AI Engineer – R&D

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🕒 Maio 21

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G2i Inc.

SiteLinkedInTodas as Vagas

11 - 50 funcionários

🎯 Recrutamento

🏢 Corporativo

☁️ SaaS

Recruitment • Enterprise • SaaS

G2i Inc. é uma plataforma baseada em vídeo especializada na contratação de engenheiros, seja por contrato ou em tempo integral. Com um vasto pool de mais de 8. 000 engenheiros, a G2i oferece combinações de alta qualidade com rapidez, personalizando seu processo de busca e seleção (sourcing) de acordo com as necessidades do cliente. A empresa oferece um teste gratuito de 7 dias para engajar potenciais contratações antes de qualquer compromisso. A plataforma enfatiza rapidez e qualidade, utilizando avaliações em vídeo e treinamento com IA para garantir que os engenheiros atendam a padrões técnicos específicos. A G2i cuida de compliance, pagamentos internacionais e verificação de antecedentes, proporcionando um processo de contratação simplificado para empresas que desejam contratar nos Estados Unidos, Canadá, América Latina ou Europa. Ao focar em cargos técnicos como engenheiros de JavaScript, Python, iOS, Android e IA, a G2i garante que as empresas possam contratar talentos de ponta com eficiência.

Descrição

• Design and execute fine-tuning strategies for structured generation and editing workflows • Build supervised datasets from successful generations, retries, failures, and user edits • Develop measurable benchmarks for generation quality, correctness, and edit preservation • Experiment with open-source models such as Llama, Qwen, Mistral, DeepSeek, or related architectures • Implement LoRA, QLoRA, supervised fine-tuning (SFT), distillation, preference tuning, or synthetic data approaches where appropriate • Build automated pipelines for collecting, cleaning, evaluating, and promoting production data into training datasets • Use validation systems, intermediate representations, runtime analysis, and rendered outputs as structured feedback signals for models • Improve retry, repair, and self-correction workflows for generation pipelines • Collaborate cross-functionally with engineering, design, and product teams to improve model reliability and output quality

🎯 Requisitos

• Strong experience building with LLMs or structured generation systems in production or applied research settings • Hands-on experience fine-tuning or adapting open-source language models • Strong Python engineering skills • Experience building evaluation systems, ML experimentation workflows, or data pipelines • Strong understanding of prompt engineering, structured outputs, tool use, and model failure analysis • Ability to define measurable evaluation criteria rather than relying only on subjective review • Comfort debugging systems spanning model outputs, validation systems, runtime behavior, and rendered results • Strong communication and collaboration skills • Experience with code generation, DSL generation, or compiler-aware AI systems (preferred) • Experience with LoRA, QLoRA, SFT, preference tuning, distillation, or synthetic data generation (preferred) • Familiarity with animation systems, graphics pipelines, design tools, SVG, WebGL, shaders, or procedural graphics (preferred) • Experience with multimodal or visual-language-model evaluation workflows (preferred) • Experience with observability or ML evaluation tooling such as Weights & Biases, Langfuse, MLflow, or OpenTelemetry (preferred) • Experience building agentic systems, orchestration pipelines, or multi-step generation workflows (preferred) • Familiarity with ASTs, intermediate representations (IRs), or structured program representations (preferred)

🏖️ Benefícios

• Fully remote position • Candidates should have at least 4 hours of overlap with the Malaysia time zone (MYT / UTC+8) • Direct hire opportunity • Visa sponsorship is not available for this role