Experience: 4–5+ Years
Employment Type: Full-Time
Hiring Partner: Flatgigs
Client: Confidential AI Research & Innovation Lab
About the Opportunity
Flatgigs is hiring AI Engineers for a confidential R&D-focused AI lab working across video, text, and audio problem spaces.
This is not a typical “apply a model and ship” role.
This is a research-driven environment where problems are not clearly defined, and solutions are not obvious.
You will spend time:
- Exploring
- Experimenting
- Failing
- Iterating
- And eventually solving problems that don’t have playbooks
If you need structured tasks and predictable outputs — this role will frustrate you.
If you enjoy going deep into problems and figuring things out from first principles — this is where you’ll thrive.
What You’ll Work On
- Solve complex AI problems across:
- Video understanding and processing
- Text-based AI / NLP systems
- Audio processing (nice to have, not mandatory)
- Design, experiment, and iterate on AI models and approaches
- Work on problems that may not have clear starting points or predefined solutions
- Explore multiple approaches before arriving at optimal solutions
- Contribute to research-driven experimentation and innovation
What We’re Looking For
Core Requirement
- 4–5+ years of experience in AI / Machine Learning
This level of experience matters because it typically brings exposure to multiple AI domains, not just one.
Multi-Modal Exposure (Important)
- Experience across at least two of the following areas:
- Video
- Text (NLP / LLMs)
- Audio (bonus)
👉 Candidates limited to only one vertical may struggle in this environment.
R&D Experience (Critical)
- Prior experience working in research or experimentation-heavy environments
- Exposure to:
- Prototyping
- Testing hypotheses
- Iterative experimentation
- Experience contributing to:
- Research initiatives
- Internal innovation projects
- Publications (nice to have, not mandatory)
Problem-Solving Depth
- Ability to go beyond “making things work” and instead:
- Understand why something works or fails
- Debug deeply at the model or system level
- Explore multiple approaches before finalizing a solution
Ideal Candidate Profile
- Curious by nature — asks “why” more than “what”
- Comfortable working in uncertain, ambiguous problem spaces
- Enjoys experimentation and is not discouraged by failure
- Thinks in terms of systems, patterns, and root causes
- Has a tinkerer mindset — explores beyond surface-level fixes
What Success Looks Like
- You are able to approach open-ended problems without predefined solutions
- You explore multiple directions instead of settling for the first working solution
- You contribute to building deep understanding, not just outputs
- You can work across different AI problem types without becoming a bottleneck
Nice to Have
- Research papers, publications, or contributions to open-source AI projects
- Experience with:
- Multi-modal models
- LLMs and advanced NLP
- Computer vision systems
- Audio processing systems
Why This Role
- Work on open-ended, high-impact AI problems
- Opportunity to explore across multiple AI domains
- Be part of a true R&D environment, not just product delivery
- Freedom to experiment, fail, and learn
Hiring Approach
- This is an ongoing hiring effort, not tied to a fixed headcount
- Quality matters more than speed or volume
- Strong candidates are hired continuously as they are identified
Confidentiality Note
This opportunity is being managed by Flatgigs on behalf of a confidential client. Client details will be shared with shortlisted candidates during the hiring process.
Originally posted on Himalayas