Skills
Required
python
developer
ai
development
fastapi
model
deployment
graphql
authentication
openai
tuning
programming
multiprocessing
debugging
agile
scrum
integration
design
api
optimization
support
data
processing
training
efficiency
inference
collaboration
security
compliance
testing
code
retrieval
engineering
docker
kubernetes
azure
aws
gcp
versioning
Job
Description
Location: Thiruvananthapuram, Kerala Job Type: Full-time, On-site Job Required Skills & Qualifications: 6+ years of experience in Python development, specializing in AI-driven applications . Strong expertise in FastAPI for high-performance backend development. Experience working with LLMs (GPT, Llama, Claude, etc.) and AI model deployment. Hands-on experience with LangChain for AI-driven workflows. Experience with vector databases (FAISS, Pine cone, Weaviate, ChromaDB, etc.) . Knowledge of RESTful APIs, GraphQL, and authentication mechanisms . Familiarity with Hugging Face, OpenAI APIs, and fine-tuning LLMs . Experience in asynchronous programming, multiprocessing, and performance tuning . Strong problem-solving skills, debugging expertise, and experience in Agile/Scrum methodologies Key Responsibilities: AI Model Integration: Develop and integrate LLMs into the WayVida platform using LangChain . Backend Development: Design, develop, and optimize scalable FastAPI services for AI-driven applications. API Development & Optimization: Build and maintain high-performance APIs to support AI-based functionalities. Data Processing & Pipelines: Work with large-scale datasets for training and fine-tuning LLMs. Performance Optimization: Improve system efficiency, response times, and model inference speeds. Collaboration with AI & Product Teams: Work with data scientists and engineers to deploy AI solutions effectively. Security & Compliance: Implement best practices for secure API design, data privacy, and compliance . Testing & Code Quality: Ensure high-quality, maintainable, and well-documented code following CI/CD best practices. . Preferred Qualifications: Experience in AI-driven EdTech platforms . Knowledge of retrieval-augmented generation (RAG) and prompt engineering . Familiarity with Docker, Kubernetes , and cloud deployment (Azure, AWS, GCP) . Exposure to MLOps, model versioning, and continuous AI deployments . Show more Show less
