Flink Builder

FlytBase
Pune, Maharashtra

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Job details

Full-time
7 hours ago

Benefits

Flexible schedule

Qualifications

Image processing
Cloud infrastructure
Computer vision
Public speaking
Docker
SDKs
APIs
AI
Python

Full job description

FlytBase

Engineering

Pune, India (Onsite)

Full-time

1-2 years

What We Do

FlytBase builds the world's leading Physical AI drone autonomy platform, powering mission-critical operations across 300+ enterprise sites in 40+ countries. Its customers include Fortune 500 leaders such as Shell, CSX, UK Police, Airbus, Anglo American, Dole and Statnett. Explore some of our key deployments here - flytbase.com/case-studies. With a presence in the US and Pune, India, FlytBase is building the nervous system for large industrial sites. The company operates at AI speed, with autonomy and intelligence at its core. Our lean team thrives in a high-agency, high-velocity environment where AI is not a side project, it is the operating system for how we think, build, and grow.

The Role

You'll build the brain that tells drones what to do next—not through pre-programmed routines, but through multi-agent AI systems that reason, perceive, and act autonomously. This isn't research AI or chatbot wrappers. You're building production frameworks where AI agents coordinate fleet operations, make real-time decisions based on sensor data, and execute missions across 300+ enterprise sites in 40+ countries. You'll work at the intersection of LLMs, computer vision, and robotics—designing agentic workflows that bridge reasoning models with physical drone control systems. One day you're building a perception agent that interprets thermal camera feeds to detect infrastructure faults. The next, you're orchestrating multi-agent systems where planning agents coordinate with execution agents to optimize battery life across a fleet. This is AI that flies, not AI that recommends.

What You'll Own

• Design and build multi-agent AI frameworks that control autonomous drone operations end-to-end • Integrate LLMs, vision models, and sensor fusion systems into unified agentic architectures • Build reasoning pipelines where AI agents make mission-critical decisions in real-time with safety constraints • Develop perception modules that turn raw drone telemetry and camera feeds into actionable intelligence • Create orchestration layers that coordinate multiple AI agents—planning, execution, monitoring—into coherent workflows • Deploy and scale agentic systems across cloud and edge infrastructure with sub-second latency requirements • Build evaluation frameworks to test agent behavior, decision quality, and safety boundaries before production • Work with robotics and platform engineers to close the loop between AI decisions and physical drone actions

Best Suited For

• 1-2 years building production AI/ML systems—internships, side projects, or early-career roles where you shipped models to users • Strong Python engineering skills with experience in AI frameworks like LangChain, LangGraph, CrewAI, or built your own agent orchestration from scratch • Hands-on experience with LLMs (OpenAI, Anthropic, open-source models) and know how to prompt, fine-tune, and evaluate them for real tasks • Familiarity with computer vision or sensor processing—you've worked with image models, video streams, or multi-modal data pipelines • Comfort with deploying ML systems in production—you understand Docker, APIs, cloud/edge infrastructure, and real-world performance constraints • Genuine curiosity about robotics, drones, or physical AI—you want to build systems that interact with the real world, not just pixels on a screen • High learning velocity—you pick up new tools, research papers, and frameworks fast without needing a syllabus • Bonus: Experience with ROS, drone SDKs, real-time systems, or reinforcement learning

What Makes You a Flyter

• Builder mindset: You don't wait for perfect specs. You prototype fast, test in the wild, and iterate based on what breaks. • Comfortable with ambiguity: Multi-agent AI is bleeding edge. You're excited to figure out architectures that don't have Stack Overflow answers yet. • Outcome obsession: You measure success by whether the drone completed the mission, not whether your model hit 95% accuracy in a notebook. • AI-native thinking: You treat AI as infrastructure, not a feature. You automate your own workflows and expect AI to do the heavy lifting. • High agency: You see a gap between what AI can reason about and what drones can execute—and you build the bridge without being told how.

What We Don't Want

• ML engineers who only work in notebooks and hand off deployment to someone else • People who treat agents as a buzzword but haven't actually built orchestration systems that coordinate multiple models • Developers who need perfect requirements and get stuck when the problem space is ambiguous • Anyone who thinks 'AI safety' means not shipping until everything is perfect—we ship fast with guardrails, not slow with paranoia • Engineers who want to work on one narrow ML problem for months—this role requires full-stack thinking from model to deployment to physical action

Why FlytBase?

• H3 Philosophy: We're building a company that's Happy, Healthy, AND High-Performing. Not as a balance—as a harmony. We move fast without burning out. • Radical Ownership: You won't need permission to experiment, build, or lead. If you see a problem, you own the solution. • Mazaa Aayega: Our internal motto. Yes, the work is intense. But it's also deeply meaningful and genuinely fun. • Systems That Scale: We don't celebrate one-off heroics. We build compounding systems that create leverage. • In-Person Energy: We work from our Pune office because proximity accelerates everything—ideas, feedback, trust, and impact, but travel globally for customer meetings, tradeshows, and deployments.

The Perks

• High agency team and sense of purpose • International Travel—we travel to all 6 continents (sorry, no business in Antarctica yet) • Thought leadership & public speaking opportunities at online & physical events • No-cap budget for AI tools, courses, or experiments • Latest tech stack and tools—whatever helps you move faster • Family Day—Once a year, we transform our office to showcase our work to the people who matter most • Top-tier health coverage for you • Unlimited leave policy & flexible working hours (no punch-in/out) • A damn good team to work with

Who You'll Work With

You'll work directly with our AI/ML team in Pune and collaborate with robotics engineers who build the drone control stack. You'll also sync with our platform team to deploy agents at scale across edge devices and cloud infrastructure. Expect rapid feedback loops—what you build today gets tested on real drone hardware this week.

Ready to Fly?

If you've been waiting for a role where your AI work doesn't just generate text but controls machines in the real world—this is it. FlytBase moves fast, ships hard problems, and gives you room to build systems that don't exist yet.

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