What are the responsibilities and job description for the Senior Software Engineer (LLM) position at Motion Recruitment?
A privately funded AI startup that is leveraging LLMs to streamline work flows and proposal approvals for US Government Agencies is hiring for a Senior Software Engineer to join their team.
The startup has reached several million in annual recurring revenue within the last 2 years is hiring for several full stack engineers to the team. This position is full life cycle development where you will be owning your code from design, implementation and deployment. In this role you you will be building back end APIs, front end web applications, and working with LLMs to design system architecture leveraging these AI models. LLM is experience is not a requirement and is a huge plus.
The position requires US Citizenship, the ability to receive a security clearance, but a clearance is not required to start in this role. Having an active clearance is a huge plus. The role is 100% remote for the Eastern Time Zone.
Required Skills & Experience
Tech Breakdown
The startup has reached several million in annual recurring revenue within the last 2 years is hiring for several full stack engineers to the team. This position is full life cycle development where you will be owning your code from design, implementation and deployment. In this role you you will be building back end APIs, front end web applications, and working with LLMs to design system architecture leveraging these AI models. LLM is experience is not a requirement and is a huge plus.
The position requires US Citizenship, the ability to receive a security clearance, but a clearance is not required to start in this role. Having an active clearance is a huge plus. The role is 100% remote for the Eastern Time Zone.
Required Skills & Experience
- US Citizenship
- Living in Eastern Time Zone
- Experience with Python
- Experience with TypeScript
- Experience with cloud technologies (AWS, GCP, or Azure)
- Experience in startup environments
- Experience with Large Language Models (LLM)
- Experience with Natural Language Processing (NLP)
Tech Breakdown
- 70% Back End Engineering
- 30% Front End Engineering
- 25% Team Collaboration
- 25% System Design and Architecture
- 50% Hands-on Software Development
- Equity
- 100% of Monthly Health Premiums Covered
- Unlimited PTO
- 401(k)
- Monthly Wifi / Cell Phone reimbursement
- Monthly Wellness Stipend
- 3-4 months Parental Leave