Jr. Software Engineer - AI​/LLM

Jr. Software Engineer - AI/LLM Applications

Full Time On Level Atlanta Office, Atlanta, GA, US

6 days ago Requisition

Salary Range: $85,000.00 To $ Annually

The Junior Software Engineer will be responsible for developing, testing, installing, and maintaining application systems based on pre-defined requirements and designs. In addition to core software engineering responsibilities, this role will contribute to the development and support of an AI‑powered platform, working alongside senior engineers to build and enhance intelligent features. The selected candidate is expected to take full ownership of their work in production — this is not a build‑and‑hand‑off role.

The Junior Software Engineer will actively participate in production support, including incident response and change management, and will be accountable for the quality and reliability of the systems they own. He/she will report to the Chief Technology Officer and be based in Atlanta, GA.

• Assist in development and integration of AI‑powered features, including automated workflows and intelligent data processing capabilities
• Develop and refine prompts and AI configurations to improve accuracy, consistency, and reliability of AI‑generated outputs across platform features
• Support implementation and maintenance of Retrieval‑Augmented Generation (RAG) pipelines, including vector embeddings, semantic search, and context assembly for LLM‑driven workflows
• Build and maintain data pipelines integrating internal and external data sources, APIs, and third‑party services to support platform functionality
• Evaluate AI outputs and assist in improving reliability — identifying and troubleshooting hallucinations, inconsistencies, and failure modes across a multi‑model AI architecture
• Develop application code in Python aligned with business and technical requirements, coding standards, and SDLC processes; participate in code reviews, testing, and deployment activities
• Take full ownership of assigned systems and features in production — this role is accountable for the health, performance, and reliability of what it builds, not just delivery
• Actively participate in production support as a primary owner — respond to incidents, perform root cause analysis, drive defect resolution, and manage changes to application logic, configurations, and deployments
• Improve monitoring, logging, and alerting for owned systems and AI components; ensure issues are detected proactively rather than reactively
• Collaborate with cross‑functional teams to deliver scalable, multi‑tenant solutions; contribute to design, code review, and testing activities to maintain high quality standards
• Submit software products for review of compliance with best practices, standards, and enterprise architecture (code review)
• Evaluate outcomes, report results, and document findings according to current standards; contribute to test suite covering unit and functional coverage across the appraisal pipeline
• Assist in design solutions for approved projects and change requests, converting requirements into infrastructure and application software structures
• Learn, use, and gain experience with AI tooling, testing frameworks, and techniques relevant to non‑deterministic system behavior

• 1–3 years of software development experience
• Strong proficiency in Python (required — primary language for AI components and pipeline development)
• Experience working with APIs and backend systems
• Strong analytical and problem‑solving skills with ability to review and analyze requirements
• Willingness to take ownership of systems in production; outstanding attention to detail and meticulous approach to work

• Experience with C# / .NET (preferred — Augur’s backend includes C# components)
• Exposure to Large Language Models (LLMs) or AI/ML concepts; familiarity with prompt engineering and agentic AI workflows
• Understanding of embeddings, semantic search, or vector databases (pgvector experience a plus)
• Experience with AWS or other cloud platforms (AWS Bedrock, S3, Kubernetes experience a plus)
• Exposure to monitoring, logging, or…