Role Overview
AutogenAI is hiring a Senior Platform Engineer, AI SaaS / Federal. This is a full-time role in Washington. Part of AutogenAI's Backend hiring, posted yesterday. Full responsibilities, required qualifications, and the apply link are listed in the description below.
Salary Context
Salary is not disclosed in this posting. Market median for Senior-level Backend roles is $165k-$210k (based on 53 comparable listings). Many employers share specifics during the interview process or after an initial screen.
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Job description
Join AutogenAI - Revolutionizing Proposal Writing with generative AI
AutogenAI is a leader in generative AI SaaS, transforming how organizations draft and optimize winning proposals through cutting-edge natural language processing technology. We are one of the fastest-growing AI companies in the world, expanding rapidly to meet the increasing demand for AI-driven solutions across industries.
Our innovation stems from a belief that language AI technology will revolutionize business communication over the next decade. We empower our clients to grow faster and more efficiently by delivering AI language engines customized to their needs that save time, improve content quality, and increase win rates in highly competitive markets.
AutogenAI is a company where everyone can have a career-defining experience and success is achieved by fostering a culture where innovation and ambition thrive. As we scale, passionate professionals are invited to join our journey of innovation, helping shape the future of AI-powered business solutions.
Job Summary
As a Software Engineer on the Platform team at AutogenAI, you will work on a combination of application infrastructure and developer infrastructure challenges to make our product and product team go faster This can include many topics; improving auth/RBAC, building feature flag tooling to facilitate rollout of new features, spotting re-usable tooling and packaging it, or transitioning our repositories to a monorepo to improve build times.
This role is a mix of traditional backend software engineering work and platform engineering work, where you'll help with supporting some of our US-specific infrastructure while contributing to the application development. You will be joining a global team of DevOps Engineers and Software Engineers. This is an ideal role for a backend-focused software engineer who wants to upskill and move closer to SRE/DevOps work.
While a lot of the work has a focus on improving things behind the scenes, we are expecting to play a key role in the business this year as more enterprise customers onboard and require platform changes to effectively integrate with them - so there are many opportunities ahead to have direct business impact through this role.
Location:
This role is preferably based in the Northern Virginia/DC Metro GovCon corridor, including Tysons, Reston, Herndon, Chantilly, Arlington, Fairfax, and the surrounding DC market. NYC may be considered for an otherwise exceptional candidate. Some travel may be required in the DC-area for customer meetings, with periodic travel to the Midtown NYC office as needed.
What you'll be responsible for:
- Supporting our US-specific infrastructure as part of a team: A lot of our engineering functions are based in the UK, but we have US-specific hosting requirements due to our FedRAMP High authorization. This means we need folks onshore in the USA to support this. This is a strategic business focus for the company. To this end, you'll be part of an oncall rotation for this environment.
- Building and maintaining application infrastructure: This is the layer of the product that isn't tied to a specific feature, but impacts the whole product - e.g. auth, RBAC, logging, monitoring. You will work closely within your team to make major improvements and changes to the application infrastructure.
- Improving the developer experience at AutogenAI: This encompasses deployment pipelines, local/remote development tooling, and anything that might improve the developer experience. This will be a combination of planned major improvements, and ad hoc improvements that you might spot and implement in an agile way.
- Collaborating with the wider engineering team: you will have a lot of autonomy in this role to suggest the next improvements to implement; this means you should be building ties with the wider engineering team so you can figure out what might help them. You will collaborate with them through joint projects, troubleshooting, and knowledge sharing.
What You'll Bring to the Team:
- Technical Expertise: you have experience building features and trouble shooting in your previous roles. You're eager to bring those skills to the table and make changes.
- Communication Skills: you can quickly build rapport inside and outside of your team. You'll learn how other teams work, and try to spot ways we can improve their lives.
- Adaptability and Initiative: you're enthusiastic about taking on new challenges and learning about new domains. You're not afraid to point out inefficiencies and suggest improvements
- Ownership: you care about the changes you make and the code you maintain; you want to see things working
- Client Facing Experience: you're comfortable representing Engineering as a technical expert in pre sales and client conversations with Enterprise personas in the Federal/GovCon space
Requirements
- Experience: 5+ years working on technical projects, building and shipping features
- Stack Familiarity: comfort with our TypeScript stack (Express, NestJS, React); Python a bonus
- Experience in Platform Infrastructure: knowledge and eagerness to upskill on Kubernetes, helmcharts, Docker, aws commands (or equivalent in the cloud provider you have used), and scripting
- GovCon / Federal Familiarity: Understanding of US public-sector procurement, GovCon workflows, or regulated-environment requirements (FedRAMP, GSA, and similar).
We are only able to consider applications from US Citizens or Green card holders
Preferred Qualifications
- Candidates with these experiences will be strongly prioritised:
- Production LLM Experience: Hands-on experience building and shipping LLM-powered features in production.
- Prompt Engineering and Context Techniques: Practical grasp of prompt engineering, RAG, and related techniques for getting reliable behaviour out of LLMs.
Preferred Qualifications
- SRE/DevOps Experience: if you've worked in these capacities before, awesome
Compensation and Benefits:
- Competitive Salary: $150,000 - $200,000 depending on specific experience and qualifications relevant to the role.
- Stock Options: Meaningful equity in the company.
- Comprehensive medical/dental/life insurance: Insurance coverage for individuals and families partially paid by the company as well as opportunity to participate in pre-tax health Flexible Spending Account.
- Retirement Plan: Ability to invest your pre-tax dollars in a 401(k) retirement plan with company matching contributions.
- Paid Time Off: Unlimited vacation (Yes, you read right!)
- Flexible Work Options: This role will be based in Washington DC, the DC beltway, or NYC - periodic visits to our Midtown NYC office are required for collaboration.
- Paid parental leave: 12 weeks if you've just given birth, 4 weeks if your partner has just given birth (after one year of year of service)
- Additional Perks: Your choice of laptop (Mac or Windows), regular company events to connect with teammates, and opportunities for continued professional development.
Values in Action:These aren't just principles we print and forget - they're how we work, how we treat each other, and how we deliver for our customers. They shape the company we are, and the one we aspire to become.
- Customers, Always: Everything starts with our customers. We walk in their shoes, speak their language, and build for their delight and success. We win when they win.
- Make It Happen: We move fast and take ownership. No waiting, no red tape - just action, urgency, and focus on outcomes. We ask for forgiveness, not permission.
- Learn and Invent: We stay curious. We learn what we can from past masters - and make up the rest. Change is constant, and so is our growth.
- Act Like Owners: Titles don't solve problems - people do. We own challenges, break the rules when it's necessary, and focus on what matters.
- Turn It Up to 11: There is no "Good enough". We raise the bar, push boundaries, and keep building. There's always a next level.
- Lead With Respect: We listen first, speak honestly, and value every perspective. Integrity, follow-through, and kindness matter.
- Build Trust Through Transparency: We default to openness. We give feedback, share information, and assume positive intent - no secrets, no silos.
AutogenAI is an merit-based equal opportunity employer, drug-free workplace, and complies with ADA regulations as applicable.
About AutogenAI
AutogenAI
autogenai.com
Frequently Asked Questions
How do I apply for the Senior Platform Engineer, AI SaaS / Federal position at AutogenAI?
Use the Apply button above to submit your application directly to AutogenAI. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Senior Platform Engineer, AI SaaS / Federal position at AutogenAI located?
This position is based in Washington. AutogenAI has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a Senior Platform Engineer, AI SaaS / Federal at AutogenAI earn?
AutogenAI has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Senior Platform Engineer, AI SaaS / Federal role at AutogenAI posted?
This role was posted on July 16, 2026 (yesterday). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
How much experience does the Senior Platform Engineer, AI SaaS / Federal role at AutogenAI require?
This is a senior-level position. Most senior roles call for 5+ years of directly relevant experience. AutogenAI lists their specific requirements in the description below, so review the must-have qualifications closely before applying.
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