AI Engineer (SA2)

6-8 years

Job Overview:

We are seeking a skilled AI Engineer to design, develop, and deploy AI-driven applications with strong full-stack capabilities. The role involves building scalable AI solutions, integrating front-end and back-end systems, and working with cloud and data platforms. You will collaborate with cross-functional teams to deliver high-performance AI applications aligned to business requirements.

Key Responsibilities / (Person Specifications):

• Design, develop, and deploy AI applications with strong front-end and back-end integration.
• Build scalable solutions using containerization and pipeline optimization techniques.
• Gather business requirements and translate them into technical solutions.
• Develop real-time data ingestion and analytics solutions using Python, Spark, and cloud platforms.
• Develop full-stack systems ensuring robust design, coding, and performance.
• Provide system support and collaborate with engineering teams for issue resolution.
• Operationalize AI and data analytics tools for enterprise applications.
• Ensure compliance with data governance, quality, and lineage standards.
• Follow SDLC processes for development, deployment, and delivery.
• Develop AI frameworks using open-source and advanced data processing tools.

Key Skills / Job Specifications (Mandatory):

• Strong programming skills in Python/R and Java.
• Experience with backend frameworks such as FastAPI, Flask, Django.
• Experience in AI frameworks like LangChain, LlamaIndex, Semantic Kernel.
• Full-stack development experience (React/Angular, JavaScript).
• Experience building AI/ML analytical solutions.
• Experience with Azure-based AI data platforms.

Preferred Qualifications:

• Experience with Databricks, Fabric, Spark Notebooks.
• Knowledge of SQL/NoSQL databases and Redis.
• Experience with Kafka, Hadoop, Apache Spark.
• Big data processing experience using Azure Databricks.
• Relevant certifications (Azure Data Engineer, Azure AI Engineer).
• Bachelor’s/Master’s degree in Computer Science.
• 6–8 years of relevant experience.