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About the Job About Aligned Automation At Aligned Automation, we live by our "Better Together" philosophy to build a better world. As a strategic service provider to Fortune 500 companies, we help digitize enterprise operations and drive impactful business strategies. Our purpose goes beyond projectswe strive to deliver meaningful, sustainable change that shapes a more optimistic and equitable future. Our culture is deeply rooted in our 4CsCare, Courage, Curiosity, and Collaborationensuring that each employee is empowered to grow, innovate, and thrive in an inclusive workplace. Role: Sr. AI Engineer Years of Experience: 8 to 10 Years About the Role Design, develop, and deploy GenAI and Agentic AI solutions for enterprise-scale applications. Build multi-agent workflows using frameworks such as LangGraph, LangChain, CrewAI, or similar. Develop and optimize RAG-based systems leveraging Vector Databases and enterprise knowledge sources. Create scalable APIs and microservices using Python and FastAPI. Implement LLM orchestration, prompt engineering, evaluation frameworks, and observability solutions. Integrate AI solutions with enterprise applications, workflows, and data platforms. Work closely with business stakeholders to translate use cases into production-ready AI systems. Ensure adherence to enterprise SDLC, security, governance, and deployment standards. Required Skills: Strong programming skills in Python. Hands-on experience with GenAI, LLMs, and Agentic AI frameworks. Experience with RAG, Vector Databases, embedding, and semantic search. Knowledge of LangChain, LangGraph, CrewAI, AutoGen, MCP, or similar frameworks. Experience building REST APIs using FastAPI or Flask. Strong understanding of system design, software engineering, and cloud-native architectures. Familiarity with evaluation, monitoring, and observability of AI systems. Excellent problem-solving and communication skills. .
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.