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Locations: Bangalore & Kochi, India Company: Fospe Software Private Limited Department: AI Product Engineering Fospe is seeking a highly skilled LLM Engineer to build, optimize, and deploy next-generation AI applications powered by Large Language Models (LLMs). This role focuses on AI agents, RAG systems, prompt engineering, model optimization, and enterprise AI solutions. Role Overview As an LLM Engineer, you will design and develop AI-powered products using Anthropic Claude, OpenAI, Gemini, and open-source LLMs. You will work on AI agents, enterprise automation, knowledge systems, and advanced AI workflows. Key Responsibilities LLM Development Design and implement LLM-powered applications. Build AI assistants, AI agents, and conversational systems. Integrate Anthropic Claude, OpenAI, Gemini, and open-source models. Develop advanced prompt engineering strategies. RAG & Knowledge Systems Build Retrieval-Augmented Generation (RAG) architectures. Implement vector search and semantic retrieval solutions. Design enterprise knowledge bases and AI search systems. Optimize retrieval accuracy and response quality. AI Agent Engineering Develop autonomous and multi-agent systems. Implement tool calling, memory, planning, and reasoning capabilities. Build AI employees for sales, customer service, onboarding, and operations. Integrate AI agents with external APIs and enterprise applications. Model Optimization Optimize token consumption and inference costs. Implement model selection and routing strategies. Improve latency, scalability, and reliability. Monitor AI performance and production metrics. Backend & Integration Develop AI services using Python. Build REST APIs and AI microservices. Integrate AI systems with web, mobile, and enterprise platforms. Collaborate with product and engineering teams on deployment. Required Skills Strong Python development experience Experience with Anthropic Claude API and/or OpenAI API Prompt Engineering RAG Architecture Vector Databases (Pinecone, Qdrant, Weaviate, Chroma) API Development Git & GitHub Strong problem-solving skills Preferred Skills LangGraph LangChain CrewAI AutoGen MCP (Model Context Protocol) Docker & Kubernetes AWS, Azure, or GCP AI Evaluation Frameworks Fine-tuning and model customization Workflow Automation Platforms What Youll Build AI Agents & AI Employees Enterprise Knowledge Systems AI-Powered SaaS Products Customer Support Agents AI Sales Agents Research & Analysis Assistants Workflow Automation Platforms Multi-Agent Business Systems Ideal Candidate 2+ years of software engineering experience. Experience building production AI applications. Strong understanding of modern LLM architectures and AI workflows. Passion for AI innovation and problem-solving. Ability to convert business requirements into scalable AI solutions. What We Offer Competitive salary package Opportunity to work on cutting-edge AI technologies Global customer exposure Career growth in AI Product Engineering Versatile and innovation-driven work environment .
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.