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AI Engineer - R&D to Production (Multi-Modal: Video, Text, Audio) at Flatgigs. 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.. Company Location: United Arab Emirates.