AI Developer & Implementation Specialist

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 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.