Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowFirst seen 34 hours ago

AI Engineer

Calqulate23 open roles

Where
San Diego, California, United States
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowAI EngineerCalqulate · San Diego, California, United States

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Calqulate's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: first seen 34 hours ago

The posting

AI / Machine Learning Engineer

San Diego, CA

In-office | Full-Time

About the Opportunity

Our client, a fast-growing AI solutions and advisory firm, is seeking an AI / Machine Learning Engineer to help design, build, and scale advanced AI systems powering real-world business applications.

This role is ideal for an engineer who combines deep machine learning expertise with hands-on experience deploying LLM–based solutions into production environments. You will play a key role in architecting intelligent systems that move beyond experimentation and deliver measurable operational value.

Role Summary

As a core member of the engineering team, you will design and implement AI-driven applications including retrieval-augmented systems, conversational agents, document intelligence solutions, and generative content tools. You will collaborate closely with product, data, and strategy teams to translate business objectives into scalable AI architectures.

The ideal candidate has strong experience working with leading commercial and open-source LLM ecosystems and understands how to optimize, evaluate, and productionize AI systems responsibly and efficiently.

Key Responsibilities

  • Design and deploy machine learning and LLM-based solutions across use cases such as document processing (OCR), RAG pipelines, AI agents, and generative applications.
  • Develop, test, and refine prompt strategies to improve output quality and alignment with business requirements.
  • Evaluate, fine-tune, and benchmark ML and language models using structured experimentation and performance metrics.
  • Build and maintain data pipelines for model training, evaluation, and deployment workflows.
  • Collaborate cross-functionally to integrate AI capabilities into client-facing platforms and internal tools.
  • Deploy models to production environments and monitor system performance, reliability, and cost efficiency.
  • Stay current with advancements in generative AI, deep learning, and emerging frameworks to continuously enhance system capabilities.

Required Qualifications

  • 5+ years of experience in AI/ML engineering or related roles.
  • Bachelors or Masters degree in Computer Science, Engineering, or a related technical discipline.
  • Hands-on experience working with major LLM platforms (commercial APIs and open-source models).
  • Strong background building retrieval-augmented generation systems, LLM pipelines, or agent-based architectures.
  • Proficiency in Python and experience with deep learning frameworks such as PyTorch (or equivalent).
  • Solid foundation in machine learning, neural networks, and natural language processing.
  • Experience evaluating model performance using appropriate validation and benchmarking techniques.
  • Experience working with relational databases (e.g., PostgreSQL) and modern data warehouse systems.
  • Strong analytical and problem-solving skills.
  • Ability to communicate effectively across technical and non-technical stakeholders.

Preferred Experience

  • Contributions to open-source AI projects or involvement in research communities.
  • Experience deploying AI systems on major cloud platforms (AWS, GCP, or Azure).
  • Familiarity with distributed data processing technologies (e.g., Spark or similar frameworks).
  • Exposure to domain applications in sectors such as financial services, healthcare, retail, or enterprise technology.

Why Consider This Opportunity?

  • Work on production-grade AI systems with real business impact.
  • Join a technically strong and execution-focused team.
  • Contribute to innovative applications of generative AI across industries.
  • Be part of a company scaling its applied AI capabilities nationally.
From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Calqulate's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Calqulate's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Calqulate's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.