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(AI/ML) Member of Technical Staff

micro1
NAMER (Remote)
Full-time
AI tools:
AWS
LangChain
Applications go directly to the hiring team

Full Description

Job Title: Member of Technical Staff (AI Engineering)

Job Type: Full-Time

Location: Remote

Job Summary

Join our engineering team and help shape the future of recruiting technology—already trusted by almost every major AI Lab. You’ll work hands-on with Zara, our pioneering AI Recruiter model, to design, build, and scale next-generation systems that are redefining how companies identify and engage talent, while collaborating across disciplines to deliver cutting-edge solutions at the center of the AI revolution.

What You'll Do

* Architect and Develop Systems: Design, build, and deploy scalable AI models and infrastructure leveraging Python and AWS.

* Advance Multimodal AI: Develop and integrate advanced LLMs and multimodal systems (text, audio, video, and visual inputs) into core platforms.

* Collaborate Cross-Functionally: Partner with product, research, and engineering teams to translate requirements into robust technical solutions.

* API Frameworks: Build efficient APIs using LangChain and FastAPI to enhance system performance and interoperability.

* Research & Innovation: Stay at the forefront of AI advancements and drive adoption of cutting-edge multimodal AI technologies.

What We're Looking For

* Bachelor’s degree in Computer Science, Engineering, or related technical field.

* Proven experience in Python programming and building systems in AWS environments.

* Strong hands-on experience with LLMs, LangChain, and multimodal AI frameworks.

* Proficiency in developing APIs (FastAPI, Flask, or similar).

* Strong problem-solving skills with the ability to operate independently.

* Excellent communication skills, both written and verbal.

Preferred Qualifications

* Master’s degree or higher in a relevant technical field.

* Experience in technical leadership, mentoring, or guiding engineering teams.

* Contributions to open-source AI projects or published research.

* Familiarity with GPU programming and optimization for deep learning workloads.

Applications go to the hiring team directly