# LLM-AI Model Validation Engineer

**JP ID: DLTJP00063946**

## Position Details

- **JP ID:** DLTJP00063946

- **Number of Positions:** 1

- **Experience:** 5–8 years (JD specifies 6–8+ years)

- **Salary:** ₹28 LPA

- **Work Location:** Hyderabad and Bangalore preferred; Pune and Chennai also considered

- **Work Mode:** Hybrid

- **Work Timing:** 10:00 AM–7:00 PM

- **Interview Rounds:** 1 Internal Round + 1 Client Round

- **Interview Mode:** Virtual

## Position Summary

We are seeking an experienced AI Engineer to architect and scale enterprise-grade Generative AI (GenAI) solutions. The role focuses on designing and delivering intelligent systems using large language models (LLMs), agent orchestration frameworks, and embedding-driven retrieval architectures.

The candidate will lead engineering pods, define reusable AI patterns, and ensure robust, secure, and scalable GenAI capabilities across the organisation.

## Key Responsibilities

- Architect enterprise-grade GenAI systems using modular LLM APIs, agent orchestration frameworks, and embedding pipelines.

- Design and implement autonomous agent workflows with context management, multi-agent coordination, and task delegation.

- Optimise system performance, latency, and response accuracy through prompt strategies, retrieval augmentation, and caching.

- Lead architectural reviews, enforce prompt safety and governance standards, and ensure compliance with enterprise security protocols.

- Collaborate with product, platform, and engineering leaders to define reusable AI design patterns and scalable capabilities.

- Guide engineering pods on GenAI best practices, system resilience,



and prompt lifecycle management.

- Develop reusable assets such as SDKs, templates, and shared agent logic.

- Evaluate advancements in LLM tooling, orchestration frameworks, and prompt optimisation techniques.

- Mentor engineers and influence AI adoption across programmes.

## Mandatory Skills

- Python 3.10/3.11+

- LLM APIs

- Vector databases and embedding models

- Agent frameworks and framework-agnostic orchestration

- Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication

- Experience building scalable AI solutions across different cloud platforms

- Software Development Life Cycle (SDLC)

- Hands-on data analysis

- Forecasting and predictive modelling

## Additional Technical Qualifications

- Experience deploying secure, scalable, and cost-efficient cloud-native AI solutions, preferably in the Azure ecosystem.

- Understanding of CI/CD pipelines, Docker/Kubernetes, and production-grade model monitoring.

- Knowledge of system design, performance tuning, and distributed architectures.

## Valuable-to-Have Skills

- Migration experience.

- Contributions to reusable GenAI frameworks, accelerators, or developer platforms.

- Familiarity with LLM governance and observability tools, including cost monitoring, safety filters, and token usage tracking.

- Strong communication skills for explaining complex AI concepts to technical and non-technical stakeholders.

- Exposure to enterprise-scale AI deployments in supply chain, optimisation, or decision intelligence systems.

Pay: Up to ₹2,800,000.00 per year

Work Location: Hybrid remote in Hyderabad, Telangana

📌 LLM-AI Model Validation Engineer - Lead (Hyderabad)
🏢 Clock Edge Technologies Pvt Lt
📍 Hyderabad