Senior Generative AI Research Engineer
NVIDIASalary not specified
Full Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
YesVisa
BiotechnologyIndustries
Requirements
Candidates should have 5+ years of experience in backend software development, preferably in a SaaS or startup environment, with a strong interest and professional experience in emerging Generative AI technologies. Practical experience with building scalable systems, ideally with Elixir/Phoenix, Go, Erlang, or Clojure, and experience with database technologies like PostgreSQL are required. Experience with GitHub and Slack for collaboration is also necessary, along with a proven record of learning new technologies and a readiness to upskill. Bonus points are given for frontend experience or experience with voice-based applications.
Responsibilities
The Senior Software Engineer will design and build LLM-powered applications, including agentic workflows and RAG systems, from ideation to deployment, focusing on scalable and robust architectures. Responsibilities include exploring and prototyping LLM applications, troubleshooting issues across the stack, leading the development of GenAI-powered features from idea to production, and serving as a thought leader in building AI-native applications.
Skills
Generative AI
Elixir
Phoenix
LLM
Agentic workflows
RAG systems
Voice interfaces
Scalable architectures
Observability
Continuous feedback loops
Product engineering
System design
Deployment
Async communication
Workera
AI-powered skills intelligence for workforce development
About Workera
Workera enhances workforce capabilities by providing AI-powered skills intelligence for large organizations. Its platform integrates with existing content resources to classify and measure skills with high precision, focusing on areas like data science and machine learning. This allows companies to deliver tailored development opportunities, ensuring employees receive appropriate training and mentorship. Workera generates revenue through subscription fees for its platform, which includes tools for skill assessment and benchmarking. The goal is to help organizations optimize their workforce's potential and become AI-ready, maintaining a competitive edge in the market.
Palo Alto, CaliforniaHeadquarters
2019Year Founded
$43.3MTotal Funding
SERIES_BCompany Stage
Enterprise Software, AI & Machine LearningIndustries
201-500Employees
Benefits
Unlimited PTO plus a week off between Christmas and New Year’s
Collegial atmosphere
Innovative environment
Full support for home offices
A culture of life-long learning supported up to $3,000 reimbursement for professional development
Working across cultural and geographical lines alongside our offices in different parts of the world
Being part of a world-class technical team that’s trying to make the world more meritocratic
Being part of a great cause to improve lives everywhere through artificial intelligence
Opportunity to own high-impact projects
Risks
Increased competition from platforms like Degreed and Coursera threatens market share.
Potential backlash over AI ethics in workforce assessments could impact reputation.
Economic downturns may reduce client spending on upskilling platforms.
Differentiation
Workera offers AI-driven mentorship at scale, enhancing workforce capabilities.
The platform provides adaptive assessments and personalized learning plans for precise upskilling.
Seamless integration with existing content stacks sets Workera apart from competitors.
Upsides
Workera's AI Mentor Sage revolutionizes enterprise learning with personalized guidance.
The company raised $23.5M in Series B funding to expand its offerings.
Partnership with Goodland Tech enhances talent programs in underserved communities.
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