Artificial Intelligence Engineer
Job Description
Agentic AI Engineer / Applied AI Engineer
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Job Description
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We are seeking a highly skilled **Agentic AI Engineer / Applied AI Engineer** to design, build, and deploy production-grade AI systems that go beyond conversational experiences and execute complex business workflows autonomously.
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The ideal candidate will have strong experience in **LLM-based agents, Retrieval-Augmented Generation (RAG), multi-agent systems, AI automation, backend engineering, and full-stack AI product development**. This role requires the ability to translate complex user intent into reliable, scalable, and observable automated actions.
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Key Responsibilities
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* Design and architect **production-grade Agentic AI systems** capable of reasoning, planning, decision-making, and executing business workflows.
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* Build **LLM-powered agents and multi-agent workflows** using modern AI frameworks and orchestration patterns.
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* Develop scalable **RAG pipelines**, including document ingestion, embedding, vector search, retrieval, ranking, and contextual generation.
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* Integrate LLMs with enterprise systems through **backend APIs, tools, function calling, and event-driven architectures**.
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* Build AI applications using **OpenAI and other foundation models**, optimizing prompts, agent behavior, context management, and tool usage.
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* Develop reliable AI systems incorporating **memory, evaluation, observability, guardrails, security, and human-in-the-loop workflows**.
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* Architect and develop backend services using **Python and FastAPI**.
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* Build full-stack AI products and internal platforms using **React and TypeScript**.
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* Design event-driven and asynchronous workflows capable of supporting autonomous AI agents at scale.
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* Implement semantic and vector search solutions using technologies such as **Pinecone and FAISS**.
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* Develop AI/ML systems for areas including **fraud detection, risk scoring, anomaly detection, compliance automation, and intelligent business operations**.
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* Establish evaluation frameworks and monitoring systems to measure **agent accuracy, reliability, latency, cost, and production performance**.
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* Deploy and operate AI applications using **AWS, Docker, Kubernetes, and modern MLOps practices**.
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* Collaborate with product, engineering, data, and business teams to identify opportunities for **AI-driven automation and intelligent workflows**.
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Required Technical Skills
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* **Python**
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* **OpenAI / LLM APIs**
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* **LangChain**
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* **LangGraph**
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* **LangSmith**
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* **RAG architectures**
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* **Vector databases and semantic search**
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* **Pinecone / FAISS**
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* **FastAPI**
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* **REST APIs and backend development**
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* **React / TypeScript**
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* **PostgreSQL**
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* **Redis**
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* **AWS**
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* **Docker**
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* **Kubernetes**
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* **MLflow**
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* AI/ML evaluation and observability
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* Agent orchestration and tool/function calling
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* Event-driven architectures and workflow automation
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Preferred Experience
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* Experience building **Agentic AI platforms or autonomous AI workflows** in production.
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* Experience with **financial services, fraud detection, risk management, compliance, or enterprise automation**.
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* Strong understanding of **LLM reasoning, retrieval, memory, planning, tool use, and agent evaluation**.
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* Experience taking AI products from **prototype/MVP through production deployment and ongoing optimization**.
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* Experience building scalable, secure, and reliable **enterprise AI applications**.
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Target Roles
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This position is suited for professionals working in or transitioning toward:
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* **Agentic AI Engineering**
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* **Applied AI Engineering**
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* **LLM Engineering**
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* **AI Automation Engineering**
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* **Forward Deployed AI Engineering**
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* **RAG Engineering**
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* **AI Platform Engineering**
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* **Full-Stack AI Product Engineering**
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Ideal Candidate Profile
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The ideal candidate combines **AI/ML expertise with strong software engineering and product development skills**. You should be comfortable moving from an AI architecture concept to a working production system, building the underlying APIs and infrastructure, integrating LLMs and retrieval systems, and implementing the monitoring and guardrails necessary to make autonomous AI reliable in real-world enterprise environments.
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U.S citizenship or Green Card Required
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Rate: $70.00