AWS Cloud Developer

Encore Talent Solutions if looking for a Senior Cloud AI Software Engineer to help support a client. We're looking for engineers to bring fresh ideas to the table to assist us in providing best-in-class digital products for our end customers, ultimately making the client s services better! Responsible for implementing new features and enabling capabilities using modern information technology engineering tools and practices.

You ll be part of a high-impact team pushing the boundaries of cloud-native AI in a real-world enterprise setting. We value engineers who are curious, collaborative, and willing to tackle hard problems using modern technologies and scalable design patterns. You will be accountable for always doing the right thing for customers and colleagues, ensuring that actions and behaviors drive a positive customer experience while operating within the client's risk appetite. You'll achieve results by consistently identifying, assessing, managing, monitoring, and reporting risks of all types. This position can be remote.

We are looking for a Senior Cloud AI Software Engineer to join our Public Cloud Engineering team. In this role, you ll help design, build, and maintain secure, scalable AI/ML solutions on AWS with a focus on production-grade infrastructure, LLM fine-tuning, and Retrieval-Augmented Generation (RAG) systems.

DUTIES AND RESPONSIBILITIES:

• Hands-on role, responsible for the implementation of AWS cloud services including infrastructure, machine learning, and artificial intelligence platform services.
• Engineer and deploy end-to-end AI/ML services using AWS (Lambda, Bedrock, SageMaker, Step Functions, DynamoDB, S3).
• Design and fine-tune LLM-based applications, including Retrieval-Augmented Generation (RAG) using LangChain and other frameworks.
• Develop cloud-native microservices, APIs, and serverless functions to support intelligent automation and real-time data processing.
• Collaborate with internal stakeholders to understand business goals and translate them into secure, scalable AI systems.
• Own the software release lifecycle, including CI/CD pipelines, GitHub-based SDLC, and infrastructure as code (Terraform).
• Support the development and evolution of reusable platform components for AI/ML operations.
• Create and maintain technical documentation for the team to reference and share with internal customers.

MINIMUM KNOWLEDGE, SKILLS AND ABILITIES REQUIRED:

• 7+ years of hands-on software engineering experience with a strong focus on Python and GoLang.
• Deep expertise with AWS services, especially Bedrock, SageMaker, ECS, and Lambda.
• Proven experience fine-tuning large language models, building datasets, and deploying ML models to production.
• Demonstrated experience with AWS organizations and policy guardrails (SCP, AWS Config).
• Solid experience implementing RAG architectures and using frameworks and ML tooling like: Transformers, PyTorch, TensorFlow, and LangChain.
• Demonstrated experience in Infrastructure as Code best practices and experience with building Terraform modules for AWS cloud.
• Strong background in Git-based version control, code reviews, and DevOps workflows.
• AWS or relevant cloud certifications is a plus.
• Policy as Code development (e.g., Terraform Sentinel) is a plus.
• Experience with Hugging Face, Node.js is a plus.
• Exposure to FinOps and cloud cost optimization is a plus.
• Data science background or experience working with structured/unstructured data is a plus.