Opsfleet

We are seeking a talented and experienced AI Engineer with a Data Science background to join our professional services team of 50+ engineers. The position is available full-time, with part-time arrangements possible for the right candidate. This remote-first role focuses on Generative AI development, specifically building and deploying advanced Large Language Models (LLMs) and AI agents. You'll work with state-of-the-art foundation models through platforms like AWS Bedrock and GCP Vertex AI to develop innovative GenAI applications and scalable AI infrastructure for our clients.

Key Responsibilities:

Generative AI Development:

• Design and implement production-ready generative AI applications and AI agents using foundation models and cutting-edge protocols like MCP and A2A
• Fine-tune and optimize LLMs for specific use cases and domains
• Create and maintain prompt engineering strategies and evaluation frameworks
• Design and deploy autonomous AI agents with targeted capabilities

AI/ML Engineering:

• Build end-to-end LLM pipelines for fine-tuning, deployment, and monitoring
• Implement RAG (Retrieval-Augmented Generation) systems
• Create efficient vector storage and embedding solutions

Infrastructure and Operations:

• Build and maintain robust AI infrastructure using AWS and GCP services
• Implement monitoring systems for model performance and infrastructure health
• Optimize cloud resources for cost-efficiency while maintaining performance

Preferred Qualifications:

• 4+ years of experience in AI, machine learning, or data science, with a recent focus on Generative AI
• Strong programming skills and experience with LLM and Agent frameworks (LangChain, CrewAI)
• Expertise in cloud platforms (AWS, GCP) and containerization technologies
• Deep understanding of LLM operations, including prompt engineering and RAG
• Experience with vector databases and semantic search implementations
• Experience building and deploying AI agents using modern frameworks
• Strong analytical and problem-solving abilities

Employment Options:

• Full-time position (40 hours/week)
• Part-time arrangements available for qualified candidates (minimum 20 hours/week)

Benefits:

• Potential career paths include AI Team Lead
• Collaborative remote team environment
• Opportunity to contribute to open-source GenAI initiatives and research publications

We are seeking a talented and experienced Data Engineer to join our professional services team of 50+ engineers, on a full-time basis. This remote-first position requires in-depth expertise in data engineering, with a preference for experience in cloud platforms like AWS, Google Cloud. You will play a vital role in ensuring the performance, efficiency, and integrity of data pipelines of our customers while contributing to insightful data analysis and utilization.

About us: 

Opsfleet is a boutique services company who specializes in cloud infrastructure, data, AI, and human‑behavior analytics to help organizations make smarter decisions and boost performance.

Our experts provide end‑to‑end solutions—from data engineering and advanced analytics to DevOps—ensuring scalable, secure, and AI‑ready platforms that turn insights into action.

Role Overview

As a Data Engineer at Opsfleet, you will lead the entire data lifecycle—gathering and translating business requirements, ingesting and integrating diverse data sources, and designing, building, and orchestrating robust ETL/ELT pipelines with built‑in quality checks, governance, and observability. You’ll partner with data scientists to prepare, deploy, and monitor ML/AI models in production, and work closely with analysts and stakeholders to transform raw data into actionable insights and scalable intelligence.

What You’ll Do

* E2E Solution Delivery: Lead the full spectrum of data projects—requirements gathering, data ingestion, modeling, validation, and production deployment.

* Data Modeling: Develop and maintain robust logical and physical data models—such as star and snowflake schemas—to support analytics, reporting, and scalable data architectures.

* Data Analysis & BI: Transform complex datasets into clear, actionable insights; develop dashboards and reports that drive operational efficiency and revenue growth.

* ML Engineering: Implement and manage model‑serving pipelines using cloud’s MLOps toolchain, ensuring reliability and monitoring in production.

* Collaboration & Research: Partner with cross‑functional teams to prototype solutions, identify new opportunities, and drive continuous improvement.

What We’re Looking For

Experience: 4+ years in a data‑focused role (Data Engineer, BI Developer, or similar)

Technical Skills: Proficient in SQL and Python for data manipulation, cleaning, transformation, and ETL workflows. Strong understanding of statistical methods and data modeling concepts. Soft Skills: Excellent problem‑solving ability, critical thinking, and attention to detail. Outstanding written and verbal communication.

Education: BSc or higher in Mathematics, Statistics, Engineering, Computer Science, Life Science, or a related quantitative discipline.

Nice to Have

Cloud & Data Warehousing: Hands‑on experience with cloud platforms (GCP, AWS or others) and modern data warehouses such as BigQuery and Snowflake.