Consultant AI Engineer

We are looking for a senior handson Consultant AI Engineer to design build and harden productiongrade Generative AI and Agentic AI solutions across enterprise use cases The consultant will work closely with the Lead Applied AI Engineer to build LLMpowered multiagent pipelines including RAG orchestration tool integration evaluation deployment and production pilots The role requires strong engineering rigor production delivery mindset and the ability to mentor and upskill internal engineering teams

Primary Skills Mandatory

- Proven track record of shipping LLM AIML or agentic AI solutions into production preferably on AWS
- Minimum 5 years of software engineering experience including at least 2 years focused on AIML LLM applications or agentic systems
- Strong handson experience in Agentic AI and multiagent orchestration using production agent frameworks such as AWS Strands SDK LangGraph CrewAI or Claude Agent SDK
- Experience designing and implementing ReAct tooluse loops supervisorbased orchestration DAG orchestration state management selective reexecution and humanintheloop approval gates
- Handson experience with Amazon Bedrock and AWS GenAI stack including foundation models Knowledge Bases Agents S3 Lambda IAM ECSEKS or SageMaker
- Experience deploying scaling and managing GenAI solutions on AWS with appropriate cost security and operational controls
- Handson experience integrating AI agents with enterprise systems using Model Context Protocol MCP function calling REST APIs issue trackers source control systems or test management platforms
- Strong experience building RAG and hybrid retrieval solutions using vector databases such as OpenSearch or similar platforms
- Experience with embeddings semantic chunking hierarchical chunking metadata design taxonomy design hybrid retrieval reranking and retrievalfailure verification




- Experience converting longcontext workflows into scalable RAGbased solutions over proprietary enterprise data
- Strong understanding of transactionsafe tool integration including atomic commit rollback handling and prevention of partialwrite or inconsistentstate failures
- Strong experience in prompt engineering and evaluation including prompt development versioning regression testing fewshot example curation golden sets benchmark sets and AB testing
- Experience defining and tracking evaluation metrics for accuracy hallucination factual consistency cost and performance improvement across model iterations
- Experience with LLMOps MLOps practices including CICD for AIenabled services monitoring observability dashboards versioning and tokencost optimization
- Strong experience in Python software engineering including strict JSON schema design schema validation idempotency error handling transaction safety and clean Gitbased development workflows
- Bachelors degree in Computer Science Data Science Applied Mathematics or a related technical discipline or equivalent professional experience

Secondary Skills Nice to Have
- Generative AI Machine Learning Hugging Face or equivalent GenAI ML certifications
- Experience with containerization using Docker or Kubernetes
- Experience with Infrastructure as Code using Terraform or CloudFormation
- Ability to document runbooks and support knowledge transfer to internal engineering teams
- Experience prototyping in sandbox environments and promoting validated components to production AWS Bedrock environments
- Familiarity with enterprise security and compliance standards for production AI deployments
- AWS Certified Machine Learning Specialty certification
- AWS Certified AI Practitioner certification
- AWS Certified Solutions Architect certification

Location: Mexico

Work Model: Remote

Hiring Model: FTE

Client: ICW

Min Salary:

Max Salary:

📌 AI Engineer (México)
🏢 LTIMindtree
📍 México