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Gen AI Engineer at Innova software Services Inc Atlanta, GA

Innova software Services Inc

Atlanta · On-site Full-time 3w ago

About the role

Gen AI Engineer job at Innova software Services Inc. Atlanta, GA.

Role: Gen AI Engineer

Location: Atlanta, GA

Duration : 12 months contract

Job description:

Key Responsibilities • Design, develop, and optimize prompt engineering strategies for Large Language Models (LLMs) such as GPT, Claude, or similar models. • Build and deploy Generative AI applications including chatbots, content generation tools, and AI-powered assistants. • Develop and maintain AI pipelines using frameworks like LangChain, LlamaIndex, or similar. • Fine-tune and evaluate LLM models to improve performance, accuracy, and response quality. • Collaborate with data scientists, product managers, and engineering teams to deliver AI-powered solutions. • Implement retrieval-augmented generation (RAG) architectures to improve AI outputs using enterprise data. • Work on model evaluation, testing, and prompt optimization for scalability and reliability. • Integrate AI models with applications using APIs and cloud platforms. • Ensure responsible AI practices , including bias mitigation, safety, and compliance.

Required Skills • Strong experience with Generative AI and Prompt Engineering . • Hands-on experience with LLMs (OpenAI GPT, Anthropic Claude, Llama, etc.) . • Proficiency in Python and AI/ML libraries. • Experience with frameworks such as LangChain, LlamaIndex, or Semantic Kernel . • Understanding of Natural Language Processing (NLP) concepts. • Experience with RAG, vector databases, and embeddings (e.g., Pinecone, FAISS, Weaviate). • Experience integrating AI solutions using REST APIs and microservices architecture . • Familiarity with cloud platforms (AWS, Azure, or GCP) . • Strong problem-solving and analytical skills

Requirements

  • Strong experience with Generative AI and Prompt Engineering
  • Hands-on experience with LLMs (OpenAI GPT, Anthropic Claude, Llama, etc.)
  • Proficiency in Python and AI/ML libraries
  • Experience with frameworks such as LangChain, LlamaIndex, or Semantic Kernel
  • Understanding of Natural Language Processing (NLP) concepts
  • Experience with RAG, vector databases, and embeddings (e.g., Pinecone, FAISS, Weaviate)
  • Experience integrating AI solutions using REST APIs and microservices architecture
  • Familiarity with cloud platforms (AWS, Azure, or GCP)
  • Strong problem-solving and analytical skills

Responsibilities

  • Design, develop, and optimize prompt engineering strategies for Large Language Models (LLMs) such as GPT, Claude, or similar models
  • Build and deploy Generative AI applications including chatbots, content generation tools, and AI-powered assistants
  • Develop and maintain AI pipelines using frameworks like LangChain, LlamaIndex, or similar
  • Fine-tune and evaluate LLM models to improve performance, accuracy, and response quality
  • Collaborate with data scientists, product managers, and engineering teams to deliver AI-powered solutions
  • Implement retrieval-augmented generation (RAG) architectures to improve AI outputs using enterprise data
  • Work on model evaluation, testing, and prompt optimization for scalability and reliability
  • Integrate AI models with applications using APIs and cloud platforms
  • Ensure responsible AI practices , including bias mitigation, safety, and compliance

Skills

Generative AIPrompt EngineeringLLMsPythonAI/ML librariesLangChainLlamaIndexSemantic KernelNLPRAGvector databasesembeddingsREST APIsmicroservices architecturecloud platforms

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