Tech Lead

• 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 • 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, auditability, monitoring, evaluation, regression testing, scalability and cost management • Experience leading technical teams while continuing to contribute to development • Strong client-facing and communication skills • Experience working in Agile delivery environments • Ability to move from Client Problem → Solution Architecture → Technical Design → Team Guidance → Hands-on Coding → Code Review → Deployment → Production Support 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 troubleshooting Key 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 • 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 • Ensure technical quality throughout the project • Work closely with Project Managers, Business Analysts, Solution Architects, QA and DevOps teams • Own technical delivery and ensure alignment with agreed architecture • 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 discussions • Take AI solutions beyond prototype into production, including security, governance, evaluation, monitoring, scalability, performance and cost management something around - Anthropic Claude certifications (particularly CCAF for architects), Microsoft AI-103, AWS Certified Generative AI Developer – Professional. Education / 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