Senior Generative AI & Agentic Systems Engineer

Introduction & Summary:

The candidate is responsible for designing, developing, and implementing robust AI applications that leverage large language models (LLMs) within agentic systems to enhance business processes and efficiency.

Main Responsibilities:

• Design and build LLM-powered applications and agentic systems.
• Implement Retrieval-Augmented Generation (RAG) pipelines at scale.
• Orchestrate agents and integrate tools using frameworks like LangGraph and OpenAI Assistants.
• Manage LLMOps and CI/CD for prompts and agents.
• Ensure safety, security, and governance in AI implementations.
• Optimize inference performance and cost management strategies.
• Conduct automated testing and evaluations for AI applications.
• Handle data engineering for Generative AI applications.
• Maintain observability and reliability of systems.
• Transition research outputs to production applications.
• Collaborate with cross-functional teams for project success.

Key Requirements:

• Strong programming skills (Python required; TypeScript/Node a plus).
• Solid understanding of machine learning and statistics.
• Experience with ML pipeline development and deployment.
• Knowledge of cloud services (Azure/AWS/GCP).

Nice to Have:

• Familiarity with LLMs and transformers.
• Hands-on experience with agentic frameworks.
• Expertise in retrieval techniques and domain adaptation.
• Proficiency in data engineering and big data technologies.
• Knowledge of vector databases and search systems.
• Experience with MLOps practices.
• Understanding of multimodal AI integration.
• Exposure to frontend technologies for AI applications.

Other Details:

This role offers an opportunity to work in a dynamic environment with a focus on innovative AI solutions. Ideal candidates are those who thrive in fast-paced settings and have a passion for advancing technology.