The AI Engineer is responsible for researching, developing, and deploying artificial intelligence solutions that serve both internal operations and client needs. This role plays a critical part in the company's AI-Driven transformation roadmap, with a focus on automation systems, AI Agents, and supporting the Data team in building intelligent analytics tools.

Job Description:

AI Agent & Automation Development

Design and develop AI Agents for internal enterprise use and client-facing applications (RAG, chatbots, automation agents).
Build automated data pipelines: collection, cleansing, enrichment, and distribution powered by AI.
Develop intelligent alerting systems with built-in root cause analysis and recommended actions.
Collaborate with the Salesforce CRM team on system integrations between CRM and other platforms (Call Center, DMS, Social Platform) to ensure seamless data exchange and end-to-end customer journey tracking.

Data Team Support

Collaborate with the Data team to add AI layers on top of existing dashboards and analytics tools.
Build AI tools to automate data processing workflows and quality validation.
Advise on and implement AI techniques to improve reporting accuracy and speed.

Internal AI Strategy

Evaluate and recommend AI models and frameworks suited to each real-world business use case.
Train and support team members in applying AI to their daily workflows.
Monitor emerging AI developments and apply relevant techniques to production systems.

Requirements

Minimum 2–3 years of hands-on AI/ML development experience in production environments.
Proven track record designing and deploying at least one AI Agent or RAG system in a real project.
Proficient in Python at production level; capable of writing and reviewing high-quality code.
Strong understanding of the LLM ecosystem: OpenAI, Anthropic, Gemini, Llama, and advanced prompting techniques.
Experience with vector databases (Pinecone, Weaviate, Chroma, pgvector).
Working knowledge of Salesforce CRM: data model, automation flows, or API integration.
Demonstrated application of AI to solve real business problems; able to present work via portfolio or case study.

Preferred

Experience with Langchain, LlamaIndex, CrewAI, or equivalent AI agent frameworks.