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.
This position is open to all candidates.