• 8–12+ years of overall software engineering experience
• 3+ years of solid hands-on experience in AI/ML, GenAI or related AI engineering
• Strong hands-on Python development
• Strong recent hands-on experience building GenAI/LLM-based applications
• Strong experience with LLMs, prompt engineering, structured outputs and tool/function calling
• Hands-on experience with RAG, embeddings, vector databases, document processing, chunking, retrieval and reranking
• Hands-on experience with AI agents and agent orchestration, including multi-step workflows, tool-using agents, memory/state management and human-in-the-loop patterns
• Experience with LangChain, LangGraph, LlamaIndex, Semantic Kernel or similar frameworks
• Good understanding of MCP and emerging standards for connecting AI agents with enterprise systems and tools
• Experience with backend development using FastAPI, Flask, Django or similar frameworks
• Strong understanding of REST APIs, microservices and distributed application architecture
• Experience integrating enterprise applications,



databases and third-party APIs
• Strong coding, debugging, troubleshooting and performance optimisation skills
• Experience owning solution architecture and technical design for enterprise applications
• Experience taking solutions from discovery/prototype through development and production deployment
• Hands-on exposure to at least one major cloud platform: Azure, AWS or GCP
• Experience with Docker, Kubernetes, CI/CD, cloud-native application deployment, API management, logging/monitoring and identity/access management
• SQL and relational databases; NoSQL databases; vector databases
• Data ingestion and transformation pipelines; API-based integration; event-driven/asynchronous processing
• Understanding of enterprise authentication/authorization, data privacy, PII handling and enterprise security requirements
• Understanding of secure AI architecture, data protection, prompt/input security, AI guardrails, logging, audita

📌 Tech Lead (India)
🏢 Latent Bridge
📍 India