**Job Title:** Gen AI Solutions Engineer

**Client:** Conduent

**Skill Level:** C07

**Number of Positions:** 3

**Work Location:** Bangalore / Hyderabad / Noida

**Work Mode:** Hybrid – 3 days in office

**Maximum Budget:** 30 LPA

**Communication:** Excellent

### Job Description

**Experience and Technical Requirements**

- 10+ years of experience in software/cloud engineering, AI, data engineering, or application development.

- 3+ years serving as a Lead Developer on enterprise projects, developing and delivering cloud-native applications and services.

- Experience delivering enterprise AI or GenAI solutions into production environments.

- Hands-on expertise in developing and deploying applications on Azure, including App Service, Azure Functions, Container Apps, Azure AI Foundry, AKS, Storage, Key Vault, API Management, or similar components.

- Hands-on experience delivering GenAI solutions into production environments, including prompt and RAG (Retrieval-Augmented Generation) patterns, responsible AI controls and guardrails, AI orchestration, AI/ML model lifecycle management, and secure integration of AI capabilities into analytics and enterprise applications.

- Strong Python development skills.

- Experience building REST APIs, microservices, and implementing cloud-native applications.

- Robust understanding of software architecture principles and design patterns.





- Experience building containerized applications using Docker and Kubernetes.

- BS or Master's degree in Computer Science, Software Engineering, Data Science, or a related technical discipline.

### Mandatory Supplier Screening Requirement

The supplier must conduct the first round of interviews to evaluate candidates and share the interview feedback along with each resume submitted to Conduent.

### Agentic AI Screening

Ask the candidate:

**“Describe one Agentic workflow you implemented.”**

A strong candidate should be able to explain the following agents:

- Planner Agent

- Retriever Agent

- Validator Agent

- Critic Agent

- Supervisor Agent

Candidates should demonstrate actual implementation experience, not simply LangChain wrappers.

### RAG Architecture Assessment

Assess whether the candidate understands end-to-end RAG architecture, including:

- Ingestion pipelines

- Chunking strategies

- Embedding selection

- Vector databases

- Retrieval optimization

- Response generation

- Guardrails

**Chunking methods for reference:**

- Semantic Chunking

- Recursive Chunking

- Structural Chunking

### Parameters for Agentic AI Evaluation

Assess the candidate's understanding of the following metrics:

- Recall@K

- Precision@K

- MRR

- NDCG

- Context Recall

- Context Precision

Pay: Up to ₹3,200,000.00 per year

Work Location: Hybrid remote in Hyderabad, Telangana

📌 Gen AI Solutions Engineer (Hyderabad)
🏢 Clock Edge Technologies Pvt Lt
📍 Hyderabad