Aventis Solutions

AI Engineer x3

DALLAS, TXPosted 21 days ago

Job summary

  • Job post source

    This job is from a recruiting firm hiring for a separate company.

  • Job overview

    The AI Engineer roles at Aventis Solutions support a fast-scaling US FinTech firm by building production-ready AI systems and modern data platforms to integrate advanced AI capabilities into real-world products.

  • Responsibilities and impact

    The job involves designing and maintaining scalable data pipelines and ML infrastructure, integrating AI and LLM solutions into production, implementing CI/CD for ML workflows, supporting data governance and reliability, and collaborating on applied AI use cases.

  • Compensation and benefits

    The salary ranges from $120,000 to $190,000 base with performance bonuses and comprehensive benefits, and the roles are fully remote within the US.

  • Experience and skills

    Candidates should have Python programming skills, cloud environment experience (AWS, GCP, or Azure), familiarity with containerization and infrastructure as code, knowledge of ML lifecycle management, interest in LLMs and generative AI, and good communication skills.

  • Career development

    There are opportunities for vertical growth as AI Engineer or AI Lead, as well as paths into team leadership, business/technology strategy, or architecture roles as the company expands.

  • Work environment and culture

    The company promotes a collaborative team culture with strong engineering leadership, values autonomy, learning, and high-quality engineering, and supports fully remote work within the US.

  • Company information

    Aventis Solutions is a recruiting firm acting on behalf of a fast-scaling US FinTech partner focused on AI-driven products and services.

  • Team overview

    Candidates will join a growing engineering team working on predictive models, LLM-enhanced applications, recommendation systems, and large-scale data integrations, collaborating cross-functionally.

  • Job location and travel

    The positions are fully remote across the US with no specified travel requirements.

  • Application process

    Applicants should submit their CV via LinkedIn or contact Billy Hall for more information.

  • Unique job features

    The roles offer the chance to work on cutting-edge AI and MLOps projects involving LLM integrations, generative AI tooling, and cloud-native ML infrastructure in a fully remote setting.

Company overview

Aventis Solutions is a technology-driven company specializing in providing innovative IT services and solutions to businesses across various industries. They generate revenue through custom software development, IT consulting, cloud services, and digital transformation projects tailored to meet client needs. Founded with a focus on delivering cutting-edge technology, Aventis Solutions has built a reputation for fostering long-term partnerships and driving operational efficiency for its clients. Candidates should note the company's emphasis on innovation, client-centric approaches, and its commitment to staying ahead in the rapidly evolving tech landscape.

How to land this job

  • Position your resume to highlight your expertise in designing and maintaining scalable data pipelines and ML infrastructure in cloud-native environments, especially AWS, Azure, or GCP.

  • Emphasize your experience with Python programming for ML experimentation and API integrations, containerization using Docker and Kubernetes, and CI/CD workflows for ML systems.

  • Apply through multiple channels including Aventis Solutions' corporate site, LinkedIn, and any FinTech or AI job boards where the position is posted to maximize your chances.

  • Connect with AI engineering or MLOps team members at Aventis Solutions on LinkedIn, using ice breakers like commenting on recent AI projects they are involved in or expressing enthusiasm about their work with LLMs and generative AI.

  • Optimize your resume for ATS by including keywords such as 'ML lifecycle management,' 'cloud-native AI solutions,' 'Python,' 'Docker,' 'Kubernetes,' 'CI/CD,' 'AWS SageMaker,' and 'LLM integrations' to pass automated screenings.

  • Jennie Johnson's Power Apply feature can automate your application process by tailoring your resume, finding all relevant application portals, and identifying LinkedIn contacts for networking, freeing you to focus on preparing for interviews and skill development.

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