We are seeking to hire several Generative AI Application Engineers to join our teams working on a new multi-year award we have within a Federal Gov’t Agency. These roles are 100% remote.
Being a US Cit or Permanent Resident is required for passing the security clearance to work on this program.
This position pays a strong salary package with full benefits (including choice of healthcare plans, dental, vision, life insurance, 3 weeks PTO, 11 Paid Federal Holidays, and a matching 401k).
An option for working on an hourly rate is also available for those not needing a full benefits package.
Role Title: Generative AI Application Engineer (Mid-Level)
Experience Level: 2–5 years
Project Focus: Applied GenAI Development for Enterprise Applications
Role Summary:
The Generative AI Application Engineer builds and integrates AI-enabled capabilities into enterprise applications as part of the modernization program. This role focuses on applied AI development—prompt engineering, retrieval-augmented generation (RAG), vector search integration, and LLM orchestration—rather than research model development. The engineer works under the direction of a Senior GenAI Lead and collaborates closely with APEX developers, data integration teams, DevOps, and QA to deliver secure, reliable, production-ready AI features.
Key Responsibilities:
Applied GenAI Development
· Implement components of RAG pipelines, including embeddings, vector search, and hybrid retrieval logic.
· Develop prompt templates, grounding strategies, guardrails, and LLM orchestration flows based on patterns defined by the GenAI Lead.
· Integrate GenAI services with enterprise applications (e.g., Oracle APEX) through REST APIs, backend microservices, or PL/SQL callouts.
· Implement guardrails, validation logic, fallback behaviors, and secure error-handling for AI-driven workflows.
Integration & Data Enablement
· Integrate applications with vector databases or vector search functionality (Oracle Database preferred).
· Collaborate with data engineering teams to source structured data, understand schemas, and define access patterns for AI workloads.
· Create and maintain evaluation datasets; support retrieval quality metrics and prompt regression testing.
DevOps, Testing & Governance
· Work with DevOps and cloud engineering teams on deployment pipelines, secrets management, configuration, and monitoring for AI services.
· Support QA engineers in developing automated tests for GenAI-enabled functionality.
· Ensure AI components meet enterprise requirements for security, auditing, logging, and cost governance.
Collaboration & Delivery
· Participate in Agile delivery processes, including sprint planning, demos, and refinement.
· Partner with application developers, architects, QA testers, and business analysts to deliver cohesive end-to-end features.
· Contribute to documentation, design patterns, and runbooks to support long-term operational readiness.
Required Qualifications:
· 2–5 years of software engineering experience in application or backend development.
· Hands-on experience building applied GenAI solutions (RAG, prompt engineering, LLM orchestration).
· Experience using LLM APIs (e.g., OCI Generative AI, OpenAI, Azure OpenAI, Anthropic).
· Proficiency with Python or Node.js for backend and integration development.
· Familiarity with structured data, SQL, and working with relational databases.
· Experience integrating with vector databases or vector search functionality (Oracle Database preferred).
· Understanding of evaluation methods such as retrieval precision/recall, grounding accuracy, or automated prompt testing.
· Ability to work effectively with cross-functional teams (APEX developers, Data Engineers, DevOps, QA).
· Strong communication and documentation skills.
Preferred Qualifications:
· Experience with Oracle Cloud Infrastructure (OCI), Oracle APEX, or Autonomous Database.
· Hands-on experience with vector search in Oracle Database 23c or Autonomous Database.
· Familiarity with enterprise security practices, API gateways, and secrets management.
· Exposure to guardrail frameworks, grounding techniques, or advanced RAG patterns.
· Experience building user-facing AI features within enterprise environments.
If qualified and interested, please send an updated resume along with rate/salary requirement and we will follow up quickly to discuss further details and move forward with your interview process.
ec3 Federal Services is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. ec3 Federal Services is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at ec3 are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. ec3 Federal Services will not tolerate discrimination or harassment based on any of these characteristics.
