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Test – AI and Data Engineer

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

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.