AI/ML Engineer :: (LATAM) Remote

Role: AI/ML Engineer - ContractorEngagement Type: ContractOverviewThe AI/ML Engineer - Contractor will support the company’s strategic initiative to modernize andautomate core business workflows using AI, ML, and AWS technologies.They will collaborate closely with the AI Innovation/Transformation Team, the Architect – AWS& AI, and cross-functional engineering groups to accelerate experimentation, proof-of-concept(POC) delivery, and productionize AI-driven solutions.This role is ideal for an experienced hands-on technologist who can move fast, workindependently, and deliver practical AI integrations that improve efficiency, intelligence, andscalability across systems.Key Responsibilities● Assist in designing, developing, and deploying AI/ML pipelines using AWS (SageMaker,Bedrock, Lambda, ECS, S3).● Collaborate to build RAG-based LLM systems and agentic workflows (tool-calling,decision-making, multi-step orchestration).● Contribute to AI model evaluation, prompt tuning, and observability (accuracy, latency,cost).● Support implementation of guardrails, prompt filters, and evaluation frameworks forresponsible model behavior.● Integrate AI systems with existing applications, APIs, and external data sources (OEM,DMS, internal APIs).● Develop prototypes and POCs for new AI use cases (document understanding, recallautomation, intelligent assistants).● Document design approaches, integration flows, and POC learnings for productionscaling.● Participate in architecture discussions, providing feedback for consistency andscalability.Qualifications● Bachelor's or Master's in Computer Science, Data Science, Engineering, or equivalentexperience.● 3–7 years in software development, data engineering, or AI/ML integration.● Hands-on experience with LLMs, RAG, and prompt engineering (OpenAI, Bedrock,Anthropic, or similar).● Familiarity with vector databases (e.g., OpenSearch, Pinecone, FAISS) and embeddingpipelines.● Proficient in Python or Node.js; experience building APIs and data pipelines.● Exposure to AWS services (Lambda, ECS, SageMaker, S3) for AI/ML deployment.● Understanding of data governance, red-teaming, and AI safety principles.● Strong ability to work independently, manage multiple priorities, and deliver in afast-paced, startup-like environment.