Senior AI Engineer

Harnham; United States; Remote; USD 150,000 - 220,000; Full time

Benefits offered by this job

Equity participation

Fully remote across US

Hybrid office space access

Influence product strategy

Exposure to AI advancements

Career growth opportunities

Job summary

Harnham is hiring a Senior AI Engineer to design agentic workflows and autonomous AI features. You will build orchestration frameworks, integrate with data systems, and own the full SDLC from design to deployment.

The role focuses on reliable, scalable AI systems and shaping engineering strategy in a remote, US-based environment. Ideal candidates have deep experience with distributed systems, APIs, LLMs, and agent orchestration, and will collaborate with product teams to deliver production-ready

Qualifications

• Strong commercial software engineering experience with distributed systems, APIs and scalable development.
• Proven experience building apps using LLMs, AI agents, orchestration frameworks or autonomous workflows.
• Experience deploying production-grade AI systems with focus on reliability and performance.

Responsibilities

• Design and develop agentic workflows, autonomous systems and AI-powered features.
• Build orchestration frameworks, tool integrations and multi-step agent capabilities.
• Create robust evaluation, monitoring, guardrail and observability for production AI systems.
• Collaborate with product teams to translate business processes into agent-driven solutions.
• Integrate AI workflows with enterprise data systems and third-party tech.
• Own the full software lifecycle from design to deployment and optimisation.
• Contribute to architecture decisions and engineering strategy across the team.
• Champion use of AI-assisted development tools and establish best practices.

Skills

Distributed systems

APIs

Scalable applications

LLMs / AI agents

Orchestration frameworks

Production AI systems

LangChain

Remote collaboration

Tools

LangChain

Job description

Remote (US) $150,000 to $220,000 + Bonus + Equity

This is an opportunity to join an AI-first technology company building sophisticated agentic systems that automate complex business workflows. You'll play a key role in shaping both customer-facing AI capabilities and the internal engineering practices that enable teams to build faster, smarter, and more effectively.

The Company

They are an innovative software business leveraging advanced AI and autonomous systems to transform how organisations manage complex operational workflows. Their platform combines proprietary intelligence, enterprise data integration, and agent orchestration to deliver highly automated outcomes at scale. With a remote-first culture and a strong engineering focus, they offer an environment where technical expertise has a direct impact on product direction and business growth.

The Role

As a Senior AI Engineer, you will:

• Design and develop agentic workflows, autonomous systems, and AI-powered product features
• Build orchestration frameworks, tool integrations, and multi-step agent capabilities
• Create robust evaluation, monitoring, guardrail, and observability frameworks for production AI systems
• Collaborate with Product teams to translate complex business processes into reliable agent-driven solutions
• Integrate AI workflows with enterprise platforms, data systems, and third-party technologies
• Own the full software development lifecycle from design through deployment and optimisation
• Contribute to architecture decisions and technical strategy across the engineering function
• Champion the effective use of AI-assisted development tools and help establish engineering best practices
• Work closely with a high-performing team to deliver scalable, production-ready solutions

Your Skills & Experience

• Strong commercial software engineering experience with expertise across distributed systems, APIs, and scalable application development
• Proven experience building applications using LLMs, AI agents, orchestration frameworks, or autonomous workflows
• Experience designing and deploying production-grade AI systems with a focus on reliability and performanceKnowledge of agent tooling, tool use frameworks, MCP, or similar integration approaches
• Ability to work across the full development lifecycle and take ownership of complex technical initiatives
• Strong communication skills and experience collaborating within remote or distributed teams
• Curiosity about emerging AI technologies and a passion for applying them to solve real-world challenges
• Exposure to marketing technology, advertising technology, media platforms, or customer data ecosystems
• Experience integrating with enterprise data platforms, cloud data warehouses, or third-party APIs
• Familiarity with LangChain or similar agent orchestration frameworks
• Experience evaluating or running local and self-hosted LLM environments

What They Offer

• Equity participation
• Fully remote working across the US
• Access to collaborative office space for those who prefer a hybrid environment
• The opportunity to influence product strategy and engineering standards
• Exposure to cutting-edge AI and agentic system development
• Clear opportunities for professional growth within a rapidly evolving technology environment