Birlasoft Limited
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Noida · On-site · 3-5 Yrs · Aug 24
Enterprise Software & Network Solutions · 10000+ Employees · Pune, India
Navigating Change. Powering Progress. Birlasoft is a global technology company enabling “next-generation” digital transformation through expertise in Cloud, AI, Data, and enterprise solutions. Combining industry proficiency with advanced digital capabilities, it helps businesses accelerate change with speed, scale, and purpose, delivering “future-ready” solutions that enhance agility, resilience, and customer experience. Part of the CKA Birla Group and led by Chairman Mrs. Amita Birla, Birlasoft’s nearly 12,000 professionals drive innovation while building a diverse, inclusive, and learning-oriented culture. With a strong focus on sustainability and long-term value creation, Birlasoft transforms enterprises and communities, earning its reputation as a trusted partner and one of the best places to work.
Hiring: Engineering
What employees say
+ Nothing much to say..as it is same as all service based companies
− Long work hours...depends on project..work life balance is difficult
More reviews on the company profile.
Interview experience · AI Test Engineer
Technical Round - Screening on AI Test Engineer on various AI fundamentals around latest technologies. LLM, AI Agent, Agentic, Input/output filters: define purpose, common techniques Prompt injection detection: direct/in
Average difficulty · Bengaluru · 637 reports
More interview insightsJob description
Overview
Design and implement GenAI and Agentic AI solutions using Databricks Genie, Databricks Agent Bricks, Mosaic AI (model training, evaluation, prompt engineering, RAG). Build scalable data pipelines using Databricks, PySpark, and SQL. Implement Delta Lake, Unity Catalog, and medallion architecture.
Responsibilities
- Design and implement GenAI and Agentic AI solutions using Databricks Genie, Databricks Agent Bricks, Mosaic AI
- Build LLM-powered use cases
- Design and build scalable data pipelines using Databricks, PySpark, and SQL
- Implement Delta Lake, Unity Catalog, and medallion architecture
- Optimize Spark jobs for performance, cost, and scalability
- Perform data ingestion, transformation, and enrichment from multiple sources
- Ensure data quality, reliability, and observability across pipelines
- Design and develop enterprise ontologies, taxonomies, vocabularies, and semantic data models
- Support AI/ML workloads by preparing high-quality, feature-ready datasets
- Develop and fine-tune LLMs/ML models using Databricks MLflow and Mosaic AI
- Implement prompt engineering, model evaluation, and guardrails for enterprise GenAI use cases
- Integrate AI solutions with enterprise data and business workflows
Qualifications
- Experience with Databricks, PySpark, SQL
- Experience building LLM-powered use cases
- Experience implementing Delta Lake, Unity Catalog, and medallion architecture
- Experience optimizing Spark jobs for performance, cost, and scalability
- Experience in data ingestion, transformation, and enrichment from multiple sources
- Experience ensuring data quality, reliability, and observability across pipelines
- Experience designing and developing enterprise ontologies, taxonomies, vocabularies, and semantic data models
- Experience supporting AI/ML workloads by preparing high-quality, feature-ready datasets
- Experience developing and fine-tuning LLMs/ML models using Databricks MLflow and Mosaic AI
- Experience implementing prompt engineering, model evaluation, and guardrails for enterprise GenAI use cases
- Experience integrating AI solutions with enterprise data and business workflows
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