Test - AI and Data Engineer
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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:
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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.
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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.
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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
Skills
- Agentic AI
- AI
- Anthropic
- API
- Automation
- AWS
- Azure
- CI/CD
- Cloud
- CRM
- Cybersecurity
- Data Governance
- Data Science
- Deep Learning
- Docker
- ERP
- GCP
- Generative AI
- Git
- JSON
- LangChain
- LlamaIndex
- LLM
- Machine Learning
- MLOps
- Model Evaluation
- NoSQL
- OpenAI
- Prompt Engineering
- Python
- PyTorch
- RAG
- REST
- scikit-learn
- Semantic Search
- SQL
- TensorFlow
- Vector Databases
- Version Control