LatentBridge - Technical Lead - Generative AI in India, भारत

Role : GenAI / AI EngineeringRole Focus : Hands-on technical leadership across GenAI, LLM applications, RAG, AI agents, backend engineering and enterprise cloud https://jobeax.com/link/Dyj5EEWBHKz7b2Eh : 8 - 12+ years overall software engineering experience, including 3+ years of strong hands-on AI/ML, GenAI or related AI engineering https://jobeax.com/link/X1Xkkw7VyKaV09Nr Overview : - Translate client and business problems into practical technical solutions and scalable solution architecture.- Own the architecture and technical design of AI, GenAI and agentic AI solutions while remaining hands-on with development.- Move solutions from discovery and prototype through development, production deployment and production support.- Lead and guide engineers while contributing to coding, debugging, code reviews, performance optimisation and technical problem solving.- Work closely with clients and internal stakeholders on discovery, technical workshops, architecture decisions, estimates and solution https://jobeax.com/link/2ykUcGDeyiKHcDvL Experience & Engineering Requirements : - 8 - 12+ years of overall software engineering experience.- 3+ years of strong 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.- 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 https://jobeax.com/link/Q2WisCuLJk3XNluK, LLM & Agentic AI : - 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.- Understanding of secure AI architecture, data protection, prompt/input security, AI guardrails, logging, auditability, monitoring, evaluation, regression testing, scalability and cost https://jobeax.com/link/lfBzL4nz7GEwvZI0, Cloud & Distributed Systems : - 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.- 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 https://jobeax.com/link/jd7RJPTFkCOnxWn2 Leadership & Delivery : - Experience leading technical teams while continuing to contribute to development.- Ability to move from Client Problem - Solution Architecture - Technical Design - Team Guidance - Hands-on Coding - Code Review - Deployment - Production Support.- Break solutions into technical work packages and guide implementation.- Support estimation, sprint planning and technical task allocation.- Track technical progress and address dependencies/blockers.- Mentor team members and improve technical capabilities.- Review designs and code before higher environments and ensure technical quality throughout the project.- Work closely with Project Managers, Business Analysts, Solution Architects, QA and DevOps teams.- Work effectively in Agile delivery https://jobeax.com/link/MDvayV2ZTxyOLZYW & Collaboration Skills : - Strong stakeholder management skills with the ability to build trust, align diverse teams and communicate clearly across technical and business audiences.- Strong mentoring, coaching and conflict-resolution skills, with the ability to give constructive feedback and create a collaborative engineering culture.Client-Facing & Pre-Sales Responsibilities : - Participate in client discovery and technical workshops.- Understand client landscape, integrations, data, security and infrastructure constraints.- Explain architecture and technical decisions to technical and business stakeholders.- Present solution architecture and technical options during client reviews.- Support pre-sales with technical solutioning, estimates, architecture and feasibility assessments.- Handle technical questions and challenges during client https://jobeax.com/link/EsYN5hxnYqgOO166 Responsibilities : - Understand business requirements and translate them into the right technical solution.- Own overall architecture and technical design of AI, GenAI and agentic AI solutions.- Define application architecture, AI/LLM components, APIs, integrations, data flows, security and deployment approach.- Evaluate technology and model options based on business need, cost, performance, security and scalability.- Create architecture diagrams, technical design documents, API specifications and implementation guidelines.- Identify technical risks and drive practical solutions.- Actively contribute to coding throughout the project.- Build critical modules, prototypes, reusable components and integrations.- Develop and integrate LLM applications, RAG pipelines, AI agents and APIs.- Support complex coding, integration and performance issues.- Conduct code reviews and ensure good engineering practices.- Improve code quality, performance, security and maintainability.- Lead and guide AI/ML engineers, backend developers and other technical team members.- Take AI solutions beyond prototype into production, including security, governance, evaluation, monitoring, scalability, performance and cost management.Good-to-Have Skills : - Experience with Azure AI Foundry, AWS Bedrock, Google Vertex AI or similar enterprise AI platforms.- Experience with OpenAI, Azure OpenAI, Anthropic Claude, Google Gemini or equivalent models.- Traditional ML/ML engineering knowledge.- LLM evaluation frameworks; AI guardrails and responsible AI; LLM observability and tracing.- Model and prompt evaluation.- Token, latency and cost optimisation.- Experience building enterprise AI accelerators or reusable AI platforms.- Experience with multi-agent or agentic AI solutions.- Experience modernising existing enterprise applications using AI.- Microsoft Fabric or enterprise data platforms.- BFSI, financial services or other regulated enterprise environments.- AI security and responsible AI practices.- Experience supporting technical proposals, estimations and solution presentations.- Experience mentoring engineers and building engineering standards or reusable frameworks.- Git-based development, branching, pull requests and code reviews.- Experience with API management, secrets/configuration management and production https://jobeax.com/link/efc19ngQNtV4iGJs Certifications & Qualifications : Certifications / Credentials : - Anthropic Claude certifications, particularly CCAF for architects.- Microsoft AI-103.- AWS Certified Generative AI Developer - https://jobeax.com/link/YEnONjfTRS5Vf2UI / Qualification : - Bachelor's or Master's degree in Computer Science, Engineering, Information Technology or a related discipline.- Equivalent strong hands-on engineering experience may also be considered. (ref:hirist.tech)