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About the Company
We are seeking technically strong AI Engineers to support the development of AI-powered applications, agents, and automation solutions across internal and client-facing engagements.
About the Role
This is a hands-on engineering role focused on building and deploying production-ready AI solutions. We are looking for builders with strong technical depth in LLM integration, agent orchestration, workflow automation, and AI application development. This is not a strategy or advisory role — demonstrable build capability is essential.
Responsibilities
Qualifications
Required Skills
Preferred Skills
Job ID: 150587221
Skills:
telemetry , Cosmos DB, Python, Apis, Redis, vector search, tool calling, cloud-native delivery, Azure OpenAI, Azure AI Foundry, LangGraph, model evaluation, OpenTelemetry, Azure AI Search, observability, Functions Container Apps, LLMs, secrets management, context engineering, agent frameworks, Semantic Kernel, AutoGen, RAG, Microsoft Agent Framework, secure software development practices, system prompt design
Skills:
Git, Typescript, MLops, Python, orchestration frameworks, fine-tuning, LLMs, LLMOps, prompt engineering, RAG, agentic patterns, evals
Skills:
Apis, Oracle Ebs, Python, AI LLMs, on-prem ERP integration, RAG
Skills:
Cloud deployment, Elasticsearch, Python, Apis, Data Privacy, pgvector, RAG systems, Qdrant, Pinecone, OpenSearch, workflow automation, evaluation frameworks, Azure AI Search, Haystack, LangChain, CrewAI, AI safety, AI powered decision support tools, Semantic Kernel, AutoGen, document intelligence, LLM applications, AI agents, Weaviate, Flowise, LlamaIndex
Skills:
Python, FastAPI, Sql, Docker, Kubernetes, Gcp, AWS, Azure, LangChain, LangGraph, CrewAI, Autogen, AI Agent Development, RAG, Vector Databases, FAISS, Pinecone, ChromaDB, Milvus
We don’t charge any money for job offers
