Artificial Intelligence Engineer

Quess IT Solutions; Hyderabad; Hybrid; INR 4,000,000 - 7,500,000; Full time

Job summary

Quess IT Solutions is hiring an AI Software Architect / Senior AI Engineer to lead design and deployment of LLM-based, agentic systems in production. You will architect scalable APIs, evaluate trade-offs, and mentor cross-functional teams in Hyderabad.

The ideal candidate has a Master’s in CS/AI, 10+ years in software engineering, and deep experience with LangChain, LangGraph, RAG, vector stores, and cloud-native tech like Docker and Kubernetes.

Qualifications

• Master's degree in Computer Science, AI, ML or related field.
• 10+ years of software engineering experience with at least 5 years focused on LLM-based solutions and generative AI systems.
• Experience designing and deploying production-grade AI applications using Large Language Models.
• Hands-on experience with AI orchestration frameworks and RAG architectures.

Responsibilities

• Design and deploy complex AI applications using LLMs in production.
• Architect scalable APIs and cloud-native solutions; evaluate trade-offs in performance, latency and cost.
• Mentor cross-functional teams and promote best practices in AI development.

Skills

Python

API design

Cloud architectures

Leadership

Mentoring

Communication

Education

Master's degree in Computer Science or related field

Tools

LangGraph

LangChain

LlamaIndex

CrewAI

Langfuse

LangSmith

Vector databases

PostgreSQL

Document stores

Docker

Kubernetes

Job description

Job Title: AI Software Architect / Senior AI Engineer (LLM & Agentic Systems)

Qualifications

• Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, or related field.
• 10+ years of software engineering experience with at least 5 years focused on LLM-based solutions and generative AI systems.
• Demonstrated experience designing and deploying complex production-grade AI applications using Large Language Models.
• Extensive experience with AI orchestration frameworks such as LangGraph, LangChain, LlamaIndex, CrewAI, or equivalent technologies.
• Hands-on experience implementing AI observability and evaluation frameworks using Langfuse, LangSmith, or similar platforms.
• Proven expertise with Retrieval-Augmented Generation (RAG) architectures and vector database technologies.
• Strong understanding of modern LLM architectures, prompting strategies, context management, embeddings, and retrieval techniques.
• Strong Python development experience and software engineering fundamentals.
• Experience designing scalable APIs and cloud-native architectures.
• Ability to evaluate architectural trade-offs involving model performance, latency, reliability, maintainability, and cost.
• Experience deploying AI solutions in production environments using Docker, Kubernetes, and cloud platforms.
• Strong understanding of structured and unstructured data processing pipelines.
• Familiarity with modern database technologies including PostgreSQL, vector databases, and document stores.
• Excellent communication, leadership, and mentoring skills and ability to collaborate effectively with cross-functional teams.

Preferred Skills

• Experience building agentic systems involving tool use, planning, memory, and multi-agent orchestration and skills.
• Experience with model evaluation, benchmarking, AI testing frameworks, and automated quality assessment.
• Experience working with multiple commercial and open-source models including OpenAI, Anthropic, Gemini, Llama, and Mistral.
• Familiarity with fine-tuning, synthetic data generation, and model optimization techniques.
• Familiarity with developing and training machine learning models.
• Experience supporting AI products in regulated, privacy-sensitive, or high-availability environments.
• Experience integrating AI capabilities into mobile and web applications.
• Familiarity with modern software delivery practices including DevOps, CI/CD, and Agile development methodologies.