Senior AI Engineer

At FrAIday, we are architecting the next generation of Enterprise AI. We aren't just "using" AI; we are building the fundamental stack that allows businesses to automate complex workflows with precision and scale. We are looking for a high-agency AI Engineer who thrives in the space between backend systems and cutting-edge model orchestration. If you’re a builder who loves solving high-stakes problems and wants to own a product end-to-end, you belong here.

This is a full-time, on-site role for an AI Engineer located in New Delhi, India.

Role Description

• Architect & Execute: Own the full product lifecycle - from initial design and architectural decisions to deployment and continuous improvement of our enterprise stack.
• System Optimization: Triage, debug, and eliminate bottlenecks in complex distributed systems to ensure our AI workloads run at peak efficiency.
• Infrastructure Innovation: Build and customize infrastructure that enables seamless tuning, automated debugging, and sophisticated workload orchestration.
• Feature Ownership: Lead the end-to-end delivery of new features, collaborating across teams to turn conceptual AI capabilities into production-ready tools.

Qualifications

• Minimum work experience of 3-5 years
• Core Engineering: Mastery of Python and/or Go. You write clean, performant and maintainable code.
• Data & Scaling: Deep experience with relational databases (PostgreSQL, MySQL) and architecting distributed systems using messaging queues like Kafka.
• Cloud Native: A strong grasp of Docker, Kubernetes, and cloud-scale deployment within AWS, GCP or Azure.
• Analytical Rigor: A natural ability to deconstruct complex problems and implement elegant, scalable solutions.

The Edge: Preferred Qualifications

• AI Orchestration: Proven experience building and deploying Large Language Models (LLMs) in production environments.
• Framework Expertise: Hands-on experience with LangChain, LlamaIndex or similar agentic frameworks.
• Infrastructure Depth: A background in System Software or DevOps with a focus on high-availability distributed systems.
• Communication: The ability to articulate technical tradeoffs to both technical and non-technical stakeholders.
• Bachelor’s or higher degree in Computer Science, Artificial Intelligence, Machine Learning or a related field.
• Prior experience in BFSI sector or similar industries is advantageous.