About the job:

About Client:

We are pioneering the Autopilot Enterprise. Our conversational AI agents handle workflows, drive outcomes, and deliver measurable impact for businesses. Born from the belief that enterprises need a new playbook, we build autonomous, multilingual agents capable of complex reasoning, contextual understanding, and end-to-end workflow ownership.

Role Overview:

We are seeking an experienced ML Engineers (Senior) to drive the development of next-generation conversational and dynamic AI agents. You will architect and scale systems that enable:

Conversational Agents (Voice & Chat):

- Human-like, open-ended dialogues without rigid workflow design.

- Dynamic reasoning to achieve goals (e.g., selling a personal loan).

- Continuous self-learning from conversation outcomes.

- Operating at minimal latency and cost.

Dynamic Workflow Agents:

- Agents that learn workflows (Sales, Support, Admin) by observing humans.

- Self-learning from live agent behavior, recordings, and transcripts.

- Ability to see, process/understand, reason, and interact with GUIs/browsers.

- One-shot learning from escalations, ensuring accurate human-AI collaboration.

- Human agent assist & copilot features driven by workflow context.

This is a rare opportunity to shape how enterprises adopt agentic AI, working directly at the intersection of AI research, applied ML, scalable infrastructure, and real-world enterprise workflows.

Key Responsibilities:

1. Leadership & Vision:

- Lead and mentor a team of engineers building agentic AI systems.

- Define technical vision, architecture, and product strategy.

2. Architecture & Delivery:

- Design and scale enterprise-grade AI products leveraging reinforcement learning, computer vision, and LLM fine-tuning.

- Drive low-latency, cost-optimized systems in production.

- Ensure robust engineering standards, testing, and security practices.

3. Innovation & Integration:

- Develop pipelines for self-learning agents from conversations and human workflows.

- Architect systems for human-in-the-loop escalation and AI copilots.

- Collaborate with product, design, and research teams to deliver real-world outcomes.

4. Operational Excellence:

- Establish CI/CD pipelines, automation, and best practices.

- Proactively identify risks and resolve technical challenges.

- Optimize for scalability, reliability, and enterprise integration.

What are we looking for:

- Experience: 2-8 years of experience.

- AI/ML Skills: Strong expertise in Reinforcement Learning, Computer Vision, LLM fine-tuning, and applied ML research.

- Systems Expertise: Proven ability to build and scale large-scale distributed systems and enterprise-grade products.

- Infrastructure Skills: Deep understanding of cloud platforms (AWS, GCP, Azure) and scalable architecture.

- Hands-on Engineering: Proficiency in Python, Go, Java, or equivalent languages.

- Mindset: Passion for building product-first AI systems (not services), strong execution ability, and innovation-driven leadership.

Why Join:

- Work at the cutting edge of AI and enterprise technology.

- Be part of a mission-driven, high-growth startup.

- Direct impact on products used by large-scale enterprise clients.

- A vibrant and dynamic work environment fostering professional growth and innovation.

- Competitive compensation and performance-based incentives.

- A front-row seat in the GenAI revolution, working with a team of passionate, like-minded innovators.