Senior AI & Data Engineer (Client-Facing | Remote | High-Growth Role)
Company: AIPMACT Solution
Location: Remote from Ukraine (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
- 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 Responsibilities
We are not expecting one person to have 100% of the skills listed. We'd love to hear from you if you have worked on projects / products related to one or more of the skills below.
AI 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
- 4 – 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 - Based in Ukraine
- 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