GenAI Engineer
First seen by Alion on Sep 1, 2026.
Role : Data Scientist AI & Generative AI
Job Overview :
We are looking for a Data Scientist to build and deploy AI and Generative AI solutions that improve customer experience, business efficiency, and decision-making.
The role involves working with Python, SQL, LLMs, RAG, and Agentic AI to develop production-ready AI applications and workflows.
Key Responsibilities :
- Develop and deploy AI and Generative AI solutions.
- Build AI applications, workflows, and data pipelines using Python and SQL.
- Work with structured and unstructured data for AI/ML use cases.
- Apply prompt engineering and evaluate LLM outputs for quality and accuracy.
- Develop RAG pipelines and integrate Agentic AI frameworks.
- Implement AI monitoring, observability, and MLOps practices.
- Work with business and technical teams to understand requirements and deliver practical solutions.
- Present findings, recommendations, and results clearly to stakeholders.
Minimum Qualifications :
- Masters degree / postgraduate degree in STEM such as :
1. Data Science
2. Statistics
3. Computer Science
4. Engineering
5. Operations Research
6. Artificial Intelligence
7. Related STEM fields
- 2 - 7 years of experience in Data Science, AI Engineering, Machine Learning, or Analytics.
- Strong Python and SQL skills.
- Good understanding of LLMs, Prompt Engineering, Embeddings, RAG, and Agentic AI.
- Experience with relational databases such as SQL Server, Snowflake, BigQuery, or Teradata.
- Knowledge of Git, AI Observability, and MLOps.
- Strong analytical and problem-solving skills.
- Good communication and presentation skills.
- Must be legally authorized to work in India without sponsorship.
Good to Have :
- Specialization/coursework in AI, ML, Statistics, or Cloud Computing.
- Experience deploying GenAI/RAG/LLM applications in production or staging environments.
- Cloud experience with AWS, Azure, or GCP.
- Knowledge of RAGAS, TruLens, LangSmith, or MLflow.
- Understanding of ML models such as Regression, Classification, and Ensemble Methods.
- Relevant AI/ML/Cloud/MLOps certifications.
Skills
Generative AI, Artificial Intelligence, Data Science, Data Scientist, Python, SQL, LLM, MLOps, Agentic AI, RAG