{"schemaVersion":"jobsearcher.job.v1","id":"8b47b06b66a71850e97608dd","url":"https://jobsearcher.com/jobs/8b47b06b66a71850e97608dd","canonicalUrl":"https://jobsearcher.com/jobs/8b47b06b66a71850e97608dd","title":"Python AI Engineer (Prompt & Agentic Systems)","description":"Job Title: Python AI Engineer (Prompt & Agentic Systems)\r\nLocation:Hybrid –Atlanta, GA (3 days/week onsite)\r\nAbout the Role\r\nWe're looking for a hands-on engineer who can build AI-enabled applications end-to-end using Python , with strong skills in prompt engineering and agentic system design (multi-agent/orchestrated AI workflows). You'll design, develop, and productionize intelligent features—ranging from retrieval-augmented generation (RAG) to autonomous tasking agents integrated with internal tools and APIs.\r\nKey Responsibilities\r\nDesign & Build AI Services: Develop Python-based back-end services that integrate LLMs for reasoning, extraction, summarization, and decision support.\r\nPrompt Engineering: Craft, version, and evaluate prompts/system instructions; design guardrails, test prompt variants, and optimize for reliability, latency, and cost.\r\nAgentic Systems: Architect and implement autonomous/multi-agent workflows —planning, tool-use, memory, error recovery, and human-in-the-loop controls.\r\nRAG Pipelines: Implement document ingestion, chunking, embeddings, vector search (semantic/re-ranking), and grounding strategies.\r\nEvaluation & Observability: Define metrics and build eval suites for quality (accuracy, factuality, safety), and establish tracing/telemetry for LLM calls.\r\nAPI & Tool Integrations: Enable agents to use tools (internal APIs, search, databases, workflow engines); handle auth, rate limits, and fallbacks.\r\nMLOps / AIOps: Package, containerize, and deploy services (Docker/K8s); manage keys, secrets, CI/CD; support canary rollouts and cost governance.\r\nSecurity & Compliance: Apply data privacy principles, PII handling, redaction, prompt injection defenses, and audit logging.\r\nCross-Functional Collaboration: Partner with product, data, and security teams to translate requirements into reliable AI features.\r\nRequired Qualifications\r\nStrong Python (typing, async, testing, packaging) and experience building production APIs/services (FastAPI/Flask).\r\nHands-on with LLMs (OpenAI, Azure OpenAI, Anthropic, etc.) and embedding/RAG workflows.\r\nProven prompt engineering experience (few-shot strategies, tool-use instructions, output schemas, function/tool calling).\r\nExperience with agent frameworks or custom agent orchestration (e.g., LangGraph/LangChain/AutoGen, or in-house equivalents).\r\nVector databases (e.g., FAISS, Chroma, Pinecone, Weaviate) and search relevance tuning.\r\nFamiliar with MLOps/DevOps : Docker, CI/CD, monitoring (Prometheus/Grafana), logging (OpenTelemetry), secrets management.\r\nTesting & Evals : unit/integration tests, offline evals, golden datasets, regression checks.\r\nPractical understanding of AI safety/guardrails (prompt injection, data leakage, jailbreak prevention).\r\nNice to Have\r\nExperience with Azure (or AWS/GCP) AI services, key vaults, and networking.\r\nKnowledge of Model Context Protocol (MCP) or tool-server patterns for secure tool access.\r\nExperience with retrievers (BM25, hybrid search), re-rankers , or LlamaIndex/LangChain .\r\nFamiliarity with streaming UIs and structured outputs (JSON, Pydantic schemas).\r\nBackground in LLM finetuning , RLHF/DPO , or synthetic data generation.\r\nFront-end basics for AI UX (React/Next.js) or chat UI patterns.\r\nDomain knowledge in HR/ATS, customer support, or internal enterprise workflows.\r\nJ-18808-Ljbffr","company":"Atexo","rawCompany":"atexo","city":"Atlanta","state":"GA","isRemote":false,"isActive":false,"createdAt":"2026-04-09T15:52:11.937Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Python AI Engineer (Prompt & Agentic Systems)","description":"Job Title: Python AI Engineer (Prompt & Agentic Systems)\r\nLocation:Hybrid –Atlanta, GA (3 days/week onsite)\r\nAbout the Role\r\nWe're looking for a hands-on engineer who can build AI-enabled applications end-to-end using Python , with strong skills in prompt engineering and agentic system design (multi-agent/orchestrated AI workflows). You'll design, develop, and productionize intelligent features—ranging from retrieval-augmented generation (RAG) to autonomous tasking agents integrated with internal tools and APIs.\r\nKey Responsibilities\r\nDesign & Build AI Services: Develop Python-based back-end services that integrate LLMs for reasoning, extraction, summarization, and decision support.\r\nPrompt Engineering: Craft, version, and evaluate prompts/system instructions; design guardrails, test prompt variants, and optimize for reliability, latency, and cost.\r\nAgentic Systems: Architect and implement autonomous/multi-agent workflows —planning, tool-use, memory, error recovery, and human-in-the-loop controls.\r\nRAG Pipelines: Implement document ingestion, chunking, embeddings, vector search (semantic/re-ranking), and grounding strategies.\r\nEvaluation & Observability: Define metrics and build eval suites for quality (accuracy, factuality, safety), and establish tracing/telemetry for LLM calls.\r\nAPI & Tool Integrations: Enable agents to use tools (internal APIs, search, databases, workflow engines); handle auth, rate limits, and fallbacks.\r\nMLOps / AIOps: Package, containerize, and deploy services (Docker/K8s); manage keys, secrets, CI/CD; support canary rollouts and cost governance.\r\nSecurity & Compliance: Apply data privacy principles, PII handling, redaction, prompt injection defenses, and audit logging.\r\nCross-Functional Collaboration: Partner with product, data, and security teams to translate requirements into reliable AI features.\r\nRequired Qualifications\r\nStrong Python (typing, async, testing, packaging) and experience building production APIs/services (FastAPI/Flask).\r\nHands-on with LLMs (OpenAI, Azure OpenAI, Anthropic, etc.) and embedding/RAG workflows.\r\nProven prompt engineering experience (few-shot strategies, tool-use instructions, output schemas, function/tool calling).\r\nExperience with agent frameworks or custom agent orchestration (e.g., LangGraph/LangChain/AutoGen, or in-house equivalents).\r\nVector databases (e.g., FAISS, Chroma, Pinecone, Weaviate) and search relevance tuning.\r\nFamiliar with MLOps/DevOps : Docker, CI/CD, monitoring (Prometheus/Grafana), logging (OpenTelemetry), secrets management.\r\nTesting & Evals : unit/integration tests, offline evals, golden datasets, regression checks.\r\nPractical understanding of AI safety/guardrails (prompt injection, data leakage, jailbreak prevention).\r\nNice to Have\r\nExperience with Azure (or AWS/GCP) AI services, key vaults, and networking.\r\nKnowledge of Model Context Protocol (MCP) or tool-server patterns for secure tool access.\r\nExperience with retrievers (BM25, hybrid search), re-rankers , or LlamaIndex/LangChain .\r\nFamiliarity with streaming UIs and structured outputs (JSON, Pydantic schemas).\r\nBackground in LLM finetuning , RLHF/DPO , or synthetic data generation.\r\nFront-end basics for AI UX (React/Next.js) or chat UI patterns.\r\nDomain knowledge in HR/ATS, customer support, or internal enterprise workflows.\r\nJ-18808-Ljbffr","datePosted":"2026-04-09T15:52:11.937Z","dateModified":"2026-04-09T15:52:11.937Z","hiringOrganization":{"@type":"Organization","name":"Atexo","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Atlanta","addressRegion":"GA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"8b47b06b66a71850e97608dd"},"url":"https://jobsearcher.com/jobs/8b47b06b66a71850e97608dd"}}