Staff Back End Engineer
Role details
Job location
Tech stack
Job description
- Act as a leader and steward of engineering best practices, helping to mentor other engineers and develop impactful solutions.
- Analyze and solve complex problems spanning multiple user personas and workflows
- Focus on building and scaling services and user facing web applications
- Build customer centric scalable and performant AI-driven applications and features
- Develop and maintain scalable data pipelines and ELT processes
- Build new data integrations based on established requirements
- Perform data analysis to investigate and resolve data issues
Requirements
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Experience - 8+ years of software engineering experience building precise and scalable distributed systems with best engineering practices
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Experience with Generative AI frameworks and tools (RAG, Langchain, Vector database and other emerging agentic frameworks).
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Prior experience delivering impactful Gen-AI products in production.
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Familiarity with AI/ML use cases such as content generation, summarization or natural language processing(NLP).
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Familiarity with integrating third-party AI APIs and services using platforms like OpenAI, Hugging Face, and Anthropic.
Education - Ideally looking for a B.A. / B.S. degree in relevant fields such as Computer Science or similar Engineering/Mathematics degrees
Technical aptitude - You're technologically savvy and can easily get up to speed on modern tech stacks (we use Java, Spring Boot, Microservices, AWS, Postgres, Kubernetes)
Ownership - The pride you put into every aspect of your work is unparalleled and undeniable
Superb communication - intentional dialogue is a superpower. You listen as well as you share your perspective with others.
Resilience - We're inspired by your unwavering determination to achieve success, no matter the adversity you face along way
Assurance - Your confidence is brilliant, yet ego-less. You possess a strong knowledge base, the ability to discover the unknown, and are open to differing perspectives.
Creative problem solving - Identifying the problem is simply not enough. You're instinctually creative with your approach in finding solutions to roadblocks.
Bonus Points - Prior experience steering AI model output using techniques such as prompt engineering, supervised finetuning, and reinforcement learning. San Francisco, CA salary range
Benefits & conditions
Attracting and retaining top-tier talent is a priority. We are proud of the culture we've built and are cognizant of the ever-changing professional landscape. Our dynamic offering of perks and benefits are tailored for you to feel your best while doing your best.
- Stunning, amenity-filled office spaces in Culver City, CA, San Francisco, CA, and Dallas, TX. Our offices are intentionally designed for comfort, collaboration, and productivity.
- Competitive pay and equity for eligible positions.
- Premium healthcare, dental, and vision insurance plans (HMO and PPO).
- 401k savings plan with a 4% match and immediate vesting.
- 16 week paid parental leave after one year of employment.
- Professional growth and development opportunities including an employee mobility program and an annual L&D budget allocation for each employee.
- Company perks program (includes discounts on pet insurance, fitness, cell phone plans, and travel, etc.).
- Financial guidance program (includes counseling on navigating debt, tracking personal spend, saving and planning goals, home-purchasing preparedness, etc.).
- One month work from anywhere policy (with the exception of a few countries).
Total compensation includes a competitive benefits package, along with equity in the form of Stock Options (ISOs) for eligible roles. For salaried positions, a salary offer will be determined by a number of factors including experience, skill level, internal pay equity, geographic location, and other relevant business considerations. We review all employee pay and compensation programs regularly to ensure fair, equitable, and competitive pay. At Altruist, we are committed to providing fair, equitable, and competitive compensation by leveraging market data to inform our pay bands. Base salaries will be reviewed at regular intervals throughout the year, typically in conjunction with performance review cycles. By evaluating compensation on a regular basis, we are able to reward high performance and ensure all employees have opportunities for growth.