Website:
prismconsulting.ai
Job details:
Company Description
Prism Consulting is dedicated to creating systems that deliver measurable outcomes rather than just features. Combining strategic consulting, hands-on product leadership, and technical execution, Prism Consulting partners with organizations to define clear, outcome-driven product strategies and actionable roadmaps. The company specializes in designing Agentic AI workflows, scalable product foundations, and secure architectures that meet regulatory standards. By addressing real customer pain points, Prism Consulting empowers teams to navigate from ambiguity to clarity and move confidently toward their goals.
We are looking for a heavy-hitter AI/ML Engineer who doesn’t just build models but owns the entire SaaS lifecycle. You will be responsible for building Agentic AI workflows (using frameworks like LangChain, CrewAI, or AutoGen) and ensuring they are deployed flawlessly on AWS/Hetzner.
The ideal candidate has "war stories" from the trenches of deployment—someone who knows exactly why data might revert in S3, how to fix race conditions in CI/CD, and how to scale an LLM-backed product to production.
Key Responsibilities
- Agentic AI Development: Design and implement autonomous agents capable of multi-step reasoning, tool-use, and self-correction.
- E2E Deployment: Build and maintain the "plumbing"—CI/CD pipelines (GitHub Actions/GitLab), Dockerization, and cloud infrastructure.
- Cloud Architecture & Storage: Manage S3-compatible storage, ensuring data consistency, versioning, and high availability. Troubleshoot complex state-sync issues.
- SaaS Integration: Connect AI backends to frontend APIs, ensuring low latency and robust error handling.
- Monitoring: Set up CloudTrail/CloudWatch to audit every "PutObject" and "Invoke" to ensure zero data loss or silent failures.
Technical Must-Haves
- AI/ML: Python, OpenAI API, LangChain/LlamaIndex, Vector Databases (Pinecone/Weaviate).
- DevOps: AWS (S3, Lambda, EC2), Hetzner Cloud, Docker, Kubernetes.
- Infrastructure: Expertise in S3 Versioning, Lifecycle Policies, and Conditional Writes.
- Tools: Terraform/Pulumi, GitHub Actions, and Shell Scripting.
Why You?
- You have successfully deployed at least one multi-tenant SaaS product and agentic AI model deployments.
- You are comfortable working in Indian IST hours with occasional syncs with US based founder.
Click on Apply to know more.