Join #Ensiteam! 🚀

At Ensitech, we are a custom software development company with more than 19 years of experience delivering high-quality technology solutions.

Our Client is a pioneer in hybrid enterprise AI. They combine autonomous agents with human expertise to make enterprise-grade AI accessible. And are the trusted partner for transforming businesses by unlocking the hidden value in data. Also deliver measurable outcomes 10X faster and at 80% lower cost. We partner with industry leaders in manufacturing, retail, financial services, and infrastructure.

Roles & Responsibilities

Design & Deliver AI Solutions
Interact directly with customers.
Understand their business requirements.
Translate them into robust, production-ready AI solutions.
Manage AI projects with the customer's vision in mind.
Build long-term, trusted relationships with clients.

Build & Integrate Agents

Architect, build, and integrate intelligent agent systems.
Automate IT functions and solve specific client problems.
Use expertise in frameworks like LangChain or LangGraph to build multi-step tasks.
Integrate these custom agents directly into the RapidCanvas platform.

Implement LLM & RAG Pipelines

Develop grounding pipelines with retrieval-augmented generation (RAG).
Contextualize LLM behavior with client-specific knowledge.
Build and integrate agents with infrastructure signals like logs and APIs.

Collaborate & Enable

Work with customer data science teams.
Collaborate with other internal Solutions Architects, Engineering, and Product teams.
Ensure seamless integration of AI solutions.
Serve as an expert on the RapidCanvas platform.
Enable and support customers in building their own applications.
Act as a Product Champion, providing crucial feedback to the product team to drive innovation.

Data & Model Management

Oversee the entire AI project lifecycle.
Start from data preprocessing and model development.
Finish with deployment, monitoring, and optimization.

Champion Best Practices

Write clean, maintainable Python code.
Champion engineering best practices.
Ensure high performance, accuracy, and scalability.

Key Skills Required Experience

Minimum 5+ years of hands-on experience in AI/ML engineering or backend systems.
Recent exposure to LLMs or intelligent agents is a must.

Technical Expertise

Proficiency in Python.
Proven track record of building scalable backend services or APIs.
Expertise in machine learning, deep learning, and Generative AI concepts.
Hands-on experience with LLM platforms (e.g., GPT, Gemini).
Deep understanding of and hands-on experience with agentic frameworks like LangChain, LangGraph, or CrewAI.
Experience with vector databases (e.g., Pinecone, Weaviate, FAISS).

Customer & Communication Skills

Proven ability to partner with enterprise stakeholders.
Excellent presentation skills.
Comfortable working independently.
Manage multiple projects simultaneously.

Language Requirements

Full professional proficiency in both Spanish and English (ILR 4 / CEFR C1 or higher) is required.
Lead customer conversations, workshops, and deliverables in Spanish.
Collaborate daily with RapidCanvas’s global engineering, product, and leadership teams in English.

Preferred Skills

Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).
Knowledge of MLOps practices.
Experience in the AI services industry or startup environments.

What We Offer

✅ 100% remote opportunity
✅ Opportunity to work on cutting-edge AI projects
✅ Collaboration with leading Frontier LLM companies
✅ International and innovation-driven environment
✅ Potential contract extension based on performance and project needs

Senior AI Engineer (Client Facing - USA)