Generative AI Engineer
Brooksource
Philadelphia, United States of America
6 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
Junior Compensation
$ 62KJob location
Philadelphia, United States of America
Tech stack
Artificial Intelligence
C++
Cloud Computing
Distributed Systems
Github
Python
Software Engineering
Large Language Models
Generative AI
Information Technology
Machine Learning Operations
Virtual Agents
Programming Languages
Job description
We're looking for a Junior AI Engineer who is passionate about building the next generation of AI-driven systems. This role sits within the Connect organization and focuses on hands-on development of agentic AI solutions, infrastructure, and language model applications. This is a great opportunity for someone early in their career (about 1+ year experience) who is deeply engaged in AI/ML, experimentation, and building systems from the ground up.
What You'll Do (Day-to-Day)
- Design, build, and deploy AI-driven applications, with a strong focus on agentic systems
- Develop and support infrastructure for AI/ML workflows
- Work with and integrate large language models (LLMs) into scalable systems
- Contribute across both software engineering and systems/infra layers
- Collaborate with engineering leadership and stakeholders to prototype and deliver solutions
- Participate in live demos and technical walkthroughs to showcase your work
Requirements
Core Skills (Must-Have)
- Strong foundation in software development with exposure to AI/ML
- Experience or strong interest in agentic frameworks / autonomous AI systems (key differentiator)
- Familiarity with LLMs and language model integrations
- Experience building or supporting infrastructure for AI systems Blended skill set across software engineering and systems administration
- Proficiency in at least one programming language such as:
- Python (preferred)
- Go
- C++
Experience Level
- ~1 year of professional experience (or equivalent hands-on/project experience)
- Demonstrated passion for AI (personal projects, GitHub, research, etc.)
Nice to Have
- Technical or academic background in Computer Science, Engineering, or related field
- Prior exposure to distributed systems or cloud infrastructure