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

Experience: 4-5+ YearsEmployment Type: Full-TimeHiring Partner: FlatgigsClient: Confidential AI Research & Innovation LabAbout The OpportunityFlatgigs 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 ForCore 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 NoteThis opportunity is being managed by Flatgigs on behalf of a confidential client. Client details will be shared with shortlisted candidates during the hiring process.