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About Prospera AI We're building Sophie, a multi-agent AI orchestrator that helps wealth management advisors deliver more personalized, effective service to their clients. Our platform analyzes behavioral patterns, communication preferences, and emotional states to transform how advisors understand and serve their clients. We're a small, well-funded team at an exciting inflection point — our technology works, customers love the product, and now we're building the engineering team to scale. The Role We're looking for an AI/Backend Engineer to own and evolve our LLM orchestration pipeline. You'll be the first dedicated engineering hire, working directly with our CTO to transform Sophie from a working prototype into a scalable, enterprise-ready platform. This is a high-impact, high-autonomy role. You'll shape technical decisions that define the product for years to come. What You'll Do Own the AI Pipeline Design and optimize our multi-agent orchestration system Implement parallelization and streaming to dramatically reduce response latency Build robust prompt management with versioning and A/B testing capabilities Build RAG Systems Design retrieval-augmented generation for accurate, contextual responses Work with vector databases, embeddings, and relevance scoring Optimize for both speed and accuracy at scale Develop Production APIs Build developer-friendly APIs connecting our AI capabilities to the frontend Design for future integrations with CRMs and advisor tools Implement proper authentication, rate limiting, and documentation Shape the Foundation Establish code review practices and testing standards Document architecture decisions for future team members Contribute to technical patents and IP development What We're Looking For Must Have 4+ years production Python experience (async patterns, type hints) Hands-on experience with LLM APIs (OpenAI, Anthropic, or similar) Strong understanding of prompt engineering and multi-step LLM workflows Production API development experience (FastAPI or similar) Strong SQL and PostgreSQL skills Great to Have Experience with RAG systems and vector databases (Pinecone, Weaviate, pgvector) Streaming/real-time implementation experience (SSE, WebSockets) TypeScript/JavaScript familiarity FinTech or regulated industry background How You Work Self-directed and comfortable with ambiguity Strong written communication (async-first culture) Pragmatic problem-solver who ships iteratively Collaborative mindset with ego-free approach to feedback What This Role Is Not Not a pure ML/research role — you'll apply LLMs, not train them Not a management role — near-term focus is individual contribution Not fully autonomous — you'll collaborate closely with the CTO on architecture Not 9-to-5 — startup intensity applies, though we respect work-life balance Compensation & Benefits BaseCompetitive — Based on experience and location EquityMeaningful early-stage grant with 4-year vesting EquipmentProfessional laptop provided + remote work stipend after 6 months Time OffFlexible PTO with minimum 15 days encouraged LearningAnnual professional development budget ScheduleFlexible hours with 3–4 hours daily overlap Americas timezones Interview Process 1 Resume Review— 1–2 day turnaround 2 Technical Screen— 60 min video conversation with CTO 3 Take-Home Assessment— 4–6 hours (to be reviewed) 4 Assessment Deep Dive— 90 min collaborative review 5 Values & Fit— 45 min conversation 6 References & Offer Total timeline: 2–3 weeks
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.