Lead AI Engineer

Company Description

ERP Logic is a globally recognized SAP Cloud Solutions company, specializing in SAP implementation and application services. Since its inception in 2009, the company has grown significantly to over 1,000 employees and expanded its presence across the United States, Europe, the Middle East, India, and Israel. As one of the top three SAP reseller partners globally for SAP S/4HANA Grow and SAP S/4HANA Rise, ERP Logic serves over 500 customers, including both large enterprises and mid-sized companies. With deep expertise in SAP S/4HANA and SAP ECC, ERP Logic supports businesses in transitioning to advanced ERP systems with a customer-centric approach and sustainable solutions.

Role Description

Lead AI engineer is first and foremost a solution designer. This person translates ambiguous business problems into AI-native solutions and ships them through the stack — Azure, AI Foundry, Databricks. Hands-on with LLMs, agents, and RAG; comfortable in a regulated-enterprise context.

Key Responsibilities

• Solution design first: discuss business requirements with stakeholders across R&D, Manufacturing, Supply Chain, Commercial, Finance, and Procurement; translate them into AI-native solutions with measurable ROI

• Build POCs → MVPs → production: rapidly prototype with real or synthetic enterprise data; harden into scalable services

• Design and implement RAG pipelines, copilots, and agentic workflows on the stack

• Define guardrails and governance: model validation, evaluation frameworks, safety and compliance checks

• Documentation: architecture diagrams, design docs, READMEs, and code comments

• Collaborate with full-stack and frontend engineers on integration; with QA on AI-output quality testing; with product on roadmap

• Deploy and Maintain AI components on Azure; monitor performance, cost, and quality

• Work individually with minimal supervision as well as in team environments

Education, Experience and Skill-set Required

• Bachelor's or Master's in Computer Science, Software Engineering, Data Science, or related field

• 10+ years of software/data engineering experience; 2+ years building LLM applications in production

Technical Skills

• Python — strong proficiency; clean, production-grade code

• LLM application frameworks : LangChain, LangGraph, LlamaIndex, Semantic Kernel, or equivalent agent frameworks

• Experience with agentic AI systems in production (multi-agent, tool-use, autonomous workflows)

• RAG patterns: chunking, embeddings, retrieval evaluation

• Vector databases: Azure AI Search, pgvector, Pinecone, Weaviate

• Prompt engineering and structured output design

• Evaluation & observability: LangSmith, Langfuse, or in-house eval harnesses; offline/online quality measurement

• Multi-agent systems and orchestration (planner/executor, supervisor patterns)

• Azure platform: AI Foundry, Azure OpenAI, Databricks; APIs and microservices on Azure

• CI/CD for AI workloads, Git, and Agile delivery practices

• Working knowledge of API/web service security and data security practices

• Familiarity with web/UI frameworks (React, Streamlit) sufficient to integrate AI surfaces

Soft Skills

• Team Player — key element factor in our group; we vouch for each other

• Communication — excellent written and verbal English; able to translate AI capabilities into business value

• Time Management — strong organizational and time-management skills under ambiguity

• Responsibility — trustworthy person; owns the project and flawlessly delivers

Nice to Have

• Regulated-industry experience (pharma, healthcare, finance) and familiarity with compliance constraints

• Fine-tuning, distillation, or model adaptation experience

• Open-source contributions in the LLM/agents ecosystem