Software Engineer; Python/AI/LLMs
Job in
Hoboken, Hudson County, New Jersey, 07030, USA
Listed on 2026-08-25
Listing for:
Talener
Part Time
position Listed on 2026-08-25
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Backend Developer, Cloud Engineer - Software, Python
Job Description & How to Apply Below
Our client is seeking a Staff Software Engineer (Python/AI) to help drive the development of next-generation AI‑powered learning products. This is a highly technical, hands‑on role focused on agentic AI systems, LLM integration, and scalable platform development. The ideal candidate will have experience building production AI applications and a strong background in backend engineering, distributed systems, and modern cloud technologies.
Job Title:
Staff Software Engineer (AI / LLM Platform)
Salary: $160,000 – $190,000 Base + 15% Bonus
Location:
Hoboken, NJ (Hybrid | 3 Days Per Week Onsite)
- 8+ years of software engineering experience focused on scalable application development and system design.
- Hands‑on experience building and deploying AI/LLM‑powered applications in production environments.
- Experience developing agentic AI systems using frameworks such as Lang Chain, Lang Graph, CrewAI, Auto Gen, or similar.
- Strong experience with Large Language Models (LLMs), Prompt Engineering, and Retrieval‑Augmented Generation (RAG).
- Advanced Python development experience building AI workflows and backend services.
- Strong experience with Java and modern distributed application development.
- Hands‑on experience with React and modern front‑end development.
- Strong SQL and data modeling experience.
- Experience designing scalable APIs, distributed systems, and high‑performance web applications.
- Cloud experience with AWS and/or Azure.
- Experience leading technical design efforts and influencing the direction of complex software platforms.
- Experience with vector databases such as Pinecone, Weaviate, or similar technologies.
- Experience deploying cloud‑native AI applications at scale.
- AWS and/or Azure certifications.
- Experience in EdTech or learning technology environments.
- Bachelor's degree in Computer Science, Engineering, or a related technical field.
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