AI Developer & Implementation Specialist

Description abra is seeking a AI Developer & Implementation Specialist! abra is seeking a AI Developer & Implementation Specialist to join its AI team and lead the development and implementation of advanced AI solutions across the organization’s enterprise systems. The role combines hands-on development, business understanding, solution architecture, and integration with core business systems. Key Responsibilities • Develop and implement end-to-end AI solutions, from understanding business needs to production deployment. • Develop intelligent AI agents and automate business processes. • Build LLM-based solutions, including RAG, prompt engineering, and agent orchestration. • Develop API-based integrations with enterprise systems such as Salesforce, ERP systems, and databases. • Work with structured and unstructured data, documents, and enterprise information sources. • Design and develop backend services that support AI solutions. • Perform testing, monitoring, optimization, and performance improvements. • Collaborate closely with business stakeholders, development teams, infrastructure teams, information security teams, and external vendors. Location: Bnei Ayish Requirements Job Requirements: • A minimum of 5 years of hands-on software development experience – mandatory. • Hands-on experience with Python development – mandatory. • Experience developing LLM-based AI solutions – mandatory. • Experience developing AI agents and integrating them with enterprise systems. • Experience working with REST APIs and backend services. • Familiarity with LangChain, LangGraph, or equivalent frameworks. • Experience working with SQL/NoSQL databases. • Understanding of system architecture, business processes, and integrations. • Ability to work independently, solve problems, and lead development from planning through implementation. • Native-level English proficiency – mandatory. Significant Advantages: • Experience developing AI solutions in production environments. • Experience integrating with Salesforce and ERP systems. • Experience working with Snowflake. • Experience with Azure/AWS cloud environments. • Familiarity with Docker, Kubernetes, and CI/CD pipelines. • Experience developing AI systems involving transcription, conversation analytics, and document processing. • Experience working in large, complex organizations with multiple interconnected systems.