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Design and deploy production AI agent systems for real businesses. This isn't research it's applied AI engineering with guardrails, evaluation pipelines, and production-grade orchestration. This role is at the intersection of software engineering and AI research. You won't be fine-tuning models in isolation you'll be building complete agent systems that handle real business workflows, from sales intelligence to compliance monitoring. The AI landscape moves fast, and so do we. Build production AI agent systems using LangChain, CrewAI, and custom frameworksDesign evaluation pipelines that test agent behavior against known-good outputsImplement guardrails, audit trails, and compliance boundaries for regulated deploymentsOptimize LLM costs through prompt engineering, caching, and model routingIntegrate AI systems with existing product architecturesStay current with the rapidly evolving AI landscape and bring insights to the teamWhat we're looking for3+ years of software engineering experience1+ years of hands-on experience with LLM-based applicationsProficiency in Python and familiarity with TypeScriptExperience with at least one agent framework (LangChain, CrewAI, AutoGen)Understanding of vector databases, RAG patterns, and embedding modelsAbility to debug non-deterministic systems and build robust error handlingNice to haveExperience with enterprise AI deployments in regulated industriesBackground in NLP, computer vision, or traditional MLExperience with MLOps and model deployment pipelinesPublished work or open-source contributions in AI/MLWhat you getWork at the absolute frontier of applied AIBuild systems used by pharma, finance, and legal enterprisesDirect access to the latest models and toolingShape our AI practice from the ground upFlexible remote work with optional Kochi HQ access .
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.