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Job Title: AI/ML Engineer Job Type: Full-Time Job Summary: Join our team as a AI/ML Engineer and play a pivotal role in driving mission-critical government initiatives while also contributing to micro1’s proprietary AI infrastructure, you’ll harness advanced large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent orchestration to deliver secure, scalable, and impactful machine learning systems. You’ll work closely with cross-functional experts, leveraging frontier AI platforms and the latest in agentic AI tooling. Key Responsibilities: Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications. Develop and orchestrate multi-agent systems using frameworks such as LangGraph and LangChain. Integrate and deploy solutions on secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock. Build robust data pipelines, manage ETL processes, and develop metadata catalogs and ontologies to ensure high-quality data for AI training and inference. Create and maintain REST APIs and SDK integrations to facilitate seamless data and model interactions. Collaborate with product, security, and engineering teams to ensure best-in-class delivery, following secure coding and DevOps best practices (CI/CD). Document technical decisions and communicate complex concepts clearly to both technical and non-technical stakeholders. Required Skills and Qualifications: Proficiency in Python for AI/ML development, including experience with REST APIs and SDK integration. Hands-on experience with LLMs, RAG systems, and prompt engineering in production environments. Familiarity with multi-agent orchestration, tool use, and frameworks like LangGraph and LangChain. Deep understanding of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock). Background in building and maintaining data pipelines, ontologies, metadata catalogs, and ETL processes. Strong grasp of secure coding and modern DevOps practices (CI/CD pipelines). Exceptional written and verbal communication skills for effective collaboration and documentation. Preferred Qualifications: Experience with AI/agentic platforms, such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise. Knowledge of metadata catalog platforms (MCP) and advanced API development techniques. Prior exposure to government or highly regulated cloud environments and compliance standards.
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.