Senior AI/ML Engineer

 Analyse business requirements and design scalable backend systems, AI workflows, architectures, and implementation approaches

- Develop, maintain, and optimize AI-powered applications using LLMs, RAG pipelines, OCR systems, and Agentic AI frameworks

- Research, evaluate, benchmark, and implement suitable AI/ML models, embeddings, prompts, retrieval strategies, and frameworks based on business requirements.

- Conduct experiments, benchmarking, and PoC implementations for new AI capabilities and technologies

- Implement secure, reliable, and production-ready AI systems with proper guardrails, validation mechanisms, observability, and performance optimization

- Troubleshoot complex technical issues, identify root causes, and provide scalable long-term solutions

- Contribute to architecture decisions, task estimation, technical discussions, coding standards, testing, and development best practices

- Integrate third-party APIs, cloud platforms, and external AI providers into the product ecosystem

- Communicate technical solutions and project updates effectively with technical and non-technical stakeholders

- Use AI-assisted engineering tools to improve development productivity and engineering workflows.

- Mentor junior developers by providing technical guidance, design recommendations, and implementation support.