Senior AI/ML & Forward Deployed Engineer

Jobgether • Brazil

Remote

This Job is No Longer Active This position is no longer accepting applications

AI Summary

Design, develop, and deploy high-impact AI, machine learning, and generative AI solutions from concept to production. Build scalable GenAI applications using LLMs, RAG pipelines, and MLOps/LLMOps practices while ensuring security and governance. Requires 8+ years of software engineering experience with advanced Python, deep learning, and production deployment expertise.

Key Highlights

Build and deploy production-grade GenAI applications using LLMs, RAG, and MLOps/LLMOps.

Combine software engineering, machine learning, and DevOps expertise for scalable AI products.

Collaborate with stakeholders to translate business needs into technical AI solutions.

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Key Responsibilities

Design, develop, and deploy machine learning, AI, and GenAI solutions from proof of concept through production.

Build and optimize ML models and applications covering deep learning, NLP, forecasting, classification, regression, and anomaly detection use cases.

Develop production-grade GenAI applications using LLMs, RAG pipelines, embeddings, retrieval optimization, reranking, and prompt engineering.

Design and implement AI evaluation frameworks to assess model quality, reliability, relevance, and performance.

Build scalable AI services and integrations using REST and gRPC APIs as well as event-driven architectures.

Establish and maintain MLOps and LLMOps practices covering deployment, automation, versioning, monitoring, and lifecycle management.

Containerize and orchestrate AI applications using Docker and Kubernetes and integrate them into robust CI/CD pipelines.

Implement model monitoring, drift detection, performance tracking, and processes for continuous model improvement.

Ensure AI solutions meet enterprise requirements for data quality, governance, security, role-based access control, encryption, and auditability.

Collaborate with business and technical stakeholders to understand requirements, identify opportunities for AI adoption, and translate them into effective technical solutions.

Support solutions through production operations, troubleshooting, optimization, and ongoing improvements.

Apply strong engineering practices to ensure AI systems are scalable, secure, observable, maintainable, and aligned with business objectives.

Technical Skills Required

Python Machine Learning Generative AI

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Benefits & Perks

Competitive annual salary of $100,000–$120,000

Full-time opportunity with a remote working model

Opportunity to work on cutting-edge AI, machine learning, and GenAI solutions

Job Description

This role offers the opportunity to build and deploy high-impact AI, machine learning, and generative AI solutions from initial concept through production.You will combine software engineering, machine learning, and MLOps/LLMOps expertise to create scalable and reliable AI products.The position involves solving complex business problems through technologies such as LLMs, RAG pipelines, NLP, forecasting, and anomaly detection.You will work across the full AI lifecycle, from experimentation and evaluation to deployment, monitoring, and continuous improvement.Strong attention to security, governance, observability, and data quality will be essential when delivering production-ready solutions.

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