Senior AI Engineer

Vaga não está no LinkedIn

🕒 Maio 11

🇮🇳 Índia – Remoto

⏰ Tempo Integral

🟠 Sênior

🤖 Engenheiro de IA

🗣️🇺🇸🇬🇧 Inglês obrigatório

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Exavalu

201 - 500 funcionários

Fundada em 2018

💼 Consultoria

🏥 Saúde

🛡️ Seguros

Consulting • Healthcare • Insurance

A Exavalu é uma empresa de consultoria de negócios e tecnologia que faz parcerias com empresas para entregar uma transformação digital de alto impacto. Liderada por ex-CIOs, CXOs e principais consultores, a Exavalu oferece consultoria estratégica, transformação de sistemas centrais, integração de sistemas, soluções de dados e análises, inovação e privacidade/conformidade em setores regulamentados. A empresa concentra-se em Seguros, Bancos & Serviços Financeiros, e Saúde & Ciências da Vida, fornecendo implementações de tecnologia adaptadas à indústria e liderança em programas usando parceiros como Guidewire, Salesforce, MuleSoft, PegaSystems e AWS.

Descrição

• Design, build, and deploy production-ready AI applications, including RAG-powered solutions, conversational AI, and document intelligence • Collaborate with architects, data engineers, and domain SMEs on insurance, healthcare, and financial-services use cases • Design and implement end-to-end AI/ML solutions from data preparation through production deployment • Build RAG pipelines with retrieval, re-ranking, grounding, and evaluation • Develop conversational agents and document intelligence workflows for extraction, classification, and validation • Implement image and document processing, including OCR, layout analysis, table extraction, and redaction • Integrate with enterprise systems and APIs and enable tool use/function calling where applicable • Optimize solutions for latency, accuracy, cost, and safety • Package and deploy solutions using Docker, Kubernetes, or serverless technologies and automate with CI/CD • Write clean, testable code and contribute to internal accelerators, templates, and best practices

🎯 Requisitos

• 2–5 years of hands-on experience delivering AI/ML software to production • Strong Python skills • Proficiency in one of PyTorch or TensorFlow • Solid understanding of LLMs, prompting, function calling/tools, evaluation, and vector search • Experience with RAG, including indexing, chunking, embeddings, retrieval, re-rankers, and grounding • Practical experience with Document AI and Conversational AI in real-world workflows • Cloud experience with Azure, AWS, or GCP • Insurance experience, including FNOL, claims adjudication, underwriting, billing, policy servicing, or agent portals, preferred

🏖️ Benefícios

• Permanent remote working model • Flexible working depending on employee, customer, and business needs • Possibility of part-time work or working outside normal 9-5 business hours • Welcome back program supporting people returning after a long break due to health or family reasons • Diverse and inclusive workforce and culture • Career growth opportunities

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