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-effective 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.

Good-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