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3 AI Roles Open Right Now: Security, ML Infra & Forward Deployment

AI jobs in Bangalore and Hyderabad featuring security, ML infrastructure, and forward deployed engineering roles.
Top AI Jobs in India 2026

Three fresh openings across funded AI startups are live on Brank, spanning red-teaming, foundation model infrastructure, and forward-deployed engineering. If you’re looking to work at the founding-team level of an AI-native startup — or you’re a senior engineer eyeing a GenAI/Agentic AI pivot — these are worth a look.


1. AI Security Engineer (Red Teaming / LLM Security)

Location: Bangalore (onsite) Experience: 1–3 years Team: Founding team at a funded AI startup

About the Role

You’ll be part of the founding team building out AI security capability at an early-stage, funded startup. The mandate centers on stress-testing large language models before attackers do — probing for the failure modes that matter most as LLMs move into production systems.

What You’ll Work On

  • Red-teaming LLMs to uncover exploitable weaknesses
  • Prompt injection testing and mitigation strategies
  • Jailbreak discovery, classification, and defense design
  • Building repeatable evaluation frameworks for model safety and robustness

Who This Is For

Engineers with 1–3 years of experience who have hands-on exposure to LLM behavior, adversarial testing, or applied ML security, and who want founding-team ownership rather than a slot on an established team.


2. AI/ML Engineer — Foundation Models & Infra

Location: Bangalore (onsite) Experience: 3–5 years Team: Founding team at a funded AI startup

About the Role

A founding-team infra role for engineers who want to own the machine learning stack that powers a foundation-model product — from fine-tuning pipelines to the GPU infrastructure that serves them at scale.

What You’ll Work On

  • Fine-tuning foundation models for product-specific use cases
  • Deploying and optimizing inference with vLLM
  • Designing and managing GPU infrastructure for training and serving
  • Building the ML platform layer as an early, high-ownership hire

Who This Is For

Engineers with 3–5 years of experience in ML infrastructure, model serving, or applied deep learning, comfortable operating with minimal process at an early-stage company.


3. Forward Deployed Engineer

Location: Hyderabad Experience: 7+ years Compensation: Up to ₹50 LPA

About the Role

A senior, client-facing engineering role suited to someone who has already put in the reps as an SDE-1/SDE-2 and is now looking to specialize in GenAI/Agentic AI deployment — including candidates planning to pursue an MBA and return to a GenAI-focused track afterward.

Ideal Background

  • Strong foundation in core software engineering (SDE-1/SDE-2 level) before moving into GenAI/Agentic AI
  • 7+ years of overall experience
  • Comfortable working directly with enterprise clients to deploy and customize AI systems in production environments

How to Apply

All three roles are listed on Brank. Here’s the fastest path to applying:

  1. Create your Brank profile (if you haven’t already) — this is required before you can apply to any listed role.
  2. Find the role — job links for each of the three openings above are posted in the comments of the original listing on Brank.
  3. Click through and apply directly on the individual job post for the role you’re targeting.
  4. Keep your profile active — Brank surfaces future AI-role openings to onboarded candidates, so completing your profile now means you’ll see new roles as they go live.

Note: Direct application links weren’t included in the source post — Brank places them in the comments section of each listing. If you’d like, share those links with me and I can update this post with direct “Apply Now” buttons for each role.

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