AI Engineer and Data Engineer

Job Title: AI & Data Engineer

Location: Remote
Job Type: Full-Time
Experience: 3+ Years

Job Summary

We are seeking a skilled AI & Data Engineer to design, develop, and maintain scalable data pipelines, cloud-based data platforms, and AI-powered applications. The ideal candidate will have a strong background in Python, SQL, ETL/ELT processes, cloud technologies, machine learning, and Generative AI.

The candidate will be responsible for building reliable data infrastructure, preparing high-quality datasets, and developing AI/ML solutions that support business intelligence, advanced analytics, and intelligent automation.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL/ELT workflows.

• Build data ingestion, transformation, and processing solutions using Python and SQL.

• Develop and optimize data warehouses, data lakes, and cloud-based data platforms.

• Work with AWS, Azure, or Google Cloud Platform for data engineering and AI workloads.

• Develop and deploy machine learning models and AI-powered applications.

• Implement Generative AI solutions using Large Language Models (LLMs), prompt engineering, and Retrieval-Augmented Generation (RAG).

• Work with AI/ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.

• Utilize Apache Spark, PySpark, and workflow orchestration tools such as Apache Airflow.

• Work with Snowflake, Databricks, Amazon Redshift, or Google BigQuery.

• Integrate AI models and data services using REST APIs and cloud-native technologies.

• Implement data quality checks, model monitoring, and performance optimization.

• Collaborate with data scientists, software engineers, and business stakeholders to deliver scalable solutions.

• Follow best practices for data security, governance, model reliability, and deployment automation.

Required Technical Skills

• Strong proficiency in Python and SQL.

• Experience with data engineering, ETL/ELT pipelines, and data transformation.

• Knowledge of Machine Learning, Deep Learning, and AI application development.

• Understanding of Generative AI, LLMs, RAG, and prompt engineering.

• Experience with at least one cloud platform: AWS, Azure, or Google Cloud Platform.

• Familiarity with Apache Spark, PySpark, and data orchestration tools.

• Experience with data warehouses such as Snowflake, Databricks, Redshift, or BigQuery.

• Knowledge of REST APIs, Git, CI/CD, and Docker.

• Understanding of data modeling, database design, and scalable data architectures.

• Strong analytical, problem-solving, and communication skills.

Preferred Qualifications

• Experience with vector databases such as Pinecone, FAISS, or Weaviate.

• Familiarity with LangChain, LlamaIndex, and AI agent development.

• Experience with MLOps, MLflow, and AI model deployment.

• Knowledge of streaming technologies such as Apache Kafka.

• Experience building production-grade AI solutions integrated with enterprise data platforms.

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field, or equivalent practical experience.

Candidates must be authorized to work in the United States without current or future employer sponsorship.