Senior Software Engineer

Senior Software Engineer

Job type: Full Time · Department: Engineering · Work type: Remote · USD 160,000-240,000 / year

United States

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About Akkio

Akkio is the AI infrastructure that powers agentic workflows across media companies. By running on-premises within agency cloud environments and sitting directly on top of data, Akkio enables organizations to productionize AI at enterprise scale, automating campaign workflows while maintaining complete security and governance control.

Our approach already powers some of the biggest names in media. Havas is building agentic AI into Converged.AI, its global operating system, in partnership with Akkio. Horizon Media strengthened its blu. platform with Akkio. Mediaplus built Plus.AI, its global AI media planning system, on our infrastructure. LG Ad Solutions uses Akkio to unlock real-time intelligence from ACR data.

Were a small, fast-growing team, and every person here shapes what medias biggest players do next.

How we build

We build with AI the way we expect our partners to run on it: aggressively, thoughtfully, and in production. Agentic coding is foundational to how our engineering team works. Our engineers orchestrate coding agents to move from idea to shipped product at a pace that would be impossible by hand, and they hold that output to a high bar for quality, testing, and reliability.

If youve rebuilt your workflow around agents, maintaining context files for your repos, running agents on real production work, publishing MCP servers, or rethinking how code review works when an agent writes the first draft, youll feel at home. If youre still evaluating whether AI coding tools are ready, this probably isnt the right role.

The opportunity

We hire senior software engineers into four areas of focus: backend, full stack, data, and infrastructure. Most of what makes an engineer great at Akkio is the same across all four - the specialty is where youll go deepest, not a box youll stay in. Apply once and tell us which area fits you best; if youre between two, tell us that too.

Whatever your focus, youll build the systems behind customer-facing AI agents running in production at the worlds largest media agencies. This role is built for owners. Requirements at a fast-moving AI startup are rarely fully defined and often shift as we learn from customers. Were looking for someone who treats that as the fun part: someone who takes a partially-shaped problem, drives it to a well-shaped solution, and ships a great product without waiting for a full spec. Youll have direct influence on technical direction, and your work will land in production at agencies serving the worlds biggest brands.

What youll do

• Own complex technical projects end-to-end, from ambiguous problem statement through architecture, build, deployment, and iteration in production

• Multiply your output with agentic coding and help raise the bar for how the whole team builds with agents

• Design systems that scale with our partner base while improving reliability, performance, and cost efficiency

• Implement security and compliance measures that protect sensitive partner data

• Set engineering standards for code quality and testing in an agent-assisted codebase, and mentor teammates on both

• Work directly with engineers, data scientists, and customer teams, and communicate clearly with stakeholders as requirements evolve

Who you are

• 5+ years of software engineering experience with a track record of solving hard technical problems

• Youve deeply integrated AI coding into your daily workflow; agents are your default way of building, not an occasional assist and you can speak concretely about how you direct them, where they fail, and how you verify their output

• You thrive on ownership: youve repeatedly taken loosely defined or shifting requirements and delivered great products anyway, filling gaps with judgment rather than waiting for direction

• Experience building and debugging large-scale production systems

• Strong background with cloud infrastructure (AWS, GCP, and/or Azure) and modern DevOps practices

• Strong bias to execution coupled with high engineering standards and attention to detail

Your specialty

Backend. Build the server-side systems that power our AI platform: APIs behind customer-facing agents, model deployment and inference infrastructure, and large-scale processing of media and audience data. You bring strong production Python, deep understanding of REST APIs and database design, and experience with distributed architectures.

Full stack web. Build the interfaces where agency teams interact with AI agents, explore data, and ship campaign work. You bring strong experience with modern JavaScript frameworks (we use Vue.js, Node.js, and TypeScript), complex state management, data visualization, and the design sensibility to implement sophisticated interfaces accurately.

Data. Build the pipelines and data foundations our platform runs on: high-volume ingestion from partner systems, transformation and modeling for AI workloads, and the analytics architecture behind audience and campaign intelligence. You bring expert SQL, deep experience with cloud data platforms (Snowflake, BigQuery, or Databricks), and fluency with orchestration tools like dbt or Airflow.

Infrastructure. Build the systems that let our platform run inside our partners own cloud environments at enterprise scale: deployment automation, observability, reliability, security, and cost efficiency across AWS, GCP, and Azure. You bring deep experience with containerization and orchestration (Docker, Kubernetes), CI/CD, and infrastructure as code.

Bonus points

• Public artifacts of your agentic workflow: CLAUDE.md/AGENTS.md context files in your repos, published MCP servers, agent co-authored commit history, or writing about how you build with agents

• Hands-on experience building with large language models: evals, tool use, agent orchestration, or LLM-powered product features

• Depth in a second specialty from the list above

• Understanding of security best practices for handling sensitive data

• Previous early-stage startup experience

Why youll love working here

Build at the frontier. Youll work on a team thats genuinely all-in on agentic development, with the tools, budget, and encouragement to push whats possible with AI coding. What most companies call an experiment, we call Tuesday. Youll get better at this craft faster here than almost anywhere.

Ride real acceleration. Akkio is a well-funded startup in a rapidly accelerating phase with major enterprise partners in production, expanding global deployments, and a market thats moving toward us. Joining now means real ownership of outcomes and real upside: substantial equity, outsized scope, and a direct line from your work to company results.

Work with an exceptional team. Our team is small and accomplished, composed of people whove built and scaled products at top companies and chose to do the ambitious thing here. Our culture is built around shared wins: high trust, low ego, and the expectation that everyone operates like an owner.

Additional information

Location: Remote-first company with no central office location. This position is fully remote.

Compensation: Competitive salary range depending on experience, plus substantial equity grants.

Benefits: Health, dental, and vision insurance; 401(k) plan; generous PTO policy.

Authorization: Must be authorized to work in the US.

Akkio is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills, and we believe that the more inclusive we are, the better our work will be.

To all recruitment agencies: Akkio does not accept agency resumes. Please do not forward resumes to our jobs alias or Akkio employees. Akkio is not responsible for any fees related to unsolicited resumes.

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