AWS AI Engineer

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🕒 July 17, 2025

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ProntoDigital, LLC

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2008

🎯 Recruiter

🤝 B2B

Recruitment • B2B

ProntoDigital, LLC is a staffing and recruitment firm that connects skilled professionals with businesses for permanent, contract, and temporary roles. The company focuses on tailored talent solutions, prescreening candidates and matching them to client needs across industries such as IT, marketing & advertising, media & entertainment, healthcare underwriting, financial services and telecommunications. ProntoDigital emphasizes quality assurance, responsive support and building diverse, inclusive workforces to meet short-term project needs and long-term hiring goals. Based in Fort Wayne, IN, they serve employers seeking talent and job seekers looking for opportunities.

📋 Description

• Lead the development of AI/ML services using AWS technologies including Lambda, SageMaker, Bedrock, Step Functions, S3, and DynamoDB. • Implement and optimize LLM-based applications with frameworks such as LangChain, PyTorch, and TensorFlow. • Design and develop cloud-native microservices, APIs, and serverless functions to support real-time data processing and intelligent automation. • Apply Infrastructure as Code (IaC) best practices, using Terraform to create scalable and reusable AWS modules. • Integrate RAG architectures to enhance model relevance and accuracy in production use cases. • Manage CI/CD pipelines, code reviews, and DevOps workflows within Git-based environments. • Collaborate with cross-functional teams to align AI solutions with business needs and security requirements. • Document system architecture, data flows, and deployment procedures for internal reference and transparency.

🎯 Requirements

• 7+ years of software engineering experience with a strong focus on Python. • Proven expertise with AWS services, particularly SageMaker, Bedrock, Lambda, and ECS. • Hands-on experience fine-tuning LLMs, building training datasets, and deploying models into production environments. • Experience building and maintaining RAG architectures with frameworks like LangChain. • Strong understanding of AWS policy guardrails (SCPs, AWS Config) and organizational structures. • Solid background in DevOps practices, infrastructure automation, and IaC using Terraform. • Familiarity with Git-based version control, automated testing, and software release workflows. • Excellent verbal and written communication skills.

🏖️ Benefits

• Competitive hourly rate • Opportunity to work on cutting-edge AI/ML initiatives in a production environment • Remote flexibility within the U.S. • Exposure to a high-impact engineering culture focused on innovation and real-world delivery • Access to training support and growth opportunities