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 up-to-date software delivery practices including DevOps, CI/CD, and Agile development methodologies.

📌 Senior AI Engineer (Hyderabad)
🏢 Quess IT Solutions
📍 Hyderabad