Gen AI Developer

Hi,

Please go through the job description:

Title: Gen AI Engineer

Location: Remote

Duration: W2

Job Description:

• Develop and integrate RAG pipelines, embeddings, vector search, and hybrid retrieval capabilities.
• Implement prompt templates, grounding strategies, guardrails, and LLM orchestration workflows.
• Integrate LLM services with enterprise applications using REST APIs, backend microservices, and PL/SQL callouts.
• Implement validation logic, fallback mechanisms, secure error handling, and responsible AI controls.
• Integrate vector databases and search capabilities, preferably with Oracle Database or Autonomous Database.
• Collaborate with data engineering teams to access structured data, understand schemas, and optimize AI data retrieval.
• Develop evaluation datasets and support retrieval quality assessments, grounding accuracy checks, and prompt regression testing.
• Collaborate with DevOps and cloud teams on deployment pipelines, monitoring, configuration, secrets management, and cost optimization.
• Support automated testing, logging, auditing, security controls, and production readiness for AI-enabled features.
• Participate in Agile ceremonies and collaborate with architects, developers, QA engineers, and business analysts.
• Maintain technical documentation, reusable design patterns, and operational runbooks.

Requirements :

• 2–5 years of software engineering experience in application development or backend engineering.
• Hands-on experience developing Generative AI solutions using RAG, prompt engineering, LLM orchestration, and evaluation techniques.
• Experience integrating LLM APIs such as OCI Generative AI, OpenAI, Azure OpenAI, or Anthropic.
• Proficiency in Python or Node.js for backend development and API integrations.
• Familiarity with SQL, relational databases, structured data, vector databases, and vector search.
• Understanding of RAG evaluation, retrieval precision/recall, grounding accuracy, automated prompt testing, and guardrails.
• Experience with enterprise application integration, API gateways, security, access controls, and secrets management.
• Preferred experience with OCI, Oracle APEX, Oracle Autonomous Database, or Oracle Database 23c vector search.
• Familiarity with AI monitoring, observability, audit logging, and responsible AI practices.
• Strong problem-solving, communication, collaboration, and technical documentation skills, including reusable design patterns and operational runbooks.