AI Systems Developer

21 hours ago

Vadodara, Gujarat, India beBeeAI Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Enterprise AI Engineering: A High-Impact Career Opportunity

About the Role

We are seeking an experienced Senior AI Engineer to join our team and drive the development of agentic intelligence for our platform. As a key member of our engineering team, you will be responsible for designing, implementing, and deploying AI agents that operate reliably under enterprise constraints.

The successful candidate will have a strong foundation in deep learning, reinforcement learning, or robotics, with hands-on experience in LLM fine-tuning, RLHF, or synthetic data generation. You will also have a proven track record of shipping AI systems into production and experience working with cloud-native architectures, Kubernetes, and MLOps tooling.

Your contributions will play a critical role in shaping the core intelligence layer of our product and ensuring its enterprise-readiness from day one.

Responsibilities

  • Design and implement AI agents that operate reliably under enterprise constraints, including multi-cloud environments, zero data egress, and compliance requirements.
  • Develop and test reasoning workflows, prompting strategies, and tool-use policies tailored for large-scale observability data.
  • Utilize techniques such as fine-tuning, RLHF, and reward modeling to ensure AI behavior aligns with real SRE workflows.
  • Create scalable pipelines for producing synthetic incidents—logs, metrics, traces—used for training and benchmarking in scenarios with limited data.
  • Collaborate closely with infrastructure engineers, SREs, and product leaders to incorporate AI research into the platform.
  • Design systems with built-in observability, monitoring, and CI/CD processes, ensuring failover, rollback, and resilience capabilities.

Requirements

  • 5+ years of production experience building and deploying ML/AI systems at scale.
  • PhD or Master's in Computer Science, Machine Learning, or related fields (or equivalent experience).
  • Strong foundation in deep learning, reinforcement learning, or robotics.
  • Hands-on experience with LLM fine-tuning, RLHF, or synthetic data generation.
  • Proven track record of shipping AI systems into production (not just research prototypes).
  • Experience with cloud-native architectures (AWS/Azure/GCP), Kubernetes, and MLOps tooling (SageMaker, MLflow, Ray, Kubeflow).
  • Comfort working with large-scale data streams (Kinesis, Kafka, Flink) and vector databases (OpenSearch, Pinecone, Weaviate).
  • Strong collaboration skills and ability to communicate across research, engineering, and product teams.

Benefits

  • Work on high-impact AI challenges that sit at the intersection of AI, DevOps, and enterprise reliability.
  • Shape the core intelligence layer of a product designed to be enterprise-ready from day one.
  • Collaborate with a world-class founding team experienced in AI, DevOps, and large-scale systems.
  • Competitive compensation and equity (ESOPs) opportunities.
  • A culture that values research rigor, engineering excellence, and execution speed.

Why This Role Matters

  • This is a unique opportunity to work on a cutting-edge AI project that has the potential to make a significant impact in the industry.
  • You will be part of a talented team of engineers and researchers who share your passion for AI and DevOps.
  • You will have the chance to develop new skills and expertise in areas such as LLMs, reinforcement learning, and synthetic data generation.
  • You will be able to see the direct impact of your work on the product and the company's success.

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