I’m trying to transition into Agent Engineer / Forward Deployed AI Engineer roles, and I’m looking for a realistic assessment of what gaps I need to close. My background:
- CS degree
- 9 years in blockchain, mostly solution architecture / research-oriented roles
- 2 years founder experience
- Comfortable with agentic coding workflows
- Have built several agent/AI-related projects that I think are decent, but I’m not sure how they read to hiring teams The problem I’m running into is that many of these roles seem to expect fairly strong software engineering fundamentals: production Python, backend/API work, infra, evals, debugging, shipping reliable systems, etc. I’m not starting from zero technically, but I also don’t want to fool myself into thinking “I can build with agents” is the same as being ready for a serious engineering role. For people hiring for or working in Agent Engineer / FDE / AI Engineer roles: What skills actually matter most for these roles in practice? How much Python/backend depth is expected before someone is credible? What kinds of projects would demonstrate readiness? How should someone with a solution architect/research/founder background position themselves? What would you do over the next 3-6 months to bridge the gap realistically? I’m especially interested in honest feedback on whether I should aim directly for Agent Engineer/FDE roles, or first target adjacent roles like AI Solutions Engineer, Developer Advocate, Technical PM, Solutions Architect for AI products, etc., while building deeper engineering credibility. submitted by /u/the_blockchain_boy
Originally posted by u/the_blockchain_boy on r/ArtificialInteligence
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