Job purpose :
Design & implement the best-engineered technical solutions using the latest technologies and tools.
Who You Are :
- Lead Python development efforts for GenAI and data engineering projects from architecture to deployment.
- Build and optimize LLM-powered pipelines, APIs, and services using OpenAI, Hugging Face, or similar frameworks.
- Architect and implement scalable data pipelines, transformation logic, and feature engineering for AI models.
- Collaborate with ML / AI scientists, data engineers, and product teams to deliver end-to-end GenAI solutions.
- Drive the integration of LLMs into real-time applications (e.g., chatbots, summarizers, copilots).
- Design and maintain efficient, reusable, and reliable Python code using modern frameworks (FastAPI, Django).
- Ensure high code quality through unit testing, code reviews, and adherence to best practices.
- Optimize performance, cost, and scalability of AI-powered backend systems in cloud-native environments.
- Provide technical guidance and mentorship to junior engineers.
What will excite us :
5+ years of professional experience in Python backend development.2+ years of experience working with GenAI / LLMs (OpenAI, Hugging Face, LangChain, etc.).Hands-on experience with FastAPI, Django, or Flask for scalable API development.Strong experience in data engineering : ETL pipelines, data wrangling, feature engineering, and processing large datasets.Experience working with Vector Databases (e.g., Pinecone, Weaviate, FAISS) and embedding models.Solid grasp of asynchronous programming, RESTful API design, and microservices.Proficiency with SQL / NoSQL databases, data lakes, and cloud platforms (AWS / GCP / Azure).Familiarity with CI / CD pipelines, Docker, and container orchestration (Kubernetes is a plus).Excellent communication and leadership skills with experience mentoring teams or leading projects.What will excite you :
Experience with LangChain, LLMOps, or RAG (Retrieval-Augmented Generation) systems.Exposure to MLOps tools like MLflow, Kubeflow, or Vertex AI.Knowledge of data governance, privacy, and compliance in AI applications.Contributions to open-source projects in Python, AI / ML, or data engineering domains.Work location : Ahmedabad (Work from Office)