AI Engineer

LTM; Mexico; On-site; PHP 1,000,000 - 1,800,000; Full time

Benefits offered by this job

Major Medical Insurance

Visual and Dental Insurance

Life Insurance

3% Food Coupons

Home Office Bonus

Job summary

LTM is seeking a senior software engineer specializing in AI/ML to lead the design, development, and deployment of GenAI and agentic AI solutions on AWS.

You will work with cutting-edge frameworks (AWS Bedrock, LangGraph, CrewAI) to build scalable systems, implement RAG/retrieval, and ensure proper cost, security, and operational controls. Strong Python and MLOps expertise are essential.

Excellent collaboration across teams and a focus on production readiness are required.

Qualifications

• 5+ years of software engineering experience, including at least 2 years focused on AI/ML, LLM applications, or agentic systems.
• Proven track record of shipping LLM, AI/ML, or agentic AI solutions into production, preferably on AWS.
• Strong hands-on experience in Agentic AI and multi-agent orchestration using production agent frameworks such as AWS Strands SDK, LangGraph, CrewAI, or Claude Agent SDK.
• Experience designing and implementing ReAct / tool-use loops, supervisor-based orchestration, DAG orchestration, state management, selective re-execution, and human-in-the-loop approval gates.
• Hands-on experience with Amazon Bedrock and AWS GenAI stack, including foundation models, Knowledge Bases, Agents, S3, Lambda, IAM, ECS/EKS, or SageMaker.
• Experience deploying, scaling, and managing GenAI solutions on AWS with appropriate cost, security, and operational controls.
• Hands-on 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, re-ranking, and retrieval-failure verification.
• Strong understanding of transaction-safe tool integration, including atomic commit, rollback handling, and prevention of partial-write or inconsistent-state failures.
• Strong experience in prompt engineering and evaluation, including prompt development, versioning, regression testing, few-shot example curation, golden sets, benchmark sets, and A/B 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 CI/CD for AI-enabled services, monitoring, observability, dashboards, versioning, and token-cost optimization.
• Strong experience in Python software engineering, including strict JSON schema design, schema validation, idempotency, error handling, transaction safety, and clean Git-based development workflows.

Skills

Software engineering

AI/ML

LLM applications

Agentic AI

Production deployment

Python

AWS

MLOps

Prompt engineering

Evaluation metrics

Tools

AWS Strands SDK

LangGraph

CrewAI

Claude Agent SDK

Amazon Bedrock

SageMaker

OpenSearch

Vector databases

REST APIs

Job description

• Minimum 5+ years of software engineering experience, including at least 2 years focused on AI/ML, LLM applications, or agentic systems.
• Proven track record of shipping LLM, AI/ML, or agentic AI solutions into production, preferably on AWS.
• Strong hands-on experience in Agentic AI and multi-agent orchestration using production agent frameworks such as AWS Strands SDK, LangGraph, CrewAI, or Claude Agent SDK.
• Experience designing and implementing ReAct / tool-use loops, supervisor-based orchestration, DAG orchestration, state management, selective re-execution, and human-in-the-loop approval gates.
• Hands-on experience with Amazon Bedrock and AWS GenAI stack, including foundation models, Knowledge Bases, Agents, S3, Lambda, IAM, ECS/EKS, or SageMaker.
• Experience deploying, scaling, and managing GenAI solutions on AWS with appropriate cost, security, and operational controls.
• Hands-on 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, re-ranking, and retrieval-failure verification.
• Strong understanding of transaction-safe tool integration, including atomic commit, rollback handling, and prevention of partial-write or inconsistent-state failures.
• Strong experience in prompt engineering and evaluation, including prompt development, versioning, regression testing, few-shot example curation, golden sets, benchmark sets, and A/B 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 CI/CD for AI-enabled services, monitoring, observability, dashboards, versioning, and token-cost optimization.
• Strong experience in Python software engineering, including strict JSON schema design, schema validation, idempotency, error handling, transaction safety, and clean Git-based development workflows.

Nice to Have

• AWS Certified Machine Learning – Specialty certification.
• AWS Certified Solutions Architect certification.

Languages

• 100% payroll
• Major Medical Insurance
• Visual and Dental Insurance
• Life Insurance
• 3% Food Coupons
• IMSS/ AFORE/INFONAVIT
• Home Office Bonus

LTM is an equal opportunity employer committed to diversity in the workplace. Employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability, genetic information, union affiliation, affectional or sexual orientation, or any other characteristic protected by applicable law.