Among computer and information research scientists, AI is already used for a large share of the tasks. Measured exposure for computer and information research scientists: 34% (high).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

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About the job

AI Engineer

location

San Diego, California, USA

50 USD - 58 USD/hour

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Remote AI/ML Software Engineer, Generative AI

Are you passionate about building Generative AI systems that move beyond prototypes and create real business impact?

A leading healthcare technology company is hiring an experienced AI/ML Software Engineer to develop production-grade Generative AI applications, RAG platforms, intelligent agents, and document-processing pipelines. You will help transform complex engineering information into searchable, actionable knowledge used across technical and product teams.

What You'll Do

Build Generative AI applications using LLMs and modern AI frameworks.

Develop RAG pipelines, semantic search, and vector-based retrieval systems.

Create scalable backend services and APIs with Python and FastAPI.

Build AI agents and tool-calling workflows that connect to enterprise data sources.

Process unstructured content such as PDFs, images, tables, and technical documentation.

Deploy containerized AI applications on GCP using Cloud Run, GKE, and Docker.

Evaluate model performance and implement AI monitoring, security, and governance.

Work with engineering, quality, validation, and business teams to deliver practical AI solutions.

What We're Looking For

4+ years of software engineering and/or machine learning experience.

1 to 2+ years of hands-on Generative AI or LLM application development.

Strong Python development experience.

Production experience with Google Gemini and Vertex AI.

Experience building RAG pipelines, AI agents, and tool-calling systems.

Knowledge of vector databases, semantic search, and information retrieval.

Experience building REST APIs and microservices.

Experience with Docker and cloud-based application deployment.

Nice to Have

FastAPI, Flask, LangChain, LangSmith, or PyTorch.

Milvus, PgVector, Qdrant, or Redis.

Kubernetes, GKE, or Cloud Run.

Healthcare, medical device, life sciences, or regulated industry experience.

Experience with OpenAI, Claude, AWS Bedrock, React, Next.js, Streamlit, or Gradio.

Why Apply?

You'll join a team building advanced AI systems that support meaningful healthcare technology and engineering initiatives. This is an opportunity to work on modern LLM architectures, intelligent agents, enterprise RAG, and scalable AI applications in a fully remote environment.

Job Type & Location

This is a Contract position based out of San Diego, CA.

Pay and Benefits

The pay range for this position is $50.00 - $58.00/hr.

Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: Medical, dental & vision Critical Illness, Accident, and Hospital 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available Life Insurance (Voluntary Life & AD&D for the employee and dependents) Short and long-term disability Health Spending Account (HSA) Transportation benefits Employee Assistance Program Time Off/Leave (PTO, Vacation or Sick Leave)

Workplace Type

This is a fully remote position.

Application Deadline

This position is anticipated to close on Aug 25, 2026.