Description review
Engineering Lead, AI Email Applications, Artificial Intelligence (AI) Required -
Next Step Systems · United States · back to the listing
HR standards
63/100
needs work
Title ↔ description
75/100
solid
Reads as
Engineering Manager
89% confident
What this role officially is
software manager — ESCO, the EU occupation classification
Software managers oversee the acquisition and development of software systems in order to provide support to all organisational units. They also monitor the results and quality of the different software solutions and projects implemented in the organisation.
Also known as: applications manager, software managers, ICT applications manager, software applications manager, soft manager
How others title the same work
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What the listing never says
- 20 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
Engineering Lead, AI Email Applications, Artificial Intelligence (AI) Required - Work From Home
As the Engineering Lead, AI Email Applications, you own the engineering layer that turns Artificial Intelligence (AI) capability into a reliable product. You will shape the architecture across backend services, APIs, and client applications, while leading a small team of senior engineers. This is a hands-on leadership role. You stay close to the code, make critical architectural decisions, and ensure the system remains fast, reliable, and coherent as it scales. This position is 100% Remote.
MUST BE WILLING TO TAKE A 60 MINUTE CODING ASSESSMENT.
Engineering Lead Responsibilities:
• Own the application engineering strategy and execution across backend, mobile, and desktop.
• Design reliable systems for AI-powered workflows, including state, orchestration, tool use, retries, fallbacks, and failure handling.
• Build the APIs and abstractions that connect Artificial Intelligence (AI) systems to real-world product experiences.
• Lead a small, senior engineering team and raise the technical bar through design reviews, code reviews, and hands-on mentorship.
• Make high-impact trade-offs across latency, reliability, cost, security, and user experience.
• Establish strong production foundations: observability, monitoring, testing, and operational excellence.
• Partner closely with Machine Learning (ML) leadership to turn model capabilities into robust, shippable product experiences.
• Move quickly while keeping the architecture simple, maintainable, and ready to scale.
Engineering Lead Outcomes:
• Production systems are observable, monitored, and stable under real-world load.
• Decisions consistently balance speed, cost, reliability, and user experience.
• Features across backend, mobile, and desktop work smoothly and reliably.
• Latency and reliability improve measurably over time.
Engineering Lead Qualifications:
• Artificial Intelligence (AI) experience is required.
• Significant experience leading application or product engineering for complex systems.
• Strong hands-on background building and shipping backend systems used in production.
• Experience building AI-powered products or systems that integrate with modern Machine Learning (ML)/Large Language Model (LLM) capabilities.
• Strong technical judgment and the ability to make decisions with incomplete information.
• Comfortable working across backend and client platforms, with deep expertise in at least one.
• A strong bias toward ownership, shipping, and learning from real-world usage.
• High standards for code quality, reliability, and engineering fundamentals.
Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.
Keywords: San Francisco CA Jobs, AI, Artificial Intelligence, AI Email Applications, APIs, Backend, Desktop, Engineering Lead, IT Lead, LLM, Large Language Model, ML, Machine Learning, Mobile, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting
Looking to hire an Engineering Lead in San Francisco, CA or in other cities? Our IT recruiting agencies and staffing companies can help.
We help companies that are looking to hire Engineering Leads for jobs in San Francisco, California and in other cities too. Please contact our IT recruiting agencies and IT staffing companies today!
Please check out all of our jobs at www.nextstepsystems.com.
Originally posted on Himalayas
As the Engineering Lead, AI Email Applications, you own the engineering layer that turns Artificial Intelligence (AI) capability into a reliable product. You will shape the architecture across backend services, APIs, and client applications, while leading a small team of senior engineers. This is a hands-on leadership role. You stay close to the code, make critical architectural decisions, and ensure the system remains fast, reliable, and coherent as it scales. This position is 100% Remote.
MUST BE WILLING TO TAKE A 60 MINUTE CODING ASSESSMENT.
Engineering Lead Responsibilities:
• Own the application engineering strategy and execution across backend, mobile, and desktop.
• Design reliable systems for AI-powered workflows, including state, orchestration, tool use, retries, fallbacks, and failure handling.
• Build the APIs and abstractions that connect Artificial Intelligence (AI) systems to real-world product experiences.
• Lead a small, senior engineering team and raise the technical bar through design reviews, code reviews, and hands-on mentorship.
• Make high-impact trade-offs across latency, reliability, cost, security, and user experience.
• Establish strong production foundations: observability, monitoring, testing, and operational excellence.
• Partner closely with Machine Learning (ML) leadership to turn model capabilities into robust, shippable product experiences.
• Move quickly while keeping the architecture simple, maintainable, and ready to scale.
Engineering Lead Outcomes:
• Production systems are observable, monitored, and stable under real-world load.
• Decisions consistently balance speed, cost, reliability, and user experience.
• Features across backend, mobile, and desktop work smoothly and reliably.
• Latency and reliability improve measurably over time.
Engineering Lead Qualifications:
• Artificial Intelligence (AI) experience is required.
• Significant experience leading application or product engineering for complex systems.
• Strong hands-on background building and shipping backend systems used in production.
• Experience building AI-powered products or systems that integrate with modern Machine Learning (ML)/Large Language Model (LLM) capabilities.
• Strong technical judgment and the ability to make decisions with incomplete information.
• Comfortable working across backend and client platforms, with deep expertise in at least one.
• A strong bias toward ownership, shipping, and learning from real-world usage.
• High standards for code quality, reliability, and engineering fundamentals.
Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.
Keywords: San Francisco CA Jobs, AI, Artificial Intelligence, AI Email Applications, APIs, Backend, Desktop, Engineering Lead, IT Lead, LLM, Large Language Model, ML, Machine Learning, Mobile, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting
Looking to hire an Engineering Lead in San Francisco, CA or in other cities? Our IT recruiting agencies and staffing companies can help.
We help companies that are looking to hire Engineering Leads for jobs in San Francisco, California and in other cities too. Please contact our IT recruiting agencies and IT staffing companies today!
Please check out all of our jobs at www.nextstepsystems.com.
Originally posted on Himalayas