AI Engineer (mid-level/senior)
Lucidya View all jobs
- New Delhi
- Permanent
- Full-time
- Design, develop, and optimize AI Agents
- Build evaluation for AI Agent performance, ensuring that AI Agents are working as expected
- Research and optimise the way we do things
- Contribute to the development of the Lucidya AI Agent platform
- Deploy AI models into production environments with a focus on scalability, performance, and reliability.
- Collaborate on MLOps practices to support continuous integration, monitoring, and improvement.
- Ensure AI systems integrate smoothly with existing platforms and workflows.
- Work closely with software engineers, product managers, and domain experts
- Translate business problems into effective AI solutions with measurable outcomes.
- Contribute to solution design for enterprise solutions and long-term deployments.
- Ensure AI solutions comply with ethical standards, data privacy requirements, and legal regulations.
- Document models, algorithms, workflows, and decisions clearly for internal and external stakeholders.
- Stay up to date with the latest AI research, tools, and best practices; and apply them where valuable.
- 3+ years of hands-on experience building and deploying AI-driven systems, with a proven track-record of achieving business value from AI agents - not just using self-serve frameworks like n8n
- Strong programming skills in Python (Java is a plus).
- Hands-on experience with machine learning and deep learning techniques.
- Practical experience using TensorFlow, OpenAISDK or similar frameworks.
- Experience deploying AI models into production or production-like environments.
- Strong understanding of AI evals and guardrails
- Ability to analyze complex problems and design innovative AI-driven solutions.
- Strong systems thinking, understanding how models behave in real-world environments.
- Curiosity and commitment to continuous learning in a fast-evolving AI landscape.
- Proactivity is key - not just a task doer
- Comfortable working in cross-functional, product-driven teams.
- Able to clearly document and explain technical concepts to diverse stakeholders.
- Experience with NLP, conversational AI, or agent-based systems.
- Exposure to enterprise AI deployments or SaaS platforms.
- Familiarity with MLOps, monitoring, and model lifecycle management.
- Experience working with multilingual or Arabic language data.
- Work on real, enterprise-grade AI agents, not just experiments.
- Shape a new business unit from the ground up.
- Solve meaningful CX and operational challenges across the MENA region.
- Collaborate with a highly skilled AI, data, and product team.
- Build AI that is responsible, scalable, and impactful.