Full-Stack Developer (Python & React)

Summery

Experienced full-stack developer with 8+ years specializing in React frontend and Python/FastAPI backend, skilled in building scalable APIs and AI-powered solutions. Strong expertise in Generative AI, LangChain, vector databases, cloud services, and leading engineering teams to deliver enterprise-grade applications.

Responsibilities

• Develop and maintain frontend applications using React with a focus on hooks, state management, and modular components.

• Design, build, and optimize backend APIs and microservices using Python and FastAPI.

• Integrate AI/ML models and LLM APIs into applications for enterprise-scale solutions.

• Implement and manage vector database solutions (Milvus, Pinecone, Weaviate) to support AI workflows.

• Ensure secure access and authentication using OAuth2, JWT, and other security best practices.

• Lead and mentor engineering teams, collaborating with clients to gather requirements and deliver technical solutions.

• Manage deployment workflows using AWS services (Lambda, API Gateway, S3, EC2, RDS) and containerization with Docker.

• Monitor and maintain MLOps pipelines, including model monitoring, retraining, and CI/CD for machine learning.

• Utilize infrastructure-as-code tools (Terraform/CDK) and observability tools (CloudWatch, Prometheus, Grafana) for production environments.

Requirements

• 8+ years of full-stack development experience with React and Python/FastAPI.

• Deep knowledge of the React ecosystem: hooks, state management, and modular components.

• Proven experience building production-grade APIs and microservices.

• Strong expertise in LangChain, Generative AI, RAG pipelines, and prompt engineering.

• Hands-on experience with vector databases like Milvus, Pinecone, and Weaviate.

• Proficiency in integrating AI/ML models and LLM APIs.

• Solid experience with SQL databases (PostgreSQL, MySQL) and NoSQL databases (MongoDB, DynamoDB, Redis).

• Familiarity with AWS cloud services (Lambda, API Gateway, S3, EC2, RDS).

• Experience with containerization technologies such as Docker.

• Understanding of security best practices including OAuth2 and JWT.

• Excellent communication and client-facing consulting skills.

• Demonstrated leadership and team guidance capabilities.

• Experience with MLOps workflows and CI/CD for machine learning projects.

• Familiarity with Kubernetes, Terraform/CDK, and observability tools like CloudWatch, Prometheus, and Grafana.

• Experience delivering AI/ML solutions for enterprise clients across various industries.

• Strong understanding of advanced Generative AI techniques and enterprise LLM deployments.