Senior AI Engineer

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.