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Job Description AI Engineer (Agentic AI)Experience: 48 Years About the RolePrismforce is looking for an AI Engineer (Agentic AI) to build next-generation AI solutions that power intelligent talent acquisition and skills intelligence. You will design autonomous AI agents, develop LLM-powered applications, and build scalable AI systems that automate complex enterprise workflows. Key ResponsibilitiesDesign and develop autonomous AI agents and multi-agent workflows.Build LLM-powered applications using prompt engineering, function calling, and structured outputs.Develop Retrieval-Augmented Generation (RAG) pipelines using enterprise knowledge bases.Build AI solutions for candidate matching, resume understanding, skills extraction, job understanding, and intelligent recommendations.Develop semantic search, embeddings, and knowledge graph-based solutions.Optimize AI models for accuracy, latency, scalability, and cost.Collaborate with Product and Engineering teams to deploy production-grade AI applications.Required SkillsStrong proficiency in Python.Experience with LLMs, Agentic AI, RAG, Prompt Engineering, NLP, and Embeddings.Hands-on experience with frameworks such as LangGraph, LangChain, LlamaIndex, CrewAI, AutoGen, or similar.Experience with vector databases like Pinecone, Weaviate, Milvus, Qdrant, or FAISS.Familiarity with FastAPI, REST APIs, Docker, Kubernetes, Git, and cloud platforms (AWS, Azure, or GCP).Experience deploying AI applications in production environments.Preferred QualificationsExperience in HRTech, SaaS, or enterprise AI products.Exposure to knowledge graphs, MLOps, AI evaluation frameworks, and Responsible AI practices.Familiarity with MCP (Model Context Protocol) and modern AI orchestration frameworks is a plus.Why Join Prismforce Be part of a team building cutting-edge AI solutions that are transforming how enterprises discover, assess, hire, and develop technology talent. .
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.