<p>We are looking for a <strong>Senior AI Engineer</strong> to help design, architect, and deploy advanced Generative AI solutions in production. This role will contribute to the development of LLM-based systems, agentic workflows, and applied AI initiatives, while partnering closely with Engineering, Product, and MLOps teams. </p><p>The ideal candidate combines strong hands-on technical expertise with solid software engineering practices, and is comfortable taking AI solutions from design through production while balancing scalability, reliability, and business impact. </p><h3>Job Description </h3><ul><li><p>Contribute to the architecture and implementation of production-grade AI solutions leveraging LLMs, transformer-based models, RAG pipelines, and agentic systems. </p></li></ul><ul><li><p>Design, develop, and optimize multi-step AI agents capable of tool/API invocation, reasoning chains, and state management. </p></li></ul><ul><li><p>Support the deployment and optimization of AI-powered applications across cloud environments (AWS, Azure, or GCP), ensuring scalability, reliability, and cost-efficiency. </p></li></ul><ul><li><p>Contribute to best practices for prompt engineering, evaluation frameworks, and model performance monitoring (latency, grounding, factuality, cost). </p></li></ul><ul><li><p>Implement guardrails and Responsible AI practices, including prompt injection mitigation, content moderation, bias reduction, and safety controls. </p></li></ul><ul><li><p>Collaborate cross-functionally with Data Scientists, Software Engineers, and Product stakeholders to take AI solutions from prototype to full production. </p></li></ul><ul><li><p>Share knowledge and support other engineers in developing high-quality, modular, and maintainable Python code. </p></li></ul><ul><li><p>Contribute to experimentation strategies, help define KPIs, and promote data-driven decision-making across AI initiatives. </p></li></ul><ul> <li>Degree in Computer Science, Data Science, Engineering, or related field (or equivalent practical experience). </li> <li><p>Strong expertise in transformer-based models and LLM architectures. </p></li> </ul><ul><li><p>Proven experience designing and deploying applied machine learning or generative AI systems to production environments. </p></li></ul><ul><li><p>Hands-on experience with LLM frameworks such as LangChain, LlamaIndex, OpenAI API, CrewAI, Azure Prompt Flow, AWS Bedrock Agents, or similar tools. </p></li></ul><ul><li><p>Advanced proficiency in Python and production-grade coding practices. </p></li></ul><ul><li><p>Experience with containerization, CI/CD pipelines, versioning, and cloud-native architectures. </p></li></ul><ul><li><p>Strong leadership skills with the ability to bridge rapid prototyping and scalable production deployment. </p></li></ul><ul><li><p>Excellent collaboration and communication skills, with experience working at the intersection of Data Science and Engineering. </p></li></ul><h3>Our Perks and Benef