Lead AI Engineer (LLMs & Data Pipelines)
Share
Job Location:
Monthly Salary:
Posted on:
14 hours ago
Vacancies:
1 Vacancy
Job Summary
Overview:
We are seeking a Lead AI Engineer (LLMs & Data Pipelines) to drive the design integration and operational excellence of LLM-powered capabilities across our platforms.
In this role you will build intelligent features such as classification extraction summarization and action orchestration powered by large language models. You will design embedding and retrieval pipelines (RAG semantic search) create robust data pipelines for training and evaluation and define clear evaluation metrics and quality gates to ensure reliable LLM behavior in production.
You will work hands-on with inference runtimes such as ONNX Runtime and TensorFlow Lite benchmarking performance across CPU GPU NPU and DSP environments and optimizing deployments for latency cost and reliabilityincluding in constrained or embedded systems. Collaborating with engineering data and MLOps teams you will integrate models into real-world APIs and production systems while continuously experimenting with prompts architectures and model choices.
If you are passionate about turning advanced AI research into scalable production-ready systems and efnjoy balancing performance accuracy and operational constraints this may be your next mission.
What will you do
- Build and integrateLLM-powered features (classification extraction summarization actions).
- Integrate models with inference runtimes (such as ONNX Runtime TensorFlow Lite /LiteRT).
- Benchmark and validate model performance across different hardware backends (CPU GPU NPU DSP).
- Designembedding and retrieval pipelines (RAG semantic search).
- Create andmaintaindata pipelines for training and evaluation.
- Defineevaluation metrics and quality gates for LLM behavior.
- Optimizeinference forlatency cost and reliability.
- Integrate models intoproduction systems and APIs.
- Run experiments to evaluate prompts models and architectures.
What are we looking for
- Strong experience withLLMs and NLP systems
- Hands-on experience withembeddings and vector databases
- StrongPythonskills and ML frameworks
- Experience buildingproduction data pipelines
- Solid understanding of evaluation and regression detection
- Experience withRAG architectures
- MLOpsormonitoringexperience
- Experience with model calibration and accuracy/latency trade-off analysis
- Hands on experience deploying models on edge or embedded devices (constrained environments)
What can you expect from us
A permanent job contract for a long-term project;
Tech equipment SIM Card personal smartphone;
Health and Life Insurance;
Social events and team buildings;
The commitment of letting you grow with us and be rewarded accordingly;
A dynamic and young team that will always be there to support you;
Training in the latest technologies;
Coffee fruits snacks and a warm welcome whenever you visit the office.
Required Experience:
IC
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
At Caixa Mágica, we provide custom software development that drives business growth. Explore our services and see how we help companies.
