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Responsibilities Design multi-agent systems that operate across chat, voice, and email channels using CRM and GTM data Build the brains of agents: prompts, reasoning logic, and memory that combine structured CRM data with unstructured signals such as notes, emails, and calls Integrate CRMs, analytics platforms, and GTM tools (Salesforce, HubSpot, Gong, etc.) into Alta’s semantic context layer Collaborate directly with clients to gather requirements, configure solutions, and provide technical support throughout deployment and testing Implement agent tools and functions in TypeScript or Python for enrichment, scoring, forecasting, and task execution Test and evaluate agents with live data and improve their accuracy, reliability, and performance Collaborate with Product, RevOps, and Data teams to define what intelligence means in each GTM workflow Contribute to internal frameworks and SDKs that accelerate the development and evaluation of new agents Requirements Bachelor’s degree or higher in Computer Science, Data Engineering, or a related field Strong programming skills in TypeScript and/or Python Experience integrating APIs, CRMs, and data pipelines between SaaS systems Familiarity with LLMs, retrieval frameworks, and orchestration tools such as LangChain or LlamaIndex Understanding of data modeling, prompt design, and reasoning flows Experience with monitoring or analytics tools such as Datadog or Mixpanel Excellent communication and client engagement skills Fluency in English Curiosity and a passion for building real, production-grade AI systems Bonus: Experience with sales or marketing data Background in conversational AI or autonomous agents Interest in forecasting, pipeline analysis, or revenue operations About Alta Alta is the AI Native GTM Operating System that connects every revenue function, from outbound to inbound to RevOps, through autonomous AI agents. Our agents (Katie – AI SDR, Alex – AI Inbound, and Luna – AI RevOps) act on real company data: CRM records, emails, calls, and engagement history. We unify this data into a semantic GTM brain that helps companies plan smarter, execute faster, and grow revenue intelligently. The Role We are looking for an AI Engineer who loves the intersection of data, logic, and intelligence. You will design reasoning workflows, build context layers, and connect Alta’s agents to real-world data from CRMs, APIs, and communication tools. Your work will help our agents understand who to engage, what to say, and when to act. Why Alta Build production-grade AI agents used by real GTM teams every day Shape the core intelligence layer that connects CRM, data, and communication in one system Collaborate with a high-performing, product-driven team that moves fast See your work directly impact how companies plan, sell, and grow
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.
