Cloud Engineer

About the Company

Agility Partners is seeking a qualified AI AWS Engineer to fill an open position with one of our clients. This is an exciting opportunity to join a high-impact team developing real-world AI/ML solutions—not theoretical models. The ideal candidate will design and deploy scalable, secure services that bring large language models into active production environments using AWS-native tools. This hands-on role is for builders who have delivered working AI applications that drive automation, insights, and governance in enterprise settings.

Responsibilities

Architect and build cloud-native microservices, APIs, and serverless functions using AWS (Lambda, SageMaker, Bedrock, etc.).

Implement and support Retrieval-Augmented Generation (RAG) systems using LangChain and similar frameworks.

Lead the deployment and lifecycle of AI/ML platforms through CI/CD pipelines, IaC (Terraform), and GitHub-based SDLC.

Collaborate with stakeholders to translate business needs into scalable, secure AI solutions.

The Ideal Candidate

Has 5+ years of hands-on software engineering experience, with strong proficiency in Python.

Demonstrates expertise with AWS services—especially Bedrock or SageMaker—and deploying ML models to production.

Experienced in fine-tuning LLMs and building production-grade AI/ML solutions.

Skilled in implementing RAG architectures using LangChain or comparable frameworks.

Knowledgeable in AWS Organizations, policy guardrails (SCP, AWS Config), and IaC best practices with Terraform.

Comfortable with Git-based version control and modern DevOps practices.

Proven ability to deliver production-ready software integrated with release pipelines.

Reasons to Love It

Opportunity to build cutting-edge AI/ML systems that directly impact enterprise operations.

Join a collaborative, experienced team focused on innovation and impact.

Contribute to systems used in enterprise-scale infrastructure and decision-making.