Engineering Tech Lead

Job Title: Engineering Tech Lead

Location: Redwood City, CA, USA

Employment Type: Full time, Onsite

Salary Range: $140,000 to $190,000 USD

About Gruve:

Gruve is an innovative Software Services startup dedicated to empowering Enterprise Customers in managing their Data Life Cycle. We specialize in Cyber Security, Customer Experience, Infrastructure, and advanced technologies such as Machine Learning and Artificial Intelligence. Our mission is to assist our customers in their business strategies utilizing their data to make more intelligent decisions. As a well-funded early-stage startup, Gruve offers a dynamic environment with strong customer and partner networks.

Why Gruve:

At Gruve, we foster a culture of innovation, collaboration, and continuous learning. We are committed to building a diverse and inclusive workplace where everyone can thrive and contribute their best work. If you're passionate about technology and eager to make an impact, we'd love to hear from you.

Gruve is an equal opportunity employer. We welcome applicants from all backgrounds and thank all who apply; however, only those selected for an interview will be contacted.

Position Summary:

We are seeking a talented Engineer to join our AI team. You will technically lead experienced software and machine learning engineers to develop, test, and deploy AI-based solutions, with a primary focus on large language models and other machine learning applications. This is an excellent opportunity to apply your software engineering skills in a dynamic, real-world environment and gain hands-on experience in cutting-edge AI technology.

• Design and implement software solutions that power machine learning models, particularly in LLMs.
• Create robust data pipelines, handling data preprocessing, transformation, and integration for machine learning projects.
• Collaborate with the engineering team to build and optimize machine learning models, particularly LLMs, that address client-specific challenges.
• Partner with cross-functional teams, including business stakeholders, data engineers, and solutions architects to gather requirements and evaluate technical feasibility.
• Design and implement a scale infrastructure for developing and deploying GenAI solutions.
• Support model deployment and API integration to ensure interaction with existing enterprise systems.

Basic Qualifications:

• A master's degree or PhD in Computer Science, Data Science, Engineering, or a related field.
• Experience: 8-12 Years
• Strong programming skills in Python and Java
• Good understanding of machine learning fundamentals
• Hands-on experience with Python and common ML libraries (e.g., PyTorch, TensorFlow, scikit-learn)
• Familiar with frontend development and frameworks like React
• BASIC knowledge of LLMs and transformer-based architectures is a plus

Preferred Qualifications:

• Excellent problem-solving skills and an eagerness to learn in a fast-paced environment
• Strong attention to detail and ability to communicate technical concepts clearly.

Equal Employment Opportunity:

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Compliance Statements:

• This job description is compliant with the Fair Labor Standards Act (FLSA) and Americans with Disabilities Act (ADA).
• The essential functions listed are necessary for ADA compliance.
• Salary ranges are provided in accordance with New York and California pay transparency laws.

Physical Demands:

• Ability to remain in a stationary position for extended periods.
• Occasionally move about the office to access files and office equipment.

Work Environment:

• This position may require working in a fast-paced environment.
• On-site presence is required.

Reasonable Accommodation Statement:

Gruve is committed to the full inclusion of all qualified individuals. As part of this commitment, Gruve will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact us.

Salary : $140,000 - $190,000