Senior GenAI Engineer

Overview

Remote
Depends on Experience
Contract - W2

Skills

GenAI
COBOL
java
Python
AI/ML
AI
Artificial Intelligence
Deep Learning
Generative Artificial Intelligence (AI)
Health Care
Healthcare
Use Cases
API
Machine Learning (ML)
Prototyping
PyTorch
OpenAI API
OpenAI

Job Details

Job Details
Position: Senior GenAI Engineer (1-2 openings)

Location: Remote

Duration: 6-12 months

Start Date: ASAP

Interview Process/Times: We have access to Interviewer's calendars for scheduling purposes. Can expect at least 2 conversations and either a live technical screen or a take-home "assessment"

Competition/Internal HR: Yes

Previous Manager call notes

  • Mindset is very important. Not just skillset. Self-motivated. No Scrum. No PMs. Get assigned problem and get to it.
  • They are looking for an initial 3 month role, but more than likely they will be extended past that. Manager really wants people who are willing to stay 1+ years as it can take that long for people to bed in.
  • They are part of the innovation lab, building prototype to solve issues that are discussed at the COI level or based on what they are seeing they come up with solution prototypes and bring them to the stakeholders to see if it could be beneficial. They work with a lot of emerging technologies. They also work with stakeholders to enable the early adoption of emerging technologies. Also scan the market to see what is happening right now.
  • GenAI is the most demanding space right now. They have a few employees working on this, but there are a lot of use cases coming in. The manager expects 80% of their work to revolves around this over the next 12-18 months.
  • They will be working on a legacy migration using GenAI as an initial project. They will be migrating from COBOL to Java or Python. 3 people are currently working on this. The prototype will be presented to the board by the end of this month.
  • No preference between Python or Java.
  • Prompt Engineering is also helpful.
  • Not necessary to have healthcare experience, but it is nice to have.
  • They don t need experience bringing models to production

Job Description

  • Skill sets: Ability to develop prototypes, PoCs, MVPs using one or more of the following,
  • AI/ML Knowledge: Strong foundation in AI, deep learning, and machine learning principles.
  • Programming Skills: Expertise in Python and tools like Hugging Face, Langchain, and OpenAI API.
  • Deep Learning Frameworks: Experience with TensorFlow, Keras, and PyTorch.
  • Cloud Platforms: Familiar with Google Model Garden, Amazon Bedrock, and Nvidia Nim.
  • Multi-Modal Data and AI Tools: Experience with multi-modal data and intelligent agent-based tools.
  • Mindset: Self-motivated individual with a passion for solving hard problems using AI/GenAI. Must have collaborative and an innovative mindset.
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