AI Engineer / Generative AI Engineer

Walbrydge Technologies Inc; United States; Hybrid; USD 32,000 - 64,000; Full time

Benefits offered by this job

Provident fund

Gratuity

Paid leave

Medical insurance

Job summary

Walbrydge Technologies Inc. seeks an experienced AI/ML engineer to translate generative AI concepts into production-ready capabilities for multi-tenant SaaS platforms, with emphasis on security and reliability across international markets.

You will collaborate with product, engineering, cloud, data, security, and design teams to deliver cohesive outcomes. You will build retrieval-augmented components using Python and LLMs, and contribute to architecture, automation, and observability for

Qualifications

• 6–9 years of AI/ML or generative AI engineering experience.
• Experience in enterprise software development and scalable architectures.
• Hands-on Python, LLM integration, RAG, vector databases, and API design.
• Experience in structured agile teams with clear ownership.
• Security-by-design and production reliability awareness.

Responsibilities

• Design and ship AI-powered features for multi-tenant SaaS platforms.
• Partner with product, engineering, cloud, data, security, and design teams.
• Build retrieval-augmented and generative components using Python and cloud AI services.
• Contribute to architecture reviews, planning, quality gates, and launches.
• Improve automation, observability, reliability, and docs.
• Participate in agile rituals and own end-to-end delivery commitments.

Skills

Python

LLM integration

RAG patterns

Vector databases

API design

Agile

Security-by-design

Production reliability

Job description

Join a global AI & Data team that powers enterprise SaaS platforms serving international markets. The position centers on translating generative AI concepts into reliable, production-grade product capabilities that hold up under enterprise security, scalability, and operational standards.

Responsibilities

• Design and ship AI-powered product features for multi-tenant SaaS platforms, from requirements through release.
• Partner with product, engineering, cloud, data, security, and design teams to deliver cohesive, business-ready outcomes.
• Build retrieval-augmented and generative components using Python, LLMs, vector databases, and cloud AI services.
• Contribute to architecture reviews, implementation planning, quality gates, and operational readiness for new launches.
• Strengthen automation, observability, reliability, and internal documentation across assigned workstreams.
• Participate in agile rituals, including sprint planning, demos, and retrospectives, and own delivery commitments end to end.

Requirements

• Six to nine years of professional experience in AI, machine learning, or generative AI engineering roles.
• Strong grasp of enterprise software development, cloud-enabled systems, and scalable architecture patterns.
• Hands-on ability with Python, LLM integration, RAG patterns, vector databases, and API design.
• Experience working within structured agile teams with clear ownership and delivery accountability.
• Familiarity with security-by-design principles, production reliability practices, and compliance-aware engineering.

Nice to have

• Background on SaaS products, enterprise platforms, or multi-tenant systems.
• Exposure to AI-assisted development, automation tooling, or intelligent product workflows.
• Experience collaborating across distributed teams in multiple geographies.
• Prior work in high-growth product engineering or platform modernization initiatives.

Benefits and work setup

• Remote work model with location based in Hyderabad, India.
• Full-time permanent employment.
• Compensation discussed during the process and aligned with experience, scope, and market benchmarks.
• Statutory benefits including provident fund, gratuity, paid leave, recognized holidays, and medical insurance per policy.
• Hybrid or remote flexibility considered by role, plus support for learning, certifications, and professional development.