Merkle
AIEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“AI Engineer at Merkle. Skills: AI, Python, AI Agents, LLM. Research AI solutions. Develop AI solutions”
Industry & Context.
root cause analysis; AI to solve real business
What They're Looking For.
Must Have
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 capable of writing and reviewing high-quality code, 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 able to present work via portfolio or case study
Nice to Have
Experience with Langchain, LlamaIndex, CrewAI, or equivalent AI agent frameworks, Familiarity with Salesforce Einstein, Agentforce, or AI integration on the Salesforce platform, Experience with MLOps: model serving, monitoring, and A testing, Portfolio of production AI projects available for review (GitHub, demo, case study)
What You'll Do.
Research AI solutions
Build automated data pipelines
Develop intelligent alerting systems
Add AI layers to dashboards
Automate data processing
Automate data quality validation
Advise on AI techniques
Implement AI techniques
Apply AI to workflows
Monitor AI developments
Apply AI techniques to production
How You'll Work.
Team & Collaboration
Collaborate with Salesforce CRM team on system integrations; Collaborate with the Data team to add AI layers; Train and support team members in applying AI
Full Job Description
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,
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