to join our team. The ideal candidate should have hands-on experience in Python, FastAPI, SQLAlchemy, API development, and applying Generative AI use cases in real-world applications.
Key Responsibilities
Develop, test, and deploy
RESTful APIs
using
FastAPI
.
Build and optimize backend services and workflows using
Python
and
SQLAlchemy
.
Integrate
GenAI models
(OpenAI, Hugging Face, LangChain, or similar) into various product features.
Work with vector databases, embeddings, prompt engineering, and LLM pipelines.
Collaborate with cross-functional teams to understand requirements and translate them into technical solutions.
Optimize system performance, ensure scalability, and maintain code quality.
Debug, troubleshoot, and resolve application issues.
Write clean, maintainable, and well-documented code.
Required Skills
Strong proficiency in
Python
.
Experience in
FastAPI
and building API-based applications.
Hands-on experience with
SQLAlchemy
and relational databases.
Understanding of
GenAI concepts
, including:
LLMs and prompt engineering
Building AI-powered APIs
Working with embeddings, RAG, and model fine-tuning
Familiarity with Git, CI/CD pipelines, and cloud platforms (AWS/GCP/Azure preferred).
Strong problem-solving and debugging skills.
Good to Have
Experience with Docker, Kubernetes, or containerized deployments.
Knowledge of vector databases like
Pinecone, ChromaDB, FAISS
, etc.
Exposure to microservices architecture.
Understanding of machine learning fundamentals.
Job Type: Full-time
Work Location: In person
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