Application Development/ Full-Stack - W2

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Introduction: This position involves working on application development assignments and projects within the MetagenAI platform. The role requires contributing to the design and development of complex systems and subsystems, collaborating with business and IT teams, and utilizing a solid understanding of technology and tools.

Responsibilities:

• Work closely with product and IT teams to identify and implement application development solutions
• Code new or modified programs, reuse existing code, and integrate third-party solutions
• Contribute meaningfully to team discussions and delivery with strong technical knowledge in full stack development
• Participate in design reviews, code reviews, and technical discussions to ensure code quality and consistency

Requirements:

Required Skills:

• Backend (Core) - Python (FastAPI / Django / Flask), RESTful APIs, SQLAlchemy ORM, Async programming (async/await)
• Frontend (Core) - React (Modern React with hooks), JavaScript / TypeScript, State management (Redux / Context API), Material-UI or similar component libraries
• Database - PostgreSQL, SQL, Production experience, query optimization, Complex queries, indexing, schema design
• Cloud & DevOps - AWS (EC2, S3, Lambda, Glue, EKS), Docker, Kubernetes / EKS, CI/CD (Jenkins / GitLab / GitHub Actions)
• Architecture - Microservices, Experience working in distributed systems, System design, Scalability, performance, reliability, API patterns
• AI / ML Integration - LangChain or LLM orchestration frameworks, OpenAI API integration experience, Prompt engineering and embeddings, Semantic search implementation
• Specialized Databases - Neo4j or graph databases (Cypher), Vector databases (Pinecone, Weaviate, pgvector)
• Data Engineering - AWS Glue or Apache Spark, ETL / ELT pipelines, Data profiling and quality assessment

Key Responsibilities:

• Implement features across frontend (React) and backend (Python/FastAPI)
• Optimize performance of APIs, database queries, and UI components
• Debug and resolve production issues
• Translate product requirements into technical implementations
• Collaborate effectively with product, data, and AI teams
• Follow established coding standards and best practices

Education: Requires Master''s or foreign equivalent degree in computers or engineering or a bachelor''s or foreign equivalent degree in computers or engineering Skills and Experience

Minimum Degree Required: Master''s Degree