Test - AI and Data Engineer

Powerdata Group Consulting; United States; Remote; USD 120,000 - 160,000; Full time

Benefits offered by this job

AI Data Remote

Job summary

Powerdata Group Consulting is seeking an AI Engineer to design, implement, and deploy advanced AI-driven solutions for business problems. You’ll work on ML systems, LLMs, and automation, building robust and secure applications that scale.

You will collaborate with analysts, developers, product managers, and stakeholders; deploy RAG systems, integrate AI models via APIs, and ensure data governance and security. This is a remote role with impact across enterprise AI initiatives.

Qualifications

• Bachelor’s degree in CS, AI, or related field or proven equivalent experience.
• Proficiency in Python and deep learning fundamentals.
• Hands-on with generative AI and LLMs and AI APIs.
• Experience with TensorFlow/PyTorch and ML libraries.
• Backend development, REST APIs, JSON, and API integration.
• Experience with SQL and NoSQL databases and Git versioning.

Responsibilities

• Create, test, and deploy AI/ML systems and services.
• Build apps using generative AI, LLMs, and AI APIs.
• Develop automation workflows, chatbots, and AI agents.
• Deploy RAG systems and connect models to knowledge bases.
• Design backend services and APIs for AI-driven apps.
• Process data for model training and evaluation.
• Assess model reliability, scalability, and performance.
• Apply prompt engineering and model optimization techniques.
• Uphold data governance, privacy, and security standards.
• Collaborate with analysts, developers, product managers, and stakeholders.

Skills

Python programming

Deep learning

LLMs / Generative AI

API integration

Prompt engineering

SQL/NoSQL

Git / version control

REST/JSON APIs

Education

Bachelor's degree (CS/Math/AI)

Tools

TensorFlow

PyTorch

scikit-learn

LangChain

LlamaIndex

Docker

Job description

This is a remote position. AI Engineer Summary We are looking for a talented AI Engineer to create, refine, and deploy advanced AI-driven solutions that solve genuine business problems. This role involves leveraging cutting‑edge technologies, including machine learning, Large Language Models (LLMs), and automation tools, to construct robust and secure applications. The successful applicant will combine strong coding abilities with hands‑on experience in AI development to effectively convert business needs into functional technical systems.

Responsibilities

• Create, test, and launch AI and machine learning systems.
• Build and connect applications utilizing generative AI, LLMs, and various AI APIs.
• Develop intelligent automation workflows, chatbots, and AI agents.
• Deploy Retrieval‑Augmented Generation (RAG) systems and link AI models with organizational knowledge bases and databases.
• Design and sustain backend services and APIs for AI‑driven applications.
• Process both structured and unstructured data to facilitate model training and assessment.
• Assess the reliability, scalability, accuracy, and performance of AI models.
• Apply prompt engineering strategies, optimize models, and utilize evaluation methods.
• Uphold data governance, privacy standards, responsible AI principles, and security protocols.
• Partner with business analysts, developers, product managers, and other key stakeholders.
• Track the performance of live AI solutions and drive continuous improvements.

Requirements

Essential Qualifications

• Bachelor's degree in Software Engineering, Data Science, Artificial Intelligence, Computer Science, or a comparable discipline, or proven equivalent experience.
• Proficiency in Python programming.
• Solid grasp of deep learning, machine learning, and core AI principles.
• Hands‑on experience with generative AI and LLM technologies.
• Familiarity with libraries and frameworks like scikit‑learn, TensorFlow, or PyTorch.
• Proven track record of integrating AI models via APIs (e.g., Anthropic, OpenAI, or similar providers).
• Competence in backend development, JSON, and REST APIs.
• Experience managing both SQL and NoSQL databases.
• Understanding of AI output validation, model evaluation, and prompt engineering.
• Knowledge of software development standards, testing, version control (Git), and related tools.
• Excellent communication, problem‑solving, and analytical capabilities.

Preferred Qualifications

• Background in creating multi‑step AI workflows and AI agents.
• Familiarity with semantic search, vector databases, and RAG architectures.
• Experience using tools like LlamaIndex, LangChain, or comparable platforms.
• Knowledge of cloud environments including Google Cloud, Microsoft Azure, or AWS.
• Proficiency with Docker, CI/CD pipelines, and production deployment processes.
• Insight into AI evaluation frameworks, model monitoring, and MLOps.
• Understanding of responsible AI, privacy regulations, and cybersecurity.
• Experience embedding AI into enterprise systems such as recruitment tools, ERP, or CRM.

Core Competencies

• Exceptional analytical and technical proficiency.
• Capacity to resolve intricate issues and deliver actionable solutions.
• Flexibility to collaborate effectively and work autonomously.
• Superior written and oral communication skills.
• Commitment to staying current with the fast‑paced AI landscape.
• Skill in translating complex technical details for non‑technical audiences.

Benefits

• AI Data Remote