Agentic AI Solutions Engineer
Location:

Remote – Mexico
Schedule:

Full-Time | 9:00 AM – 6:00 PM EST

About the Role
We are looking for an

Agentic AI Solutions Engineer

to design, configure, and optimize

AI Agents

for enterprise healthcare and life sciences environments.
This is an

AI implementation and solutions role

, not a traditional backend development position. You will work directly with customers to understand their workflows and translate business requirements into practical AI-powered solutions.

Key Responsibilities
Design, configure, test, and optimize

AI Agents

.
Conduct customer discovery and requirements-gathering sessions.
⚙️ Translate business workflows into agent logic and multi-step AI workflows.
✍️ Create and optimize

prompts and system instructions

.
Work with

RAG (Retrieval-Augmented Generation)

and LLM-based solutions.
Support integrations with

APIs, SQL databases, CRMs, and data warehouses

.
Participate in UAT, troubleshooting, and production implementations.
Collaborate with

Product, Engineering, Customer Success,



and enterprise customers

.

Requirements
1–2+ years of experience with

AI implementation, Agentic AI, Conversational AI, or Generative AI solutions

.
Hands-on experience building or configuring

AI Agents

.
Strong

Prompt Engineering and LLM

knowledge.
Experience or strong understanding of

RAG

.
Working knowledge of

SQL, APIs, and system integrations

.
Experience gathering customer requirements and translating workflows into technical solutions.
️ Strong English communication skills.

⭐

Highly Preferred
Experience or meaningful exposure to:
☁️

Salesforce / Salesforce Health Cloud
Veeva CRM / Veeva Vault
❄️

Snowflake
Healthcare, Pharmaceutical, or Life Sciences environments
You do not need experience with every platform, but you should understand how

enterprise systems, data, and AI solutions work together

.

Compensation
Payroll:

MXN $34K–$42K/month
Direct Contractor:

MXN $42K–$52K/month

📌 Agentic AI Solutions Engineer (Ciudad de México)
🏢 Remoto Workforce
📍 Ciudad de México