Applied AI Engineer (LLM GenAI Product Engineer)

Austin, TX - USA

Salary: Not Disclosed

Experience Required: 4-5years

Posted on: 10 hours ago

Vacancies: 1 Vacancy

Job Summary

This is a remote position.

Vertex is looking for Applied AI Engineers who can take large language models from concept to production and integrate them into real products.

We are building a curated pool of senior AI engineers for upcoming roles with partner/ client companies. Selection into the pool is based on experience technical depth and demonstrated production impact.

Responsibilities

- Design and implement LLM-powered features for real-world applications

- Build and maintain RAG pipelines prompt workflows and evaluation loops

- Integrate AI systems with APIs backend services and data stores

- Optimize models for latency cost and reliability in production

- Collaborate with product and engineering teams to ship AI features

Requirements

- Strong Python experience and backend engineering fundamentals

- Hands-on experience deploying LLMs or GenAI systems in production

- Experience with embeddings vector databases and retrieval systems

- Ability to reason about trade-offs between models cost and performance

- Clear evidence of shipped AI features used by real users

Benefits

For this role its selection into the Vertex Talent pool based on experience technical depth and demonstrated production impact.

An energised upbeat environment that strongly fosters employee work-life balance.
A work culture that rewards goal-oriented professionals who enjoy meeting challenges head-on.
Amazing personal growth experience
Working with a motivated and talented team.
More importantly an opportunity to meaningfully contribute to bringing cutting-edge Tech solutions to life

Required Skills:

Production RAG Architecture (Chunking Retrieval & Re-ranking) Advanced Python & Backend Engineering (FastAPI Asyncio) Vector Database Management (Pinecone Weaviate Milvus) LLM Evaluation Frameworks (Eval Loops & Accuracy Metrics) Model Optimization (Latency Cost & Reliability) Orchestration Frameworks (LangChain LlamaIndex or DSPy) System Integration (REST APIs Data Stores & Microservices) Prompt Engineering & Workflow Design (Structured Outputs/JSON) AI Observability & Monitoring (Tracing & Debugging) Model Selection & Trade-off Analysis

Required Education:

BSc.

This is a remote position. Vertex is looking for Applied AI Engineers who can take large language models from concept to production and integrate them into real products. We are building a curated pool of senior AI engineers for upcoming roles with partner/ client companies. Selection into the p...