Staff Gen AI Engineer
Staff Gen AI Engineer
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1 Vacancy
Job Description
We are looking for a Staff Gen AI Engineer to join our Global Frontend Engineering team to build next generation of tools and products. All of our team members are strategic thinkers and conceptual problem solvers who make every decision an informed one. We value hard work accountability and collaboration and look for proven skills over big egos. Our team excels in working together and recognizing individual strengths and values each contributor as a key factor in successfully delivering a project. If you understand Yes and over No this is the team for you.
In this role you will play a crucial part in designing developing deploying and optimizing AIpowered tools for code/prototype generation using modern LLMs and associated technologies. You will build and maintain robust backend systems using Python and FastAPI ensuring scalability security and performance for enterpriselevel GenAI applications. Additionally you will leverage advanced techniques such as prompt engineering retrievalaugmented generation (RAG) and agentbased architectures. Collaborating with crossfunctional teams you will need to stay updated with the latest advancements in the generative AI space to integrate best practices and innovative solutions into our projects.
Essential Qualifications:
Solid experience in designing and building production grade enterpriselevel full stack GenAI applications ensuring scalability reliability security and performance.
- Strong proficiency with Python FastAPI and PostgreSQL for backend development.
- Solid understanding of web technologies(HTMLCSS JavaScript) and one or more Frontend frameworks like ReactJs.
- Solid understanding of Large Language Models (OpenAI Claude etc. AI agents and orchestration observability frameworks (e.g. LangGraph LangSmith).
- Experience with techniques such as Fine tuning LLMs prompt engineering retrievalaugmented generation (RAG) and embedding techniques.
- Experience with vector databases (e.g. Pinecone ChromaDB) and embedding models Experience with containerization technologies like Docker and Kubernetes
- Familiarity with Vibe coding tools such as Bolt Lovable V0
- Experience with working Frontend Design Systems will be a big plus.
- Background in Data Science is a big plus
- Strong problemsolving skills and the ability to tackle complex technical challenges.
- Excellent communication skills to work effectively with crossfunctional teams.
- Ability to stay updated with the latest advancements in the generative AI field.
- Strong understanding of software engineering principles and best practices
- Focus on creating userfriendly and intuitive solutions that enhance user experience.
Role responsibilities:
- Design build and deploy scalable secure and highperformance complex AI systems using generative AIbased tools and stacks for rapid code/prototype generation.
- Design develop and maintain robust backend systems using Python and FastAPI.
- Leverage your solid understanding of Large Language Models (LLMs) AI agents and orchestration frameworks (e.g. LangGraph) to enhance our AI capabilities.
- Apply prompt optimization strategies and techniques to improve AI model outputs.
- Utilize techniques such as prompt engineering retrievalaugmented generation (RAG) and embedding techniques to develop innovative AI solutions.
- Build evaluation frameworks to measure model performance and ensure quality for production use
- Design and manage efficient database systems for storing and retrieving data.
- Use containerization technologies like Docker and Kubernetes to deploy and manage applications.
- Stay uptodate with the current engineering landscape in the generative AI space and integrate best practices into our solutions.
This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager.
Relocation assistance is not available for this role
Qualifications :
Basic Qualifications
5 or more years of relevant work experience with a Bachelors Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters MBA JD MD) or 0 years of work experience with a PhD
Preferred Qualifications
- 6 or more years of work experience with a Bachelors Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters MBA JD MD) or up to 3 years of relevant experience with a PhD
- BS in Computer Science or a related field plus 10 years of related experience or any combination of education and experience providing an equivalent background
- 2 years of experience leading software engineering teams and mentoring developers
- Handson engineering experience architecting enterprisegrade Gen AI applications
Additional Information :
Work Hours: Varies upon the needs of the department.
Travel Requirements: This position requires travel 510 of the time.
Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk communicate in person and by telephone frequently operate standard office equipment such as telephones and computers.
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race color religion sex national origin sexual orientation gender identity disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law including the requirements of Article 49 of the San Francisco Police Code.
U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 124700.00 to 180650.00 USD per year which may include potential sales incentive payments (if applicable). Salary may vary depending on jobrelated factors which may include knowledge skills experience and location. In addition this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical Dental Vision 401 (k) FSA/HSA Life Insurance Paid Time Off and Wellness Program.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
