Related skills
python microservices prompt engineering llms rag๐ Description
- Design, build, and deploy AI-powered features for our claim synthesis product.
- Develop hybrid ML solutions that blend statistical models, LLMs, and RAG.
- Write clean, scalable code and optimize AI/ML systems in production.
- Collaborate with data labelers and SMEs to improve model outputs.
- Partner with Product teams to rapidly iterate on feedback.
- Translate cutting-edge AI research into production-grade solutions for live environments.
๐ฏ Requirements
- 3+ years of Python coding with modern best practices.
- At least 1 year deploying products powered by LLMs in fast-paced settings.
- Hands-on ML with LLMs, RAG, embeddings, and vector search.
- Proven ability to build and integrate API services within microservices.
- Strong skills evaluating LLM outputs to align with business outcomes.
- Prompt engineering and fine-tuning of large language models for domain apps.
๐ Benefits
- Compensation: base salary 175-225K USD, plus bonus and RSUs.
- Well-Being: Medical, dental, vision, disability, life insurance, and 401k matching.
- Home & Family: PTO, paid parental leave, flexible schedule for new parents.
- Office Life: Catered lunches, happy hours, pet-friendly spaces, and monthly stipend.
- Growth & Training: $1,000/year for professional development, tuition reimbursement opportunities.
- Sponsorship: We sponsor candidates in the U.S. for visa transfers.
๐ Visa sponsorship
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