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Job Description We’re looking for a teammate with: The ideal candidate will have hands-on experience building and shipping agentic AI systems, with deep proficiency in Python and the modern AI engineering stack: • Python Expertise: Python is your primary language. You write clean, production-grade code, build robust data pipelines, and are comfortable owning the full lifecycle from prototype to deployment. • Agentic Frameworks: Practical experience with LangGraph, LangChain, AgentCore, or comparable multi-agent orchestration frameworks — including agent routing, state management, tool use, memory, and evaluation. • LLM Integration: Demonstrated experience integrating large language models via AWS Bedrock, Anthropic APIs, or similar — including prompt engineering, context management, and output validation. • Data Source Integrations: Hands-on experience connecting applications to modern data platforms including Snowflake, Apache Iceberg, OpenSearch, or similar. • MCP / Tool-Use Patterns: Familiarity with Model Context Protocol (MCP) or equivalent patterns for giving agents structured, governed access to external data systems. • API Development: Experience building production REST APIs using FastAPI or comparable Python frameworks. • Cloud Platforms: Hands-on AWS experience, with Bedrock exposure strongly preferred. Familiarity with IAM, Lambda, and API Gateway a plus. Job Responsibilitie sHere’s how you’ll be making an impact :• Build Multi-Agent Pipelines: Design and implement orchestrated multi-agent system susing LangGraph and AgentCore, including routing logic, evaluation loops, retr ymechanisms, and agent specialization patterns .• Develop with LangChain: Leverage LangChain to build sophisticated prompt pipelines ,tool-augmented agents, memory constructs, and retrieval-augmented generatio nworkflows .• Integrate Across the Data Ecosystem: Build reliable, performant Python integration sconnecting agents to client Cloud Analytics, Snowflake, Apach eIceberg, OpenSearch, and other data sources via MCP and direct API patterns .• Deploy on AWS Bedrock: Leverage AWS Bedrock to host, invoke, and manag eLLM-powered agents at scale, ensuring reliability, cost efficiency, and securit ycompliance .• Build FastAPI Services: Develop lightweight, production-ready API services tha texpose agentic capabilities to downstream consumers and orchestration platforms .• Iterate Rapidly: Operate in a fast-moving incubator environment — prototype quickly ,instrument your work, and evolve solutions based on real usage signals .• Collaborate Cross-Functionally: Partner closely with Customer Success, Sales, an dAnalytics stakeholders to translate business requirements into agentic architectures .
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.