Talener
Staff Software Engineer (Python/AI/LLMs)
Skills
2 months ago
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Important information
Contract type:
Permanent
Salary:
$160,000 – $190,000 / year
Location:
Hoboken, NJ, USA
Work mode:
Onsite
Published on:
23 August 2026
What they need
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)
Required Skills & Experience
- 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 LangChain, LangGraph, CrewAI, AutoGen, 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.
Preferred Qualifications
- 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.
If interested in learning more, please apply directly or reach out to Ryan Dwyer at [email protected].
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