Lead Software Engineer - AI Code - Momentous
TypeFull-time job
LocationMexico
Posted5 hours ago
Selection process developed by matteria
Location and Work Mode
REMOTE
Who we are
Momentous is an AI engineering company that designs, builds, and operates production AI systems for organizations across industries — from global technology companies and healthcare providers to government bodies and experiential agencies. Their work spans custom AI products, agentic systems, computer vision, knowledge platforms, and the infrastructure behind them, all grounded in a consistent methodology: discover the real friction, design the right solution, deliver with precision, and transfer full ownership to the client's team. Momentous doesn't create dependency — they transfer capability.
Our impact
At Momentous, impact isn't a side project — it's a founding commitment. Twenty percent of our engineering capacity is permanently allocated to sustainability and social impact work, written into our structure before we had a single paying client. That's what produced WasteLens, a computer vision platform helping restaurants and hotel chains across Latin America reduce food waste in line with UN SDG 12. These projects aren't charity — they're some of our sharpest engineering work. Building for communities with tight budgets and diverse users forces a precision that makes everything else we build better. When you join Momentous, one-fifth of your time goes toward work that matters beyond the bottom line. Non-negotiable, and it always has been.
Purpose of the Position
Momentous is hiring a Software Engineer to own end-to-end delivery on the production AI systems we build for our clients. Engagements span custom AI products, knowledge platforms, agentic systems, computer vision, and the infrastructure that runs them. You will own the work shipped under your name, pair with senior engineers on the more complex builds, and contribute to architectural decisions on the systems you build, alongside senior engineers.
Key Responsibilities
Own end-to-end delivery of features and projects: design, implementation, deployment, and the client conversation around them
Team Management Experience
Pair with senior engineers on complex builds, owning meaningful slices independently
Build production AI workflows: RAG components, integrations across cloud platforms, agentic automations
Review pull requests from associate engineers
Write design notes that the team uses; contribute to architectural conversations
Requirements and competences to work with us
Experience
5+ years shipping production code with end-to-end ownership of features
Full-stack range across modern web (TypeScript, React, Next.js) and a backend language (Python or Node), with comfort across relational databases and a cloud platform (we use GCP)
Working fluency withClaude Codeor comparable agentic engineering tooling — used daily on real work, with the judgement to direct AI on multi-step tasks and identify when its output is wrong
Strong async written communication: PR descriptions, design notes, written code reviews
Direct comfort in front of a client: standups, demos, scoping conversations
Team Management Experience
Knowledge and Skills
Bilingual English / Spanish
Production experience with Vertex AI, Gemini, or the Claude / Anthropic API
Specific GCP depth (Cloud Run, Cloud Build, Vertex AI, IAM)
Experience with agentic workflow tooling, MCP servers, or RAG systems in production
Open-source contributions or production-grade side projects
Competencies
Comfortable working remotely and available during LATAM / US Pacific business hours overlap.
Good communication skills and client management.
Proactive and curious attitude.
Our team profile
At Momentous, the team is intentionally diverse — in background, discipline, and perspective — united by a shared belief that AI is a tool to amplify human capability, not replace it. We care deeply about how we work together: partnerships built on trust, communication that's direct and honest, and a culture where people are expected to grow, challenge ideas, and own their work. Whether you're working with a client or a teammate, the relationship matters as much as the output.
Reasons to join our team
Trust-based time off (minimum 4 weeks per year)
Equipment stipend
Annual learning and conference budget
Health coverage per local market
Career progression: most Software Engineers progress to Senior Applied AI Engineer within 18–30 months based on demonstrated capability
Equal Opportunity
Momentous is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all team members.
Relevant details before applying for this vacancy
This is a full-time position that requires your complete focus and dedication. We are not looking for candidates with active side jobs or parallel commitments — we expect this role to be your primary professional engagement.
Originally posted on Himalayas
Location and Work Mode
REMOTE
Who we are
Momentous is an AI engineering company that designs, builds, and operates production AI systems for organizations across industries — from global technology companies and healthcare providers to government bodies and experiential agencies. Their work spans custom AI products, agentic systems, computer vision, knowledge platforms, and the infrastructure behind them, all grounded in a consistent methodology: discover the real friction, design the right solution, deliver with precision, and transfer full ownership to the client's team. Momentous doesn't create dependency — they transfer capability.
Our impact
At Momentous, impact isn't a side project — it's a founding commitment. Twenty percent of our engineering capacity is permanently allocated to sustainability and social impact work, written into our structure before we had a single paying client. That's what produced WasteLens, a computer vision platform helping restaurants and hotel chains across Latin America reduce food waste in line with UN SDG 12. These projects aren't charity — they're some of our sharpest engineering work. Building for communities with tight budgets and diverse users forces a precision that makes everything else we build better. When you join Momentous, one-fifth of your time goes toward work that matters beyond the bottom line. Non-negotiable, and it always has been.
Purpose of the Position
Momentous is hiring a Software Engineer to own end-to-end delivery on the production AI systems we build for our clients. Engagements span custom AI products, knowledge platforms, agentic systems, computer vision, and the infrastructure that runs them. You will own the work shipped under your name, pair with senior engineers on the more complex builds, and contribute to architectural decisions on the systems you build, alongside senior engineers.
Key Responsibilities
Own end-to-end delivery of features and projects: design, implementation, deployment, and the client conversation around them
Team Management Experience
Pair with senior engineers on complex builds, owning meaningful slices independently
Build production AI workflows: RAG components, integrations across cloud platforms, agentic automations
Review pull requests from associate engineers
Write design notes that the team uses; contribute to architectural conversations
Requirements and competences to work with us
Experience
5+ years shipping production code with end-to-end ownership of features
Full-stack range across modern web (TypeScript, React, Next.js) and a backend language (Python or Node), with comfort across relational databases and a cloud platform (we use GCP)
Working fluency withClaude Codeor comparable agentic engineering tooling — used daily on real work, with the judgement to direct AI on multi-step tasks and identify when its output is wrong
Strong async written communication: PR descriptions, design notes, written code reviews
Direct comfort in front of a client: standups, demos, scoping conversations
Team Management Experience
Knowledge and Skills
Bilingual English / Spanish
Production experience with Vertex AI, Gemini, or the Claude / Anthropic API
Specific GCP depth (Cloud Run, Cloud Build, Vertex AI, IAM)
Experience with agentic workflow tooling, MCP servers, or RAG systems in production
Open-source contributions or production-grade side projects
Competencies
Comfortable working remotely and available during LATAM / US Pacific business hours overlap.
Good communication skills and client management.
Proactive and curious attitude.
Our team profile
At Momentous, the team is intentionally diverse — in background, discipline, and perspective — united by a shared belief that AI is a tool to amplify human capability, not replace it. We care deeply about how we work together: partnerships built on trust, communication that's direct and honest, and a culture where people are expected to grow, challenge ideas, and own their work. Whether you're working with a client or a teammate, the relationship matters as much as the output.
Reasons to join our team
Trust-based time off (minimum 4 weeks per year)
Equipment stipend
Annual learning and conference budget
Health coverage per local market
Career progression: most Software Engineers progress to Senior Applied AI Engineer within 18–30 months based on demonstrated capability
Equal Opportunity
Momentous is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all team members.
Relevant details before applying for this vacancy
This is a full-time position that requires your complete focus and dedication. We are not looking for candidates with active side jobs or parallel commitments — we expect this role to be your primary professional engagement.
Originally posted on Himalayas
Apply on Himalayas →
Job sourced from Himalayas. Applications happen directly on the original platform — we never collect your data.