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AI & Data EngineerSenior AI & Data Engineer (Client-Facing | Remote | High-Growth Role) Company: AIPMACT Solution Loc...

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Selected role

AI / ML Engineer

Sucam Services Дистанційно, UA

$18k Senior Full-time

AI & Data Engineer**Senior AI & Data Engineer (Client-Facing | Remote | High-Growth Role)

Company:** AIPMACT Solution

Location: Remote from Nigeria (US Timezone Required)

Employment Type: Full-Time

Compensation: Base + Project-Based Earnings + Performance Bonus

*About AIPMACT Solution

AIPMACT Solution** is a New York and Virginia–headquartered AI, Data, and Full-Stack Engineering firm delivering advanced software and intelligent systems to businesses across the United States.

We specialize in building AI-driven platforms, scalable data infrastructure, and cloud-native applications that power modern digital products. Our engineering teams focus on LLM-powered applications, data engineering pipelines, MLOps platforms, and modern web architectures for startups and enterprise clients.

Due to growing demand for AI transformation and data-driven platforms, we are expanding our engineering team with high-performing AI, Data, and MLOps engineers who are comfortable working in client-facing environments and motivated by performance-based earning opportunities.

Role Overview

This is a high-impact engineering role designed for experienced professionals who excel in both technical execution and client collaboration.

You will work across AI engineering, data platforms, and cloud-native systems while also supporting client solution discussions and technical architecture planning.

Engineers in this role may participate in technical interviews, solution architecture sessions, and project delivery depending on engagement needs.

You will:

Represent AIPMACT Solution in technical interviews and architecture discussions with clients
Help secure and deliver AI, Data, and Full-Stack engineering projects
Design and implement AI-powered systems and data platforms
Build scalable backend services, ML pipelines, and distributed systems
Lead or contribute to client engagements across multiple industries

This role provides a stable base retainer with strong upside tied to project engagements.

Compensation Structure

Base Retainer: $1000 – $1,500 per month (based on experience & availability)
Per Active Project: $2,500 – $3,500 per month
Ability to manage up to 3 concurrent projects
High-performing engineers can earn $10,000+ per month
Additional performance bonuses for top contributors

Key ResponsibilitiesAI Engineering

Design and implement LLM-powered applications and AI workflows
Build AI agent systems, RAG pipelines, and intelligent automation
Integrate OpenAI, Anthropic, or open-source models (Llama, Mistral, etc.)
Develop **AI-powered product features such as recommendations, document processing, and decision systems

Data Engineering**

Build data ingestion and transformation pipelines
Design data lake and data warehouse architectures
Implement streaming and batch processing pipelines
Work with technologies such as **Spark, Kafka, Airflow, and modern data platforms

MLOps & AI Infrastructure**

Deploy and manage machine learning models in production
Build ML pipelines, model monitoring, and automated training workflows
Implement model evaluation and experiment tracking systems
Design scalable **AI infrastructure on AWS, GCP, or Azure

Full-Stack Engineering**

Develop scalable backend services (Python, Node.js)
Build modern frontend applications (React / Next.js / TypeScript)
Implement microservices architectures and API platforms
Integrate AI capabilities into production web applications

Cloud & DevOps

Deploy applications on AWS, Kubernetes, or serverless infrastructure
Build CI/CD pipelines and automated deployment workflows
Design **secure and scalable multi-tenant systems

Required Qualifications**

5 – 8+ years of software engineering experience
Strong experience in AI Engineering, Data Engineering, or Machine Learning
Experience building cloud-native systems
Strong system design and distributed systems knowledge
Experience with Python or Node.js backend development
Familiarity with MLOps tools and data pipelines
Excellent English communication skills
Comfortable working with US-based clients
Strong **ownership mindset and professionalism

Preferred Experience**

LLM integrations and generative AI applications
RAG pipelines and vector databases
Machine learning model deployment
Data platform architecture
Multi-tenant SaaS systems
Microservices and event-driven architectures
Prior experience in **consulting or client-facing engineering roles

Work Environment**

Fully Remote
US Timezone collaboration required
Global distributed engineering team
Offices currently in India and Ukraine, expanding to Latin America
Optional **in-person team gatherings twice per year

Hiring Process**

Introductory Interview with Recruiter
Hiring Manager interview
Technical Interview(System Design + AI/Data Engineering discussion + live coding)
*Offer

Who Thrives Here**

Engineers passionate about AI and data-driven systems
Professionals comfortable in client-facing environments
Builders who enjoy both architecture and delivery
Engineers motivated by high earning potential and flexible engagement
Self-starters who can balance multiple high-impact projects

Job Type: Full-time

Pay: 44,000.00грн - 220,000.00грн per month

Work Location: Remote

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