Lead AI Software Engineer (AI)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
TL;DR
Lead AI Software Engineer (AI): Driving the development of next-generation AI-powered testing and quality engineering solutions with an accent on LLM integration, autonomous validation, and scalable architecture. Focus on designing intelligent test generation systems, mentoring engineering teams, and ensuring reliability in enterprise-grade AI production environments.
Location: Must be based in or able to work from Austin, Texas (Hybrid)
Company
is a global leader in AI-driven, codeless software testing and quality engineering, empowering enterprises to accelerate digital transformation.
What you will do
- Lead AI-focused engineering initiatives and guide the architecture of intelligent testing capabilities.
- Design and deploy LLM-powered solutions for natural language test creation and autonomous maintenance.
- Mentor engineers through design reviews and hands-on technical leadership.
- Collaborate with product and design teams to translate customer needs into AI-powered features.
- Define and standardize testing strategies for AI systems, including model evaluation and reliability validation.
- Partner with domain experts to optimize testing solutions for complex enterprise ecosystems like SAP.
Requirements
- 6+ years of experience building production-grade software using Python.
- 3+ years of experience designing and deploying AI/ML or LLM-based solutions in production.
- Must be authorized to work in the U.S. without sponsorship.
- Strong knowledge of generative AI, LLM ecosystems, and agent-based systems.
- Deep expertise in software engineering best practices, distributed systems, and CI/CD.
- Excellent communication skills for explaining AI concepts to technical and non-technical stakeholders.
Nice to have
- Experience in test automation, QA engineering, or quality platforms.
- Familiarity with vector databases and retrieval-augmented generation (RAG).
- Background working on enterprise SaaS platforms.
- Experience with cloud platforms, preferably Azure.
Culture & Benefits
- Opportunity to shape the future of AI-powered software quality engineering.
- Work on industry-leading products used by global enterprises.
- Collaborate with a talented, mission-driven team.
- Competitive compensation and career growth opportunities.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β