Company Overview :

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 youre 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 Overview :

- 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.

- Familiarity with AI/ML tools and frameworks (e.g., TensorFlow, PyTorch) is a plus.

- Bachelors or higher degree in Computer Science, Artificial Intelligence, Machine Learning or a related

field.

- Prior experience in BFSI sector or similar industries is advantageous.