AWS Cloud - Native AI Engineer
Buenos Aires
Technology & Cloud – Cloud /
Full Time /
Hybrid
Allata is a global consulting and technology services firm with offices in the US, India, and Argentina. We help organizations accelerate growth, drive innovation, and solve complex challenges by combining strategy, design, and advanced technology. Our expertise covers defining business vision, optimizing processes, and creating engaging digital experiences. We architect and modernize secure, scalable solutions using cloud platforms and top engineering practices.
Allata also empowers clients to unlock data value through analytics and visualization and leverages artificial intelligence to automate processes and enhance decision-making. Our agile, cross-functional teams work closely with clients, either integrating with their teams or providing independent guidance—to deliver measurable results and build lasting partnerships.
We’re seeking an experienced AWS Cloud-Native AI Engineer to design and implement serverless generative AI solutions using Amazon Bedrock. This role focuses on creating intelligent systems that generate context-aware recommendations and improvement suggestions based on user-inputted form data.
Responsibilities:
- Architect and implement serverless AI workflows leveraging AWS Lambda, Step Functions, and Bedrock APIs.
- Design prompt and context engineering pipelines to generate recommendations dynamically from partial or tentative form responses.
- Implement data ingestion, validation, and contextual augmentation using AWS services (S3, DynamoDB, API Gateway, Lambda, Step Functions, EventBridge, etc.).
- Develop and deploy infrastructure as code using AWS CDK (TypeScript).
- Integrate LLM-based inference into end-user apps and internal tools.
- Optimize inference cost and latency through intelligent caching, grounding, and response evaluation mechanisms.
- Collaborate with UX and product teams to embed generative capabilities seamlessly into existing workflows.
Qualifications:
- 5+ years in cloud-native development on AWS.
- Expertise in serverless architecture, TypeScript, AWS CDK, and Bedrock (Claude, Titan, or third-party models).
- Proven experience in prompt engineering, context orchestration, or agentic system design.
- Experience with vector databases, contextual retrieval (RAG), and event-driven architectures.
- Strong understanding of AI safety, model evaluation, and governance patterns.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
