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AI & Automation Engineer Intern Role Title: AI & Automation Engineer Intern (Remote) Company: Cosmos AI Location: Remote (Pan-India / Gujarat) Duration: 6 Months Stipend: Up to 5,000 / month (Tiered & Performance-Based) + Official LoR & Perks About Cosmos AI At Cosmos AI, we build high-efficiency agentic workflows, multi-agent orchestration systems, and automated enterprise AI pipelines. We move fast, build real production systems, and cut out unnecessary corporate fluff. You won't be making PPTs or writing basic blog posts hereyou will be working directly alongside a Principal AI Architect to build, test, and ship production-grade AI systems. Key Responsibilities Build & Deploy Agents: Help design, test, and optimize multi-agent workflows using frameworks like LangChain, LangGraph, and custom Python scripts. Model Testing & Evaluation: Test LLM outputs for accuracy, hallucination, and edge cases across cloud and local open-weight models. API Integration & Automation: Connect AI systems to webhooks, CRMs, database pipelines, and communication APIs. Data Prep & Fine-Tuning Support: Assist in cleaning datasets, structuring JSON/RAG inputs, and prompt engineering for client-facing AI systems. Execution Monitoring: Monitor live logs, track performance metrics, and troubleshoot broken API integrations or logic loops. What We Are Looking For (Skills Required) Core Programming: Strong foundation in Python (handling JSONs, API requests, string manipulations, async functions). Generative AI Fundamentals: Basic understanding of how LLMs work, prompt engineering techniques, and API usage (OpenAI, Anthropic, or open-source local models). Tools & Environment: Familiarity with Git/GitHub, Linux/Terminal basics, and API tools (Postman, cURL, or VS Code). Mindset: Extreme speed of execution, curiosity to tinker with open-source AI tools, and a "get things done" attitude. (Bonus Points): Experience with LangChain, LlamaIndex, Ollama, vector databases, or web scraping. What You Get Out Of This Production-Grade Portfolio: Real-world agentic code and architectural experience to put directly on your GitHub and resume. Direct Mentorship: 1-on-1 guidance on modern AI stacks, vibe-coding setups, and agentic framework engineering. Letter of Recommendation (LoR): Verified official performance-backed LoR on Cosmos AI letterhead upon successful completion. Growth Ladder: Top performers in the learning tier will be fast-tracked into core paid positions and client-project bonuses. .
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.