Generative AI Engineer - Python/LLM
Description
Role Summary :
We are looking for an AI Developer to design, build, and deploy AI-powered solutions that automate workflows, enhance decision-making, and integrate seamlessly with enterprise systems. The role involves working with Large Language Models (LLMs), APIs, data pipelines, and cloud platforms to deliver production-grade AI applications.
Key Responsibilities :
- Design and develop AI/ML solutions using LLMs (OpenAI, Azure OpenAI, or similar)
- Build AI-driven applications such as chatbots, copilots, agents, and automation tools
- Integrate AI models with enterprise systems (APIs, databases, workflows)
- Implement prompt engineering, RAG (Retrieval Augmented Generation), and vector search
- Develop and deploy AI services using cloud platforms (Azure / AWS / GCP)
- Expertise with dealing with langchain, langgraph with databricks development.
Tech Stack & Requirements :
- Programming : Python (PyCharm, VS Code, Jupyter Notebooks)
- Data Tools : Pandas, NumPy, Dask, Matplotlib, Seaborn, Plotly
- Databases : SQL, MongoDB, Cassandra, PostgreSQL, MySQL
- DevOps : Git, GitHub, GitLab, Docker, Podman, Jenkins
- Optimization : IBM CPLEX, Gurobi
- Statistical Analysis : SPSS, SAS, R, Python
Experience :
- 6 - 8 Years of professional experience.
Skills
- AI
- API
- Automation
- AWS
- Azure
- Cassandra
- Cloud
- Dask
- Data Pipelines
- Databricks
- DevOps
- Docker
- GCP
- Git
- GitHub
- GitLab
- Jenkins
- Jupyter
- LangChain
- LangGraph
- LLM
- Machine Learning
- Matplotlib
- MongoDB
- MySQL
- NumPy
- OpenAI
- pandas
- Plotly
- Podman
- PostgreSQL
- Prompt Engineering
- Python
- RAG
- SAS
- Seaborn
- SPSS
- SQL
- Vector Search