Senior AI Engineer – Gemini, Vertex AI

🕒 Janeiro 13

🇮🇳 Índia – Remoto

⏰ Tempo Integral

🟠 Sênior

🤖 Engenheiro de IA

👻 Score fantasma 76%

O que significa: a chance de ninguém estar realmente contratando para esta vaga.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Por que essa pontuação:

• Aberta há 304 dias.
• 69 vagas abertas para uma equipe de 42 pessoas.
• Sem salário divulgado.

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Opplane

SiteLinkedInTodas as Vagas

11 - 50 funcionários

Fundada em 2018

🤖 Inteligência Artificial

💳 Fintech

☁️ SaaS

🔥 Investimento no último ano

💰 Accelerator/Incubator em 2025-12

Artificial Intelligence • Fintech • SaaS

A Opplane é uma empresa de software que ajuda organizações a aproveitar o valor dos dados por meio de conectividade, governança de dados e inteligência artificial generativa. A empresa se concentra na aplicação de soluções de dados orientadas por IA em ambientes regulados, especialmente nos setores bancário e de fintech, viabilizando conformidade, conectividade segura de dados e casos de uso de IA para serviços financeiros e empresas.

Descrição

• We are seeking a Lead AI Engineer with deep, hands-on experience in Gemini, Vertex AI, and multi-cloud GenAI platforms to deliver production-grade LLM and RAG solutions at scale. • This is a delivery- and implementation-focused role, with ownership across solutioning, development, and operationalization of AI systems. • The role requires strong hands-on coding, architectural thinking, and the ability to adapt as AI technologies evolve rapidly. • Build and orchestrate LLM agents using Gemini Pro and LangChain • Design, implement, and operate RAG solutions at scale • Integrate with Gemini and Vertex AI services using API-driven architectures • Debug and optimize end-to-end LLM pipelines, including: chunking strategies, embeddings, retrieval logic, LLM response behavior • Deliver production-ready AI services, including monitoring, rate limiting, and reliability controls • Participate in solution design and technical decision-making • Continuously evaluate and experiment with new LLM models and features as they become available • Implement AI safety, security, and compliance controls across the AI lifecycle • Collaborate with cross-functional teams across time zones.

🎯 Requisitos

• GenAI & LLM Engineering • Hands-on experience integrating Gemini Pro 1.x via API endpoints • Strong experience building LLM agents using LangChain or similar frameworks • Advanced understanding of prompt engineering and agent orchestration • Proven ability to debug end-to-end LLM systems, including chunking, embeddings, retrieval, and generation layers • RAG & Vector Search • Hands-on experience with vector databases (Pinecone, Chroma, FAISS) • Strong understanding of RAG architectures at scale • Practical knowledge of RAG evaluation metrics, including: Precision@K, Recall@K, MRR, nDCG, Faithfulness and Answer Relevance • Solid grasp of vector similarity search fundamentals • Cloud & Multi-Cloud • Strong hands-on experience with Google Cloud Platform, including: Storage services, Serverless compute, Search, Transcription, Chat / conversational services • Practical experience in multi-cloud environments • Working experience integrating AWS services alongside GCP • Programming & APIs • Excellent programming skills in Python, PySpark, or Java • Strong experience building scalable, API-based AI solutions • Solid understanding of API rate limiting, performance tuning, and reliability • AI Safety, Security & Compliance • Hands-on experience implementing AI safety and guardrails, including: Input validation, PII detection and redaction, Reliability and hallucination checks, Compliance controls • Knowledge of multi-layered security, including IAM, data isolation, and audit logging. • NICE-TO-HAVE Skills (Strong Plus) • Experience using Terraform or Infrastructure-as-Code tools • Background in data analytics, data engineering, or data science • Knowledge of data warehousing concepts (ETL/ELT, analytics platforms) • Experience evaluating and comparing new LLM models as they enter the market • Exposure to bias mitigation techniques in enterprise AI systems • Experience operating large-scale production RAG systems.

🏖️ Benefícios

• Global & Multicultural – Our team unites professionals from around the world, blending diverse ideas and experiences that fuel innovation. • Startup Energy – We move fast, embrace change, and turn ideas into action in a dynamic and high-impact environment. • Empowered Ownership – Each team member owns their work and contributes directly to our collective success. • Collaborative & Friendly – We foster an open, approachable culture where collaboration and curiosity thrive.

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