GenAI Engineer (US)

GenAI EngineerExperience: 2–5 YearsLocations: San Francisco, CA | New York, NY | Seattle, WA | Austin, TXSalary: $130,000–$210,000+ annuallyEmployment Type: Full-TimeAbout The CompanyWe are building next-generation AI products that use large language models and intelligent automation to solve complex business problems. Our engineering teams combine modern AI technologies with scalable software engineering practices to deliver reliable, secure, and production-ready Generative AI solutions.About The RoleWe are seeking a GenAI Engineer to design, develop, and deploy Generative AI applications powered by LLMs, Retrieval-Augmented Generation (RAG), Python, and LangChain. You will work across the full AI application lifecycle, from prototyping and experimentation to production deployment and optimization.Key ResponsibilitiesDesign and develop production-ready Generative AI applications using LLMs.Build and optimize RAG pipelines for accurate, context-aware responses.Develop AI workflows and application components using Python and LangChain.Integrate commercial and open-source large language models into enterprise applications.Develop document ingestion, chunking, embedding, retrieval, and reranking workflows.Implement prompt engineering, structured outputs, tool calling, and AI agents.Evaluate model quality, relevance, latency, and reliability using appropriate evaluation techniques.Optimize applications for performance, scalability, cost, and response quality.Build APIs and services that integrate GenAI capabilities with existing software platforms.Collaborate with software engineers, data scientists, product managers, and business stakeholders.Monitor production AI systems and continuously improve model and application performance.Follow responsible AI, security, privacy, and software engineering best practices.Required Qualifications2–5 years of professional experience in software engineering, machine learning, AI engineering, or a related field.Strong programming experience with Python.Hands-on experience building applications with LLMs.Practical experience developing RAG-based applications.Experience with LangChain or similar LLM application frameworks.Understanding of embeddings, vector databases, semantic search, and information retrieval.Strong understanding of prompt engineering and LLM application architecture.Experience working with APIs and production software development.Strong debugging, analytical, and problem-solving skills.Preferred QualificationsExperience with LangGraph, LlamaIndex, or similar frameworks.Experience with vector databases such as Pinecone, Weaviate, Milvus, or pgvector.Familiarity with OpenAI, Anthropic, Google, Meta, or other foundation models.Experience with cloud platforms such as AWS, Azure, or Google Cloud.Knowledge of Docker, Kubernetes, CI/CD, and MLOps practices.Experience with LLM evaluation, observability, guardrails, and AI safety.Familiarity with NLP, machine learning, or deep learning concepts.What We OfferCompetitive compensation of $130K–$210K+, based on experience and qualifications.Medical, dental, and vision insurance.401(k) and retirement benefits.Paid time off and company holidays.Professional development and learning opportunities.Flexible or hybrid work options, depending on location.Opportunity to work on high-impact Generative AI products.Equal OpportunityWe are committed to creating an inclusive workplace and providing equal employment opportunities to qualified candidates in accordance with applicable laws.Apply Now: Build the future of intelligent applications with our Generative AI engineering team.Skills: python,rag,langchain,llm