Generative AI Application Engineer

**Federal Project - Applicant must be a United States Citizen with the ability to obtain a Public Trust**

Baer is looking for Generative AI Application Engineer for a 7-month Federal remote Project.

Title: Generative AI Application Engineer

Location: Remote (Must be based in US)

Duration: 7 months (December Start)

Rate: All-inclusive

Alignment: W2 or C2C

Overview

We are seeking a Generative AI Application Engineer with 2–5 years of experience to develop and integrate enterprise AI solutions using RAG, prompt engineering, vector search, and LLM orchestration. The role focuses on building secure, scalable, production-ready AI applications in collaboration with cross-functional teams. Experience with OCI Generative AI, Oracle APEX, and Oracle Database is preferred.

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.

Public Trust Security Clearance is the lowest level of additional background screening that the federal government requires for applicants of certain jobs, which includes completing a Standard Form 85 (SF85) form.

Company Overview:

Baer provides best-in-class engagement experiences for our consultants. Our job requirements are carefully vetted and are typically associated with pivotal programs offering tremendous opportunities to expand your skills leveraging the latest solutions.

Baer is an equal opportunity employer including disability/veteran.