Sr. AI Developer, Engineering

The Blue Venture Fund

Chicago (IL)

On-site

USD 140,000 - 190,000

Full time

14 days+

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Job summary

The Blue Venture Fund seeks an experienced AI Engineer to design and deploy enterprise-grade AI solutions for pharmaceutical and healthcare marketing operations. You will lead technical discovery with clients and translate business requirements into scalable AI workflows and architectures.

Candidates should have a Bachelor's degree in Computer Science or related field and 9+ years of software engineering experience, with strong Python proficiency and hands-on work with generative AI, cloud

Qualifications

  • Bachelor's degree in Computer Science or a related field is required.
  • Over 9 years of software engineering experience is required.
  • Proficiency in Python and experience with generative AI technologies, cloud infrastructure, and enterprise integrations are required.

Responsibilities

  • Design and deploy enterprise-grade AI solutions and integrations to accelerate pharmaceutical and healthcare marketing operations.
  • Lead technical discovery with clients and translate business requirements into scalable AI workflows and architectures.
  • Collaborate with stakeholders to ensure robust, scalable, and secure AI implementations.

Skills

Python
Generative AI
Large Language Models
RAG
Solution Architecture
API Design
Cloud-Native Architecture
Google Cloud Platform
Kubernetes
Docker
CI/CD
Prompt Engineering
Vector Databases
Agent Orchestration
Enterprise Integration
Data Pipelines

Education

Bachelor's degree in Computer Science or related field

Job description

The role involves designing and deploying enterprise-grade AI solutions and integrations to accelerate pharmaceutical and healthcare marketing operations. The engineer will lead technical discovery with clients and translate business requirements into scalable AI workflows and architectures.

Requirements

Candidates need a Bachelor's degree in Computer Science or a related field with over 9 years of software engineering experience. Proficiency in Python and experience with generative AI technologies, cloud infrastructure, and enterprise integrations are required.

Key Skills
  • Python
  • Generative AI
  • Large Language Models
  • RAG
  • Solution Architecture
  • API Design
  • Cloud-Native Architecture
  • Google Cloud Platform
  • Kubernetes
  • Docker
  • CI/CD
  • Prompt Engineering
  • Vector Databases
  • Agent Orchestration
  • Enterprise Integration
  • Data Pipelines
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