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)
