We need to output HTML fragment with sections: About the role? Actually we have company description, role description, what you'll work on, ideal profile, what you bring to the table, why you should join our team, why codos? We need to map to headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We must only include sections when posting has real specific content. We need to extract content and map to appropriate sections.
We have no explicit Benefits, Pay, Schedule. So we should not include those sections.
We need to include sections like About the role (maybe company description + role description). Responsibilities (what you'll work on). Requirements (ideal profile? maybe qualifications). Qualifications (what you bring to the table). Skills (maybe not explicit). But we need to avoid filler.
We need to preserve all substantive info, not invent.
Let's parse content:
Company Description: Codos is an AI transformation company... (description). Role Description: The Forward Deployed Engineer is a full-time, remote role responsible for building and deploying AI-powered software solutions directly within client environments... (details). What You'll Work On: list of bullet-like sentences (starting with Owning..., Connecting..., Setting up..., Building..., Working..., Turning...). Ideal Profile: bullet-like sentences (Previously worked..., Worked at..., Has a proven...). What You Bring to the Table: bullet-like sentences (You have deployed..., You are a strong engineer..., You can explain..., You get things done..., You have built..., You can carry...). Why You Should Join Our Team: paragraph about being first forward deployed engineer, shaping playbook, etc. Why Codos?: paragraph about impact, small team, etc.
We need to map to headings.
Possible sections:
- About the role: combine Company Description and Role Description? Could be separate: About the role (role description) and maybe Company Description could be under About the company but not a heading we have. We only have allowed headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. So we need to fit content into these.
We could put company description under About the role (maybe as intro). Responsibilities: What You'll Work On (list). Requirements: Ideal Profile (maybe). Qualifications: What You Bring to the Table (maybe). Skills: maybe not present; we could omit Skills section if no specific skill list. Benefits, Pay, Schedule: omit.
We also have Why You Should Join Our Team and Why Codos? Could be considered as part of About the role or maybe as a separate section like Benefits? But they are not benefits per se. Could be considered as "Why join" but we don't have a heading for that. Could we incorporate into About the role as additional prose? Probably okay to include as part of About the role description.
We must not invent sections. So we will output:
About the role
Company description paragraph + Role description paragraph + Why you should join our team + Why Codos? maybe combine.
Then Responsibilities:
Responsibilities
- ... each bullet from What You'll Work On
Requirements:
Requirements
- ... each bullet from Ideal Profile
Qualifications:
Qualifications
- ... each bullet from What You Bring to the Table
We must not include empty sections.
Check that we preserve all substantive info: we need to include all bullet points from each section.
Let's extract bullet points.
What You'll Work On:
- Owning the technical deployment of Codos Virtual Chief AI Officer and Company Brain, from kickoff and system setup to daily use by the client’s teams
- Connecting approved sources such as Slack, email, calls and documents to Company Brain, configuring access and checking that its answers reflect the client’s business
- Setting up Virtual Chief AI Officer around the client’s goals and workflows, validating diagnostic findings and turning prioritized opportunities into a build plan
- Building and evaluating agents, MCP servers, skills and integrations that use Company Brain to run workflows across finance, sales, support, HR and engineering
- Working with function heads to get those workflows into daily use, resolve deployment issues and review the results
- Turning the integrations, skills and deployment patterns you build repeatedly into reusable parts of the platform
Ideal Profile:
- Previously worked on applied AI in-house, in an AI practice at a consultancy, or at an AI deployment company
- Worked at a Speedrun, YC or other early-stage startup
- Has a proven AI implementation success case that delivered $1M+ in impact
What You Bring to the Table:
- You have deployed AI systems inside companies and owned the integrations, access setup and work needed to get people using them
- You are a strong engineer who has led technical delivery for demanding customers, as a founder or CTO, a forward deployed or solutions engineer, or an engineering lead
- You can explain an architecture to a CTO and a trade-off to a CFO on the same day
- You get things done inside a large client where nobody owes you access, data or time
- You have built a function or a client practice from nothing, not taken over a running one
- You can carry one or two clients at a time and travel for kickoffs and key moments
Now About the role content: Company Description paragraph, Role Description paragraph, Why You Should Join Our Team paragraph, Why Codos? paragraph.
Let's extract them.
Company Description: "Codos is an AI transformation company that helps enterprise and midsize organizations become AI-native and realize financial impact within months. By combining strategic expertise similar to top consulting firms with cutting-edge AI research and engineering, Codos delivers practical, software-driven transformation. The company focuses on AI-transformation-as-software, enabling clients to quickly integrate AI into core operations. Team members work on high-impact initiatives that directly influence business outcomes. Codos offers a dynamic environment for professionals who want to shape how businesses adopt and scale AI."
Role Description: "The Forward Deployed Engineer is a full-time, remote role responsible for building and deploying AI-powered software solutions directly within client environments. In this role, you will collaborate with client stakeholders and internal teams to understand business requirements, design technical architectures, and implement robust back-end systems and services. You will develop, test, and maintain production-quality code, integrate AI models and APIs, and ensure reliability, scalability, and performance of deployed solutions. Day-to-day work includes troubleshooting issues, optimizing systems, and iterating quickly based on client feedback. You will also contribute to internal product development based on your client experiences and development of best practices that improve future deployments."
Why You Should Join Our Team: "Today a handful of people carry all client work, and every client is a multi-year relationship with direct access to the CEO and the executive team. You will be one of the first forward deployed engineers, so the playbook, the tooling and the way this function works will be shaped by you. You will shape how our product is installed, trusted and used inside a company. The integrations, skills and deployment patterns you develop feed back into the platform, so your work at one client makes the next deployment better. This is the first of several forward deployed hires, and there is room to lead the function as it grows."
Why Codos?: "We help large companies become self-evolving organizations.Real impact: We generate millions of dollars of impact for NASDAQ-listed and PE-backed clients, and we are going after the $500B services industry with software.Small team, huge impact: We are fewer than ten people, backed by a16z speedrun. The team is ex-McKinsey, ex-Meta ML and ex-Tesla, and the founders have run companies before: Dima scaled Everclear to $1B in monthly volume as CEO. Each new hire changes the company's trajectory.Client impact first, AI-native: We measure ourselves by the money a client saved or earned. Everyone here builds their own agents, and the company runs on its own company brain, the same way we teach clients to work.Demand is ahead of our headcount, and we are hiring to close that gap."
Note there are some missing spaces after colons but we keep as is.
We'll combine into a single
maybe multiple paragraphs. Use
for prose; we can have multiple
inside the section.
Thus About the role section will have multiple
elements each containing one of those paragraphs.
Now output HTML fragment.
We must not include any markdown fences.
Let's craft:
About the role
Codos is an AI transformation company that helps enterprise and midsize organizations become AI-native and realize financial impact within months. By combining strategic expertise similar to top consulting firms with cutting-edge AI research and engineering, Codos delivers practical, software-driven transformation. The company focuses on AI-transformation-as-software, enabling clients to quickly integrate AI into core operations. Team members work on high-impact initiatives that directly influence business outcomes. Codos offers a dynamic environment for professionals who want to shape how businesses adopt and scale AI.
The Forward Deployed Engineer is a full-time, remote role responsible for building and deploying AI-powered software solutions directly within client environments. In this role, you will collaborate with client stakeholders and internal teams to understand business requirements, design technical architectures, and implement robust back-end systems and services. You will develop, test, and maintain production-quality code, integrate AI models and APIs, and ensure reliability, scalability, and performance of deployed solutions. Day-to-day work includes troubleshooting issues, optimizing systems, and iterating quickly based on client feedback. You will also contribute to internal product development based on your client experiences and development of best practices that improve future deployments.
Today a handful of people carry all client work, and every client is a multi-year relationship with direct access to the CEO and the executive team. You will be one of the first forward deployed engineers, so the playbook, the tooling and the way this function works will be shaped by you. You will shape how our product is installed, trusted and used inside a company. The integrations, skills and deployment patterns you develop feed back into the platform, so your work at one client makes the next deployment better. This is the first of several forward deployed hires, and there is room to lead the function as it grows.
We help large companies become self-evolving organizations.Real impact: We generate millions of dollars of impact for NASDAQ-listed and PE-backed clients, and we are going after the $500B services industry with software.Small team, huge impact: We are fewer than ten people, backed by a16z speedrun. The team is ex-McKinsey, ex-Meta ML and ex-Tesla, and the founders have run companies before: Dima scaled Everclear to $1B in monthly volume as CEO. Each new hire changes the company's trajectory.Client impact first, AI-native: We measure ourselves by the money a client saved or earned. Everyone here builds their own agents, and the company runs on its own company brain, the same way we teach clients to work.Demand is ahead of our headcount, and we are hiring to close that gap.
Then Responsibilities:
Responsibilities
- Owning the technical deployment of Codos Virtual Chief AI Officer and Company Brain, from kickoff and system setup to daily use by the client’s teams
- Connecting approved sources such as Slack, email, calls and documents to Company Brain, configuring access and checking that its answers reflect the client’s business
- Setting up Virtual Chief AI Officer around the client’s goals and workflows, validating diagnostic findings and turning prioritized opportunities into a build plan
- Building and evaluating agents, MCP servers, skills and integrations that use Company Brain to run workflows across finance, sales, support, HR and engineering
- Working with function heads to get those workflows into daily use, resolve deployment issues and review the results
- Turning the integrations, skills and deployment patterns you build