What are the responsibilities and job description for the AI Software Engineering Manager position at Talener?
We are seeking an AI Software Engineering Manager to lead a high-impact team building a next-generation, greenfield AI platform within the education technology space. This platform will serve as a unifying layer across a large ecosystem of digital learning products, supporting millions of users at scale. This is a full-time position based in the U.S. with a hybrid schedule in Northern New Jersey. The ideal candidate brings a strong combination of hands-on technical expertise in AI/LLM systems and proven experience leading engineering teams in a SaaS environment. U.S. work authorization is required. No visa sponsorship is available at this time.
Job Title: AI Software Engineering Manager (LLM / Platform)
Location: Hybrid (Hoboken, NJ - 2-3 days onsite)
Responsibilities
Job Title: AI Software Engineering Manager (LLM / Platform)
Location: Hybrid (Hoboken, NJ - 2-3 days onsite)
Responsibilities
- Lead and manage a cross-functional engineering team responsible for building and scaling a greenfield AI platform
- Balance hands-on development (~30%) with leadership responsibilities, including system design, roadmap planning, and stakeholder management
- Drive the development of agentic AI systems and LLM-powered applications within a cloud-native architecture
- Collaborate closely with product, design, and executive stakeholders to define and deliver on technical strategy
- Mentor and grow engineering talent, including managing offshore team members and contributing to future hiring efforts
- Establish engineering best practices and ensure successful delivery of high-quality, scalable software solutions
- Oversee sprint planning, execution, and team performance within an agile environment
- 5-10 years of software engineering experience, with 4-5 years in a people management or engineering leadership role
- Strong backend engineering experience with Python as a primary language
- Hands-on experience building and deploying AI/LLM-based systems in production, including familiarity with agentic frameworks such as LangChain
- Strong understanding of modern cloud environments, particularly AWS
- Proven experience managing engineering teams (not solely as a technical lead)
- Background in SaaS environments, either B2B or large-scale B2C platforms
- Ability to balance technical depth with leadership, communication, and execution
- Strong communication skills and a collaborative, low-ego leadership style
- Bachelor’s degree in Computer Science or a related field is preferred
- Experience managing distributed or offshore teams
- Familiarity with scaling engineering teams from contractor-heavy to full-time structures
- Exposure to large-scale, user-facing platforms with high traffic volumes
- Base Salary: $190,000 - $200,000
- Bonus: 15% annual performance bonus
- Hybrid role requiring 2-3 days per week onsite in Hoboken, NJ
- Must be authorized to work in the United States — no visa sponsorship available
- Opportunity to lead development of a highly visible, greenfield AI platform with enterprise-wide impact
- Team operates in a collaborative, flat structure with standard business hours
Salary : $190,000 - $200,000