Future AGI
Website:
futureagi.com
Job details:
About Future AGI
Future AGI is an AI lifecycle platform designed to support enterprises throughout their AI journey. We combine rapid prototyping, rigorous evaluation, continuous observability, and reliable deployment to help organizations build, monitor, optimize, and secure generative AI applications.
We're working to make GenAI accessible to all—so building with AI becomes as common as writing code. Our platform powers everything from LLM evaluation and agent simulation to real-time guardrailing and prompt optimization.
The Opportunity
This isn't your typical internship where you shadow people and work on side projects that never ship.
At Future AGI, you'll be in the arena—writing code that goes to production, building infrastructure that handles millions of events, and working on problems that most engineers don't get to touch until years into their careers. You'll ship SDKs that developers at other companies rely on. You'll see your documentation help engineers integrate AI into their products. You'll learn what it actually takes to build and scale a modern data platform.
We're a small, fast-moving team building at the frontier of generative AI tooling. That means you won't be a cog in a machine—you'll have real ownership, direct impact, and a seat at the table. The learning curve is steep, but so is the growth.
And if you crush it? This internship is a direct path to a full-time role. We're not here to train you for someone else. We're looking for future teammates—people who want to grow with us and help build something meaningful. Many of our best hires started exactly where you are now.
What You'll Do
- Build and maintain backend services and APIs using Python (FastAPI/Django)
- Work with PostgreSQL for relational data and ClickHouse for high-volume analytics queries
- Develop and optimize data ingestion pipelines for LLM traces and evaluation events using Kafka
- Implement background job processing with Celery for async tasks like batch evaluations and simulations
- Use Redis for caching, rate limiting, and real-time features
- Build and maintain SDKs in Python, Node.js, or other languages to help developers integrate with our platform
- Write and update product documentation—API references, integration guides, and tutorials that developers actually want to read
- Pick up new languages and tools as needed—Go, Node.js, or whatever the problem demands
- Write efficient, well-tested code and participate in code reviews
- Help build features across our observability, evaluation, and guardrailing products
- Debug and troubleshoot issues across distributed systems
- Deploy and monitor services on Kubernetes (AWS/GCP)
What We're Looking For
Required:
- Currently pursuing a Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field
- Solid proficiency in Python
- Understanding of relational databases and SQL
- Familiarity with REST APIs and web service development
- Strong problem-solving skills and attention to detail
- Good written communication skills—you can explain technical concepts clearly
- Willingness to learn new programming languages (Go, Node.js, Rust, etc.) and adapt to evolving tech needs
- Ability to work independently with minimal hand-holding
Nice to Have:
- Experience building or contributing to SDKs or developer tools
- Experience writing technical documentation or tutorials
- Experience with FastAPI or Django
- Familiarity with ClickHouse, PostgreSQL, or other OLAP/OLTP databases
- Exposure to Kafka, Redis, or Celery
- Experience with Docker and Kubernetes
- Understanding of event-driven architectures and data pipelines
- Familiarity with cloud platforms (AWS or GCP)
- Interest in AI/ML or experience working with LLMs
What It Takes to Thrive Here
We're a fast-paced startup, and that comes with its own rhythm. You'll do well here if you:
- Move fast and iterate — You're comfortable shipping quickly, learning from feedback, and improving as you go. Perfect is the enemy of done.
- Wear multiple hats — Some days you'll write backend code, other days you'll build an SDK, update docs, or jump on a customer issue. Boundaries are blurry, and that's exciting to you.
- Handle ambiguity — Requirements change, priorities shift, and sometimes you'll figure things out as you go. You see this as an opportunity, not a blocker.
- Communicate proactively — You speak up when you're stuck, share progress without being asked, and aren't afraid to ask "dumb" questions.
- Take ownership — You don't wait to be told what to do. You see a problem, you fix it. You own your work end-to-end.
- Learn relentlessly — New tools, new languages, new domains—you pick things up fast and enjoy the process.
Why This Could Be the Best Decision You Make
- Real work, real impact — No busywork. Your code ships to production and powers features used by developers worldwide.
- Accelerated growth — Startup pace compresses years of learning into months. You'll level up faster here than anywhere else.
- Work on cutting-edge infrastructure — ClickHouse, Kafka, Kubernetes, LLM pipelines—this is the modern data stack, and you'll get hands-on with all of it.
- Build developer tools — Create SDKs and integrations that engineers at other companies depend on.
- Path to full-time — We hire from within. Prove yourself during the internship, and there's a full-time offer waiting for you.
- Mentorship that matters — Work directly with experienced engineers who are invested in your growth, not managers three levels removed.
- Flexibility — Remote-friendly, async-first, outcome-focused. We care about what you deliver, not when you're online.
- Ground floor opportunity — Join early, grow with the company, and look back knowing you helped build it.
How to Apply
https://forms.gle/hGnsmhaRNposSVRZ8
Click on Apply to know more.