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Open nowFirst seen 2 days ago

XTN-DD64732 | AI + DATA ENGINEER

KMC Solutions Inc1,594 open roles

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Your applicationOpen nowXTN-DD64732 | AI + DATA ENGINEERKMC Solutions Inc

  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 KMC Solutions Inc'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.

11.8% of postings close within 7 days. Measured by our own scanner across the market. KMC Solutions Inc postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.5%14 days
  5. 35.5%30 days
  6. 45.1%60 days
This job: first seen 2 days ago

KMC Solutions Inc median: 1 days open

The posting

We’re looking for a passionate AI Engineer to join our growing tech team. In this role, you’ll design, build, and deploy advanced AI solutions that power healthcare insights, recruiter automation, and personalized digital experiences. You’ll work hands-on with LLMs, machine learning models, and scalable data pipelines—collaborating closely with our Head of Engineering to bring innovative ideas into production. If you thrive in fast-paced environments and love solving complex problems with real-world impact, we’d love to have you on board.

  • Health Insurance/HMO
  • Enjoy unlimited MadMax Coffee
  • Diverse learning & growth opportunities
  • Accessible Cloud HR platform (Sprout)
  • Above standard leaves
  • Design and develop AI-driven modules for healthcare professional (HCP) targeting, clustering, and lead scoring.
  • Build and deploy LLM-based recruiter agents utilizing LangChain and RAG (Retrieval-Augmented Generation) pipelines.
  • Train and fine-tune machine learning models for content personalization, CME (Continuing Medical Education) recommendations, and second-opinion chatbots.
  • Develop and maintain data pipelines and feature stores to support robust and scalable AI infrastructure.
  • Collaborate with the Head of Engineering and cross-functional teams to operationalize AI services in production environments.
  • 3–6 years of professional experience in AI engineering, machine learning, or related fields.
  • Proficiency in Python, PyTorch/TensorFlow, FastAPI, LangChain, and Vector Databases (e.g., Pinecone, FAISS).
  • Hands-on experience with ML Ops, model deployment, and data pipeline orchestration.
  • Exposure to healthcare or market research datasets is preferred.
  • Prior experience in a startup environment with a strong builder mindset is an advantage.
  • Must possess hands-on coding ability; this is a non-negotiable requirement.
  • Demonstrated ownership, adaptability, and the ability to work effectively in lean, fast-paced teams.

.

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