Lead AI Back-End Engineer

At Network Solutions, we’ve been trusted for decades to help people get online and stay ahead. We’ve been here since the beginning of the internet, and we’re still building for what comes next.

As the original digital identity authority, we help secure domain names, protect brands, and safeguard the infrastructure businesses rely on. We empower our customers to own and manage the assets that define them online, while delivering enterprise-grade security to protect against virtual threats. Our team leverages modern, AI-accelerated tools to streamline how businesses manage their digital presence, making the most of our decades of experience.

The Network Solutions team is here to help online businesses protect what’s theirs and build for tomorrow. That’s why millions trust us to protect their domains, brands, and websites every day.

The impact   you’ll   make as a Lead AI Back-End Engineer

•   Set the technical architecture   for our agent powered platform, choosing the right mix of LLMs, retrieval technologies, agent frameworks, and microservice patterns to meet reliability, cost, quality, and latency targets.

•   Drive architecture   for high throughput APIs built with .NET, C#, Python 3.11+,   FastAPI   async,   SQLModel , and Semantic Kernel, from design documents through production rollout.

•   Lead multi agent orchestration   across handoff, sequential, parallel, and supervisor patterns, combining knowledge grounded and tool calling agents across   OpenAI GPT 5.6 Sol, Terra and Luna, Google Gemini 3.7 Flash, Anthropic Claude Sonnet 5 and Opus 5,   xAI   Grok 4.6, and future model providers .

• Guide teams implementing   Retrieval Augmented Generation   on Azure AI Search,   pgvector , Chroma, and equivalent vector and hybrid retrieval platforms, ensuring index quality, filtering, evaluation, and safety controls.

• Own   end to end CI/CD pipelines   using Bitbucket Pipelines, Jenkins, or similar platforms, including linting, type checking, security scanning, testing, containerization, and deployment.

•   Mentor and hire   engineers and adopt   AI coding agents such as Cursor and Claude Code   as engineering force multipliers while   maintaining   strong code quality, security, and review standards.

• Champion   observability and FinOps   for LLM workloads using structured JSON logging,   OpenTelemetry   tracing,   Langfuse , evaluation frameworks, and cost dashboards, keeping latency and cost per request within defined SLOs.

• Partner with Product and Security to translate business goals, compliance requirements, emerging AI capabilities, and user feedback into a pragmatic technical roadmap.

Must have experience

• 7 + years   building and scaling production backend systems, including   2+ years   in a technical lead, staff, principal, or equivalent role.

• Expert in REST API design and development using   Python   FastAPI   or .NET C# APIs , with strong experience in dependency injection, middleware, profiling, performance optimization, and distributed systems.

• Hands on leadership experience with   Semantic Kernel or equivalent agent and LLM frameworks , including production agent orchestration, tool calling, structured outputs, and   multi step   workflows.

• Delivered at least one production   RAG system or pipeline   using a vector or hybrid search platform such as Azure AI Search,   pgvector , Chroma, or equivalent, with measurable latency and quality KPIs.

• Deep PostgreSQL   expertise   plus   SQLModel ,   SQLAlchemy   2, and Alembic   migrations at scale.

• Proven   track record   integrating multiple frontier and cost optimized model providers, such as   OpenAI GPT 5.6, Gemini 3.x, Claude 5, Grok 4.x, or equivalent , including model routing, structured output, reasoning, tool calling, and fallback strategies.

• Fluency with   Poetry, Docker, GitHub Actions, Azure DevOps, Jenkins, or Argo , along with infrastructure as code fundamentals and blue green or canary release strategies.

• Strong people leadership through code reviews, architectural guidance, technical mentoring, roadmap planning, hiring, and cross team communication.

Nice to have

• Experience with message queue and event driven   architectures   using RabbitMQ, Kafka, Azure Service Bus, or equivalent.

• Experience with GPU inference fleets,   self hosted   open weight models, or serverless model hosting.

• Experience with   model gateways, intelligent model routing, MCP, agent interoperability, prompt caching, and LLM cost optimization .

• Familiarity with automatic evaluation pipelines, agent evaluations, LLM as judge techniques, safety guardrails, and   cost aware   prompt and context engineering.

Why join the   Newfold   AI team?

You’ll   steer the core intelligence behind our AI products, building an LLM agnostic, agent driven platform that serves millions of users while meeting enterprise grade standards for reliability, security, governance, and economics. If you thrive on significant technical challenges, enjoy mentoring strong engineers, and want the opportunity to shape both architecture and engineering culture,   we’d   love to meet you.

Why you’ll love us.

- Work-life balance . Our work is thrilling and meaningful, but we know balance is key to living well.

- We celebrate one another’s differences .  We’re proud of our culture of diversity and inclusion. We foster a culture of belonging. Our company and customers benefit when employees bring their authentic selves to work. We have programs that bring us together on important issues and provide learning and development opportunities for all employees.  We have 20 + affinity groups where you can network and connect with Newfolders globally.

- We care about you . We are a family, and we care about you and your family’s physical and mental health by providing competitive HMO benefits – 175k MBL with one free dependent upon one year of service! We also give out Punctuality Bonus, Generous Vacation policy, and much more!

- Where can we take you?  We’re fans of helping our employees learn different aspects of the business, be challenged with new tasks, be mentored, and grow their careers. Unfold new possibilities with #teamnewfold!

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