Technical Lead

Primary Responsibilities Design, develop, and maintain scalable backend services and APIs Build microservices and event-driven architectures for AI-powered applications Develop secure and performant RESTful and/or GraphQL APIs Implement authentication, authorization, rate limiting, and monitoring Integrate Large Language Models (LLMs) from providers such as OpenAI, Anthropic, Google, or open-source models Build Retrieval-Augmented Generation (RAG) pipelines Design and maintain vector search and semantic retrieval systems Develop AI agent orchestration workflows and tool integrations Optimize inference latency, throughput, and operational costs Design efficient database schemas and data pipelines Manage structured and unstructured data used by AI systems Implement caching, queueing, and asynchronous processing workflows Build observability, logging, and monitoring solutions for AI services Required Competencies, Knowledge & Skil Bachelor's/Masters degree in computer science, Software Engineering, IT, Data Science, or related field. Data Science, Machine Learning, or Generative AI certification from recognized platforms. 7+ years of backend software engineering experience. Strong proficiency in Python, Node.js, Go, Java, or similar backend languages. Experience designing and building production APIs. Strong knowledge of databases: PostgreSQL, MySQL, or similar relational databases Redis or caching systems. Experience with cloud platforms such as AWS, GCP, or Azure. Familiarity with containerization and orchestration: Docker & Kubernetes (preferred) Strong understanding of distributed systems and system design. Experience with CI/CD and automated testing. Ability to analyze logs, troubleshoot issues, and validate backend data. Strong written and verbal communication skills. Ability to work independently and responsibly. Experience with vector databases: Qdrant & pgvector Experience with: LangGraph, LangChain, Model Context Protocol (MCP)