FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.

Research and Development Engineer
Vector Solutions. Build, test, and refine prototypes and features applying AI and machine learning models, including large language models, to Vector’s SaaS products .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI and machine learning model integration within SaaS products, with a strong foundation in programming languages like Python or JavaScript. Proficient in utilizing AI/ML frameworks and APIs, while effectively collaborating with cross-functional teams to ensure high-quality deliverables.
Highest-signal resume keywords
AI/ML Project ExperiencePython ProgrammingMachine Learning FrameworksSaaS Product DevelopmentVersion Control Systems
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI/ML Model IntegrationApplication Code MaintenanceData Preparation and LabelingExperiment ExecutionCode Review ParticipationMachine Learning ConceptsDebugging SkillsTechnical DocumentationPerformance MonitoringTask Prioritization
Soft Skills
Attention to DetailEffective CommunicationCollaboration SkillsAdaptabilityTime Management
Tools & Technologies
OpenAIHugging FaceTensorFlowPyTorchGit
Industry Keywords
SaaSAI ToolsMachine Learning APIsLarge Language ModelsProduction Applications
Tech Stack
Tools & technologiesJavaScriptPythonPyTorchTensorflow
About the role
Key responsibilities & impact- Build, test, and refine prototypes and features applying AI and machine learning models, including large language models, to Vector’s SaaS products
- Write, debug, and maintain application code integrating AI/ML APIs and services into existing product workflows
- Support data preparation, labeling, and pipeline tasks needed to train, fine-tune, or evaluate AI models
- Execute experiments designed by senior engineers, document results, and summarize findings for team review
- Collaborate with QA to test AI-driven features for accuracy, reliability, and performance before release
- Assist in monitoring deployed AI features for performance issues and escalate problems to senior engineers
- Contribute to internal documentation of AI workflows, model usage guidelines, and known limitations
- Participate in code reviews and incorporate feedback from senior engineers and technical leads
- Stay current on emerging AI tools and techniques relevant to assigned project work
- Perform other duties as assigned
Requirements
What you’ll need- Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field, or equivalent practical experience
- 5+ years of professional software development experience
- Hands-on experience with AI/ML-related projects
- Strong working knowledge of at least one modern programming language commonly used in AI/ML development, such as Python or JavaScript
- Solid understanding of machine learning concepts and practical experience with common AI/ML frameworks or APIs, such as OpenAI, Hugging Face, TensorFlow, or PyTorch
- Ability to take direction and requirements from senior engineers and R&D leadership and independently translate them into working, well-tested code
- Strong attention to detail and ability to test and validate technical work before hand-off
- Effective written and verbal communication skills for documenting work and collaborating with cross-functional teams
- Ability to manage time and prioritize tasks within a clearly defined project scope
- Familiarity with version control systems, such as Git
- Willingness to learn and adapt to new tools, frameworks, and AI techniques
- Preferred: Experience working with LLM APIs, such as OpenAI or Anthropic, or open-source ML frameworks
- Preferred: Experience in a SaaS product development environment
- Preferred: Prior experience integrating AI/ML capabilities into production applications
Benefits
Comp & perks- Comprehensive benefits package effective the first of the month after hire
- Matching 401(k) retirement plan
- Healthy work-life balance with flexible work arrangements and generous time off
- Generous referral incentive program
- Tuition Reimbursement Program
- Pet Insurance
- OnePass Gym/Wellness Discount Program
- Calm Health-Employee Membership
- Company social events
- Employee Resource Groups
- Philanthropic opportunities
- Friendly, open, and casual work environment