Artificial Intelligence Engineer(Software)

AT&T AI Engineer (Software)

Location: Remote but local to Bangalore

Duration: 12 months with extensions (long-term)

Hours: IST with some US meeting crossover

Required Skills & Experience

-API Software Engineer background with Python

-Gen AI project exposure

-Databricks

-Cloud - they use Azure but any cloud is fine.

Plus: Langraph

A customer is looking for seasoned AI engineers one with a software focus and one with a data focus. They will be developing a platform using fast APIs, Python and Langraph and integrating with cloud technologies.

1.Data Engineering & Management

Data Wrangling: Proficiency in cleaning, transforming, and merging large, diverse datasets (CSV, SQL, APIs, Excel, etc.).

Databricks Experience: Hands-on experience with Databricks notebooks, clusters, and workflow orchestration.

ETL Pipelines

2. Analytics & Forecasting

Statistical Analysis: knowledge of statistics, time series analysis, and forecasting techniques (ARIMA, Prophet, etc.).

Machine Learning: Experience building, training, and validating predictive models.

GenAI Integration: Familiarity with generative AI frameworks, prompt engineering, and agentic workflows for automating analytics tasks.

3. Programming & Automation

Python Proficiency

API Utilization

Databricks

4. Collaboration & Version Control

Git & GitHub: knowledge of Git workflows (branching, pull requests, code review) and experience collaborating on shared codebases.

5. Visualization & Communication

Data Visualization: Ability to create dashboards and visualizations (Matplotlib, Seaborn, Power BI, or Databricks visualization tools).

Presentation Skills: Comfortable presenting findings and recommendations.