Senior Generative AI & Agentic Systems Engineer

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.

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 supports a remote work environment and is focused on the rapidly evolving field of AI and machine learning. Candidates should be willing to collaborate across different teams and adapt to various project needs.