Generative AI Engineer (Gen AI)

RIIM
Atlanta, US
On-site

Why this role

Pace
Fast Paced
Collaboration
Medium
Autonomy
High
Decision Impact
Team
Role Level
Individual Contributor

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • design-and-develop-enterprise-generative-ai-solutions
  • build-and-optimize-rag-pipelines
  • develop-agentic-ai-workflows
  • fine-tune-and-deploy-llms-for-business-use-cases
  • integrate-ai-models-with-enterprise-applications
Typical background
bachelor's-or-master's-degree-in-computer-science-ai-or-related-field8-10-years-of-software-engineering-experience

Transferable backgrounds

  • Coming from data-scientist
  • Coming from machine-learning-engineer
  • Coming from cloud-architect

Skills & requirements

Required

PythonLarge-language-modelsRetrieval-augmented-generationPrompt-engineeringScalable-ai-application-developmentCloud-platformsDockerKubernetesCi-cdMlopsSql-nosql-databasesAi-governanceSecurityResponsible-ai-practices

Preferred

Hugging-facePyTorchTensorFlowDspyLangsmithNeo4j-knowledge-graphs

Stack & domain

PythonJavaLlmsAgentic AiRagPrompt EngineeringRest ApisMicroservicesNLPTransformersEmbeddingsFine-tuningDockerKubernetesCI/CDMlopsSQLNoSQLAi GovernanceSecurityResponsible AiFastapiFlaskNode.jsAWSAzureGoogle Cloud PlatformLangchainLanggraphCrewaiAutogenLlamaindexPineconeFaissChromadbWeaviateMilvusHugging FacePyTorchTensorFlowDspyLangsmithNeo4j

About the role

Original posting from RIIM

*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))] dir=auto data-turn-id=request-WEB:0fda52b1-29ea-4a88-a19e-167fb555f60e-8 data-turn-id-container=request-WEB:0fda52b1-29ea-4a88-a19e-167fb555f60e-8 data-testid=conversation-turn-16 data-scroll-anchor=false data-turn=assistant>Job Summary

We are looking for an experienced Generative AI Engineer with 8–10 years of overall software engineering experience and strong expertise in Large Language Models (LLMs), Agentic AI, Retrieval-Augmented Generation (RAG), Prompt Engineering, and scalable AI application development. The candidate will design, develop, and deploy enterprise-grade Gen AI solutions using modern AI frameworks and cloud platforms.

Key Responsibilities

  • Design and develop enterprise Generative AI solutions using OpenAI, Claude, Gemini, Llama, Mistral, or Hugging Face models.
  • Build and optimize RAG pipelines using vector databases such as Pinecone, FAISS, ChromaDB, Weaviate, or Milvus.
  • Develop Agentic AI workflows using LangChain, LangGraph, CrewAI, AutoGen, or LlamaIndex.
  • Fine-tune, evaluate, and deploy LLMs for business use cases.
  • Integrate AI models with enterprise applications through APIs and microservices.
  • Develop scalable backend services using Python, FastAPI, Flask, or Node.js.
  • Implement prompt engineering, model evaluation, guardrails, and AI safety practices.
  • Work with structured and unstructured data pipelines for AI applications.
  • Deploy AI applications on AWS, Azure, or Google Cloud Platform environments.

Required Skills

  • Strong programming experience in Python OR Java.
  • Hands-on experience with LLMs and Generative AI frameworks.
  • Experience with:
  • LangChain / LangGraph
  • RAG Architecture
  • Prompt Engineering
  • REST APIs & Microservices
  • Knowledge of NLP, Transformers, embeddings, and fine-tuning concepts.
  • Experience with Docker, Kubernetes, CI/CD, and MLOps.
  • Strong cloud experience in AWS, Azure, or Google Cloud Platform.
  • Experience with SQL/NoSQL databases.
  • Understanding of AI governance, security, and responsible AI practices.

Education

  • Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field.

Nice-to-Have Technologies

  • Hugging Face
  • PyTorch / TensorFlow
  • DSPy
  • LangSmith
  • Neo4j Knowledge Graphs

Source: RIIM careers

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