About this role
The team is seeking a Forward Deployment Engineer to join their team in Hyderabad. This role focuses on deploying AI solutions into production environments, ensuring reliability and security while working closely with enterprise clients.
Key Responsibilities:
- Package and deploy AI/LLM applications and agent workflows onto the team AWS infrastructure.
- Build and maintain CI/CD pipelines that ship AI services safely and repeatably.
- Containerise services with Docker and run them on Kubernetes.
- Provision infrastructure as code with Terraform, integrating the required identity, security, and networking.
- Set up model and application serving, including AWS Bedrock integrations and vector database infrastructure.
- Add observability and cost tracking for AI workloads.
- Integrate AI solutions into existing legacy systems and regulated data environments.
- Automate repetitive deployment and operations tasks.
- Collaborate with client engineers over Teams, Slack, and email, and keep deployment runbooks current.
Required Qualifications:
- Proven DevOps, platform, or deployment engineering experience shipping to production.
- Solid CI/CD and release-automation experience.
- Hands-on production experience with Docker and Kubernetes.
- Infrastructure as Code experience and strong AWS fluency.
- Scripting ability for automation (Python and/or Bash).
- Ability to integrate into a client's existing identity, security, and networking setup.
- A real understanding of how AI and LLM applications are deployed and run in production, including model serving and RAG/vector infrastructure.
- AWS Certified Solutions Architect Associate or AWS Certified DevOps Engineer Associate.
Preferred Qualifications:
- Experience deploying inside regulated settings with governance and change management.
Experience required for this role is between 3 to 6 years.
What we offer:
- Opportunity to work on cutting-edge AI technologies.
- Collaborative work environment with a focus on innovation.
- Professional development and growth opportunities.
Applications are read by our talent team, usually within two working days.
If you look like a fit we will call you, and you will hear from us either way.