continuously monitor inference latency, throughput, quality and safety metrics.
o Define,track,and analyze RAG guardrail metrics using LLMs as Judges and SMLs(e.g. attribution, grounding,prompt injection,tone,PII leekage)
o Implement annotation,structured feedback loops,fine-tuning, and alignment methods to calibrate judge models
o Use langchain to orchestrate guardrail checks, manage prompt versioning and integrate judge model scoring workflows.
o Work with Openshift to deploy,scale and monitor containerized genAI services.
o Build observability dashboards and alerts(Grafana or equivalent) for AI reliability.
o Contribute to emerging evaluation and guardrails as autonomous AI workflows expand.