AWS AI Engineer

Responsibilities

• Hands-on development of retrieval-augmented generation systems, fine-tuned LLMs, and AWS native microservices that enable automation, insight, and governance in an enterprise setting.
• Design and deliver scalable, secure services that operationalize large language models by linking them to live infrastructure data, internal documentation, and system telemetry.
• Active work with AWS services including Lambda, Bedrock, SageMaker, Step Functions, DynamoDB, and S3.
• Implement AWS cloud services across infrastructure, machine learning, and AI platform offerings.
• Experience with LLM-based applications and RAG approaches using LangChain and related frameworks.
• Develop cloud-native microservices, APIs, and serverless functions to support intelligent automation and real-time data processing.
• Collaborate with internal stakeholders to translate business goals into secure, scalable AI systems.
• Own the software release lifecycle, encompassing CI/CD pipelines, GitHub-based SDLC, and infrastructure as code with Terraform.
• Support the development and evolution of reusable platform components for AI/ML operations.
• Create and maintain technical documentation for the team and internal customers.
• Provide clear verbal and written communication in English to facilitate cross-functional collaboration.

Requirements

• Minimum 7 years of hands-on software engineering experience with a strong emphasis on Python.
• Proven experience with AWS services, particularly Bedrock or SageMaker.
• Familiarity with fine-tuning large language models, building datasets, or deploying ML models to production.
• Experience working with AWS Organizations and policy guardrails such as SCPs and AWS Config.
• Solid background in implementing Retrieval-Augmented Generation architectures and LangChain.
• Proficiency in Infrastructure as Code best practices and building Terraform modules for AWS.
• Strong track record with Git-based version control, code reviews, and DevOps workflows.
• History of delivering production-ready software with integrated release pipelines.

Technologies

• Python, AWS Bedrock, AWS SageMaker
• AWS Lambda, AWS Step Functions, AWS DynamoDB, AWS S3
• AWS Config, ECS
• Terraform, LangChain, Transformers, PyTorch, TensorFlow
• Terraform Sentinel, Git
• Hugging Face, Node.js, Golang

Benefits

• Competitive base salary
• Medical, dental, and vision insurance coverage
• Optional life and disability insurance
• 401(k) with company match and optional profit sharing
• Paid vacation time
• Paid bench time
• Training allowance
• Eligibility for referral bonuses

Nice to have

• AWS or relevant cloud certifications
• Policy as Code development experience (eg, Terraform Sentinel)
• Experience with Hugging Face, Golang, or Node.js
• Exposure to FinOps and cloud cost optimization
• Data science background or experience with structured and unstructured data
• Awareness of data privacy and secure model deployment practices (PII handling, compliance)