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About Mappa
Mappa builds real-time voice-AI infrastructure that decodes over 100,000 behavior patterns per person—based on prosodic and linguistic signals—and turns them into actionable insights for hiring and beyond. We’re growing fast and building novel LLM-based systems that power behavior interpretation at scale.
Role Purpose
Design, implement, and maintain agentic systems that turn raw voice data into intelligent decisions. You'll own the architecture and prompt logic behind Mappa’s LLM pipelines—ensuring safe, scalable, and high-precision outcomes.
Key Outcomes (First 6 Months)
Build and deploy core LLM agents capable of executing multi-step reasoning tasks with memory, safety checks, and structured handoffs.
Deliver prompt architectures that support real-time interaction with prosodic and linguistic features.
Implement testing and evaluation workflows to monitor hallucinations, latency, and performance of agentic flows.
Collaborate with behavioral scientists and product teams to continuously refine the signal-to-insight loop.
Core Responsibilities
Architect and maintain prompt frameworks, chains, and guardrails for LLM-based behavior inference.
Build custom agents using tools like OpenAI’s Agents Framework, integrating with internal APIs and voice-processing layers.
Implement memory systems, feedback loops, and handoff logic to other systems (human or machine).
Ensure safety, reliability, and transparency across LLM interactions.
Partner with Engineering and Data Science to continuously test, fine-tune, and improve LLM performance.
Document systems, prompts, and experiments for internal reproducibility and iteration.
Must-Have Skills
3–5 years of experience in backend or ML engineering with exposure to LLMs and agentic architectures.
Strong knowledge of Python and/or TypeScript.
Hands-on experience with prompt engineering and LLM APIs (OpenAI, Anthropic, etc.).
Familiarity with agent frameworks (e.g., OpenAI Agents, LangChain, or similar).
Understanding of memory management, handoff logic, and prompt evaluation techniques.
Ability to collaborate closely with product, behavior science, and data teams.
Fluent English.
Nice-to-Have
Experience working with safety tooling for LLMs (e.g., moderation APIs, rule-based filters, evaluation tooling).
Exposure to voice, audio, or NLP pipelines.
Familiarity with real-time or latency-sensitive AI systems.
Who You Are
Builder of smart systems. You move fast, test relentlessly, and are passionate about using LLMs not just to chat—but to reason, decide, and act. You care about edge cases, safety, and crafting behavior that feels intentional and reliable.
Why Join Mappa
Deep tech: Work at the intersection of LLMs, voice, and behavioral science.
High ownership: Build the agentic brain behind our core products.
Remote-first: Join a distributed team across LatAm and the U.S.
We thrive in the technology industry by using AI and voice analysis to connect diverse talent with opportunities. Our innovative approach saves time and costs, fostering a dynamic work environment where unique perspectives are celebrated and growth flourishes.
Quickly validate your skills through audio responses while applying—It's just like recording an audio on WhatsApp.
1
Apply for a job
Our AI-powered matching algorithm considers over 100,000 data points to curate a thoroughly vetted shortlist just for you.
2
Get matched
We analyze the nuances of your voice, your career so far, and the quality of your audio responses to mapp your profile and match you with the right company.
2
Get matched
Our AI-powered matching algorithm considers over 100,000 data points to curate a thoroughly vetted shortlist just for you.
3
Meet the company
We’ll highlight all the reasons why the company should hire you, and you will receive an invitation for an interview to showcase those reasons.
3
Meet the company
Our AI-powered matching algorithm considers over 100,000 data points to curate a thoroughly vetted shortlist just for you.
4
Get hired
Mappa will handle everything from contract to payment, allowing you to focus on delivering your best work.
4
Get hired
Our AI-powered matching algorithm considers over 100,000 data points to curate a thoroughly vetted shortlist just for you.