A role on the team that builds and operates our platforms. The engineering practice this sits inside is described under our service lines, and what the company is is on the about page.
We are looking for a Data Scientist / Gen AI Engineer to develop AI-driven solutions, with a strong focus on generative AI and LLM-based applications. The role requires owning projects end to end and translating business problems into scalable AI solutions.
- Experience: 3-5 years
- Work schedule: 5 days a week
- Location: Ahmedabad
- Notice period: immediate joiners preferred, maximum 30 days
Key responsibilities
- Build and deploy generative AI applications using large language models.
- Design and implement retrieval-augmented generation (RAG) pipelines.
- Develop AI agents and agentic workflows capable of multi-step reasoning, tool use and task automation.
- Work with embeddings, semantic search and vector databases.
- Perform data preparation and basic feature engineering for ML tasks.
- Develop and deploy machine learning models for prediction and recommendation use cases.
- Collaborate with product and engineering teams to deliver AI solutions.
- Monitor and improve model and LLM performance in production.
Generative AI and LLMs
- Hands-on experience with LLM APIs such as OpenAI, Google or Microsoft Azure AI.
- Strong understanding of prompt engineering and evaluation.
- Experience building RAG systems and working with vector databases such as FAISS, Pinecone or Weaviate.
- Familiarity with embeddings and semantic search.
Programming and ML
- Proficiency in Python.
- Experience with basic machine learning: classification, regression, clustering.
- Familiarity with pandas, NumPy and scikit-learn.
Data and deployment
- Good SQL skills.
- Experience deploying models or APIs, with a basic understanding of MLOps.
- Familiarity with a cloud platform (AWS, GCP or Azure) or with Docker.
Good to have
- Experience with frameworks such as LangChain or LlamaIndex.
- Exposure to production AI systems or real-world deployments.
- Basic data visualisation with Tableau, Power BI or Python libraries.