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