AI Software Engineer

Required Qualifications

• Expert-level proficiency in Python with modern frameworks (FastAPI, Flask).
• Strong TypeScript/JavaScript skills with deep React and Next.js experience; proven track record designing and building RESTful and GraphQL APIs.
• Solid understanding of relational (PostgreSQL, MySQL) and NoSQL (MongoDB) databases.
• Experience with authentication systems (OAuth2, JWT, SSO) and security best practices.
• Proven track record of shipping high-quality, scalable software to production.
• Hands-on experience building and deploying AI/ML applications in production environments.
• Deep understanding of LLM integration, prompt engineering, and context management.
• Proven expertise with RAG systems, including document processing, chunking, embedding, retrieval, and generation.
• Experience working with vector databases (Pinecone, Weaviate, Chroma, FAISS, or Qdrant).
• Strong grasp of semantic search, similarity algorithms, and hybrid search techniques.
• Knowledge of evaluation frameworks for assessing AI system quality and performance.
• Production experience with Docker containerization and Kubernetes orchestration.
• Strong knowledge of at least one major cloud platform (AWS, Azure, or GCP) and its AI services.
• Experience building CI/CD pipelines for ML/AI application.
• Proficiency with infrastructure as code tools (Terraform, CloudFormation, Pulumi).
• Understanding of monitoring, logging, and alerting best practices; cost optimization experience for cloud and AI workloads.
• Strong computer science fundamentals and algorithmic thinking.
• Proficiency with Git workflows, code review practices, and collaborative development.
• Excellent debugging and problem-solving skills.
• Clear technical communication and documentation abilities.