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 up-to-date 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.
Robust understanding of structured and unstructured data processing pipelines.
Familiarity with up-to-date 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.

📌 Artificial Intelligence Engineer Hyderabad
🏢 Quess IT Solutions
📍 Hyderabad