AI Engineer - R&D to Production (Multi-Modal: Video, Text, Audio)

About This Role

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.