Job Title: Lead AI Platform Engineer – Job Support

Experience Required: 8+ Years
Job Type: Part time / Job Support
Working Hours: 2–3 Hours Per Day
Working Days: Monday to Friday
Monthly Compensation: ₹35,000 (Negotiable based on expertise)

Role Overview

We are looking for an experienced Lead AI Platform Engineer with 8+ years of hands-on experience in AI/ML engineering, Agentic AI, reinforcement learning infrastructure, and AI evaluation systems.

The candidate will provide part-time technical job support for the development and optimization of scalable AI platforms. The role involves designing multi-agent workflows, building evaluation pipelines, developing backend infrastructure, and improving the reliability and performance of AI-driven systems.

The ideal candidate should possess strong architectural knowledge, hands-on technical expertise, and the ability to provide effective project support within 2–3 hours per day.

Key Responsibilities

1. Agentic AI & Multi-Agent Workflows

- Design and develop multi-agent AI workflows for automated task generation, validation, evaluation, and refinement.
- Implement agent orchestration, tool calling, and human-in-the-loop workflows.
- Work with LLM-based systems and autonomous AI agents.

2. Reinforcement Learning & AI Evaluation

- Develop evaluation pipelines, structured verifiers, and benchmarking frameworks.
- Support reinforcement learning datasets and model evaluation systems.
- Build high-quality training datasets and improve model performance through iterative evaluation.

3. AI Platform & Backend Engineering





- Design scalable backend services, APIs, distributed workflows, and cloud-based AI infrastructure.
- Develop robust, production-ready AI platform components.
- Support system architecture, technical design, and engineering implementation.

4. Workflow Optimization

- Improve first-pass task acceptance rates and benchmark performance.
- Optimize Average Handling Time (AHT) and overall workflow efficiency.
- Identify bottlenecks and implement performance improvements.

5. Data Engineering & Pipeline Development

- Support large-scale multilingual data ingestion, processing, and validation.
- Implement data quality checks and ensure PII/PHI compliance.
- Build scalable data pipelines for AI training and evaluation.

6. Production Reliability & Optimization

- Improve performance, scalability, observability, and fault tolerance.
- Support troubleshooting, root-cause analysis, and production issue resolution.
- Optimize infrastructure utilization and operational costs.

Required Technical Skills

- Agentic AI and Multi-Agent Systems
- Large Language Models (LLMs)
- Reinforcement Learning (RL)
- AI Model Evaluation & Benchmarking
- Python Programming
- Backend Engineering and REST APIs




- Distributed Systems & Workflow Orchestration
- Data Engineering and ETL Pipelines
- Cloud Infrastructure (AWS / Azure / GCP)
- AI/ML Frameworks such as PyTorch or TensorFlow
- Observability, Performance Optimization, and Production Reliability

Required Qualifications

- 8+ years of overall experience in software engineering, AI/ML engineering, or platform engineering.
- Strong hands-on experience with AI/ML systems and scalable backend infrastructure.
- Experience designing and implementing production-grade AI platforms.
- Strong problem-solving and system-design capabilities.
- Ability to independently handle technical tasks and provide project support.
- Excellent communication and collaboration skills.

Job Support Expectations

- Provide technical support for 2–3 hours per day, Monday to Friday.
- Assist with ongoing development, debugging, and technical implementation.
- Participate in project discussions and provide architectural guidance.
- Review code, troubleshoot issues, and suggest optimization strategies.
- Maintain regular communication and provide timely project updates.

Preferred Candidate Profile

Candidates with experience in Agentic AI, AI evaluation platforms, reinforcement learning infrastructure, LLM-based applications, and scalable cloud-native backend systems will be preferred.

Interested candidates can share their updated resume highlighting relevant AI Platform Engineering experience.

Pay: ₹35,000.00 per month

Work Location: Remote

📌 AI/ML Engineer (India)
🏢 REDLINUX TECHNOSOLUTIONS PRIVATE
📍 India