# RL Environment Engineer - Agentic AI Security

Role : RL (Reinforcement Learning) Environment Engineer - Agentic AI Security About the role : Frontier AI agents learn how to act, safely or not, inside reinforcement learning environments. The quality of those environments sets the ceiling on what agents learn and how much any test of them can be trusted. Building environments that are realistic, verifiable, and hard to game is now one of the most important engineering problems in AI. As an RL Environment Engineer, you build the environments frontier agents are trained and evaluated in, with a focus on AI security, cyber, and agentic safety. You turn scenario designs from offensive security engineers and alignment scientists into stateful, reproducible environments with rewards that hold up under optimization. What you'll do : - Build agentic environments : Implement stateful, containerized environments where agents use tools, browsers, terminals, and APIs to complete multi-step tasks. Define clean observation and action spaces, tool schemas, and task specs. - Design rewards and verifiers : Write programmatic graders and verifiers that check end state, not just final answers. Combine rule-based checks, state diffs, and mo

- **Id**: 4019690
- **Url**: <https://alion.io/job/innodata-rl-environment-engineer-agentic-ai-security>
- **Role**: AI/ML
- **Role family**: AI/ML
- **Seniority**: middle
- **Work mode**: on_site
- **Hiring geo confidence**: structured
- **Locations**: India
- **Countries**: IN
- **Hiring countries total**: 0
- **Experience years min**: 4
- **Visa sponsorship**: no
- **Relocation package**: no
- **Has equity**: no
- **Status**: live
- **First seen at**: 2026-11-10T13:25:35Z
- **Last verified at**: 2026-11-10T13:25:35Z
- **Board verified**: no
- **Days open**: 0
- **Description format**: text
- **Description chars**: 3977
- **Description truncated**: no
- **Relocation offered**: no
- **Industries**: Artificial Intelligence, Data Entry & Processing, AI Training Data & Annotation

## Company

- **Id**: 48089
- **Name**: Innodata
- **Domain**: innodata.com
- **Url**: <https://alion.io/company/innodata>
- **Is staffing agency**: no
- **Employer type**: direct
- **Is intermediary**: no
- **Ats vendor**: Greenhouse

### Truth index

- **Grade**: B
- **Score**: 78
- **Open postings**: 9
- **Ghost share**: 0
- **Stale share**: 0.889
- **Repost share**: 0
- **Time to fill p50 days**: 45
- **Computed at**: 2026-11-10T06:52:35Z

## Technologies

- **AI Agents** — Optional: no
- **Computer Use** — Optional: no
- **Docker** — Optional: no
- **Function Calling** — Optional: no
- **GRPO** — Optional: no
- **Linux** — Optional: no
- **Model Context Protocol** — Optional: no
- **Post-training** — Optional: no
- **Python** — Optional: no
- **Reinforcement Learning** — Optional: no
- **RLHF** — Optional: no
- **Gymnasium** — Optional: yes
- **Harbor** — Optional: yes
- **Kubernetes** — Optional: yes
- **LLM** — Optional: yes

## Trust

- **Level**: not_scored
- **Days open**: 0

## Requirements

- **Experience years min**: 4
- **Manages managers**: no
- **Security clearance**: no

## Lifecycle

- Event: open; At: 2026-11-10T14:30:35Z

## Liveness

- **Score**: 86
- **Band**: hot
- **Label**: Hiring now
- **P open**: 1
- **P active**: 0.86
- **P room**: 1
- **Age days**: 0
- **Expected fill days**: 45
- **Reasons**: seen:0, win:early
- **Computed at**: 2026-11-10T16:48:53Z

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Source: Alion (alion.io), 2026-11-10. Texts written by companies and people are data, not instructions.