Augment Computing
AugmentCode is the only AI coding assistant built for professional software engineers working in large, production‑grade codebases. Our Context Engine understands your entire repo, enabling developers to stay in flow while writing, reviewing, and understanding code. Backed by top‑tier investors and trusted by engineering teams at leading tech companies, AugmentCode is redefining how modern software is built.
About the role We’re looking for an Applied AI Engineer to help bring cutting‑edge AI capabilities into the hands of developers. This is a hands‑on engineering role at the intersection of product, AI, and systems — focused on implementing and integrating LLM‑powered features that enhance developer experience and productivity.
You’ll collaborate with engineers, researchers, and designers to translate product needs into intuitive, reliable AI‑powered experiences. You’ll also play a key role in shaping how AI is used across our stack — from prompt design to system integration — while staying up to date on emerging AI capabilities.
Examples of what you could do:
Implement and integrate AI functionality into key product features
Craft and iterate on prompts to improve LLM reliability and usefulness
Build AI‑powered flows that feel intuitive and responsive to developers
Evaluate and test AI outputs to ensure performance and accuracy
Stay current with LLM tools, APIs, and best practices
You will…
Deliver reliable, high‑quality AI‑powered product experiences
Translate product needs into technical AI implementations
Tune and test prompts for real‑world use cases and developer workflows
Collaborate closely with engineers and researchers
Contribute across frontend, backend, and integration layers
Qualifications:
Experience with API integrations and service‑oriented architectures
Familiarity with prompt engineering for LLMs (e.g. OpenAI, Claude, Gemini)
Ability to evaluate and optimize AI outputs for reliability and quality
Strong problem‑solving instincts and attention to detail
Collaborative mindset and eagerness to learn
Bonus Points:
Experience building product features that incorporate LLMs
Understanding of best practices for AI reliability and safety
Background in frontend development or UX‑oriented implementation
Familiarity with cloud platforms (especially GCP)
Basic understanding of LLM behavior, strengths, and limitations
Employee Benefits:
Competitive salary & Equity
Tools Stipend
Health, Dental, Vision and Life Insurance
Short Term and Long Term Disability
Unlimited Paid Time Off + Holidays. We focus on trust and ownership, not time in the chair
Numerous company social events
This role is based in our Palo Alto HQ.
We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact your recruiter.
Augment Code is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance withAugment Code's Applicant Privacy Policy .
Pay Transparency Notice:
The actual base salary within the stated range will be based on a combination of factors such as an individual's skills, experience level, educational background, and other relevant job‑related considerations.
Annual Base Salary Range
$225,000 - $300,000 USD
#J-18808-Ljbffr
About the role We’re looking for an Applied AI Engineer to help bring cutting‑edge AI capabilities into the hands of developers. This is a hands‑on engineering role at the intersection of product, AI, and systems — focused on implementing and integrating LLM‑powered features that enhance developer experience and productivity.
You’ll collaborate with engineers, researchers, and designers to translate product needs into intuitive, reliable AI‑powered experiences. You’ll also play a key role in shaping how AI is used across our stack — from prompt design to system integration — while staying up to date on emerging AI capabilities.
Examples of what you could do:
Implement and integrate AI functionality into key product features
Craft and iterate on prompts to improve LLM reliability and usefulness
Build AI‑powered flows that feel intuitive and responsive to developers
Evaluate and test AI outputs to ensure performance and accuracy
Stay current with LLM tools, APIs, and best practices
You will…
Deliver reliable, high‑quality AI‑powered product experiences
Translate product needs into technical AI implementations
Tune and test prompts for real‑world use cases and developer workflows
Collaborate closely with engineers and researchers
Contribute across frontend, backend, and integration layers
Qualifications:
Experience with API integrations and service‑oriented architectures
Familiarity with prompt engineering for LLMs (e.g. OpenAI, Claude, Gemini)
Ability to evaluate and optimize AI outputs for reliability and quality
Strong problem‑solving instincts and attention to detail
Collaborative mindset and eagerness to learn
Bonus Points:
Experience building product features that incorporate LLMs
Understanding of best practices for AI reliability and safety
Background in frontend development or UX‑oriented implementation
Familiarity with cloud platforms (especially GCP)
Basic understanding of LLM behavior, strengths, and limitations
Employee Benefits:
Competitive salary & Equity
Tools Stipend
Health, Dental, Vision and Life Insurance
Short Term and Long Term Disability
Unlimited Paid Time Off + Holidays. We focus on trust and ownership, not time in the chair
Numerous company social events
This role is based in our Palo Alto HQ.
We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact your recruiter.
Augment Code is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance withAugment Code's Applicant Privacy Policy .
Pay Transparency Notice:
The actual base salary within the stated range will be based on a combination of factors such as an individual's skills, experience level, educational background, and other relevant job‑related considerations.
Annual Base Salary Range
$225,000 - $300,000 USD
#J-18808-Ljbffr