2 - DIFFERENT POSITIONS

Greetings,

Please mention for which position are you submitting.

2 – DIFFERENT POSITIONS

POSITION -1

Role: Forward Deployed Engineer – AI Security1

Location: San Jose, CA – 3 days a week — Hybrid

Key Responsibilities:

Lead technical onboarding and implementation for new customers, including planning, scoping, milestones, and success metrics
Own the post-sales relationship from a technical standpoint, serving as the main point of contact for customer engineering and security teams
Develop and execute structured implementation plans to ensure customers achieve First Time to Value quickly and reliably
Proactively manage risk by identifying blockers, misaligned expectations, or skill gaps – on either side – and escalating as needed
Collaborate cross-functionally with Sales, Engineering, Services and Product to ensure successful handoffs and knowledge sharing
Document repeatable processes, technical guides, implementation templates, and internal runbooks
Coordinate support needs, triage technical issues, and ensure efficient collaboration with Support and Dev. teams
Act as a customer advocate, gathering feedback and insights to inform roadmap and future services

Skills & Experience:

12+ years in a Post-Sales technical role (e.g., TAM, Solutions Engineer, Integration Engineer, Implementation Consultant, or similar)
Experience building and/or deploying AI Systems/Applications
Strong understanding of enterprise infrastructure (e.g., networking, containers, security protocols)
Experience leading technical deployments (on-prem, hybrid, or complex SaaS integrations)
Experience working with enterprise customers in regulated industries (huge bonus: AI/ML or cybersecurity products)
Excellent communication and project management skills – you can set expectations, drive timelines, and keep everyone aligned
Ability to thrive in a high growth environment – comfortable with ambiguity, self-directed, and proactive.
Red Hat Certified Specialist in OpenShift Administration – nice to have

POSITION -2

Role: AI Engineer + Scrum Master

Location: Santa Clara, CA – 2 days onsite(Preferred Locals)

We’re building a self-service LoRA / full fine-tuning platform for LLMs, deployed on AKS. This role owns the training pipeline and data pipeline — turning raw datasets into validated training inputs and running LoRA/full fine-tuning jobs on GPU infrastructure.

What you’ll do

Build and improve LoRA and full fine-tuning workflows (PyTorch + PEFT + CUDA)
Own dataset ingestion, transformation, and validation
Work within existing config and logging contracts shared with other platform teams

What you need