Immediate need! GenAI Engineer, Alpharetta, GA (Locals or around)- Hybrid

< class="yivydp52e3513byivydp3d716577yivydp1e35f968yivMsoNormal">Job Role: Gen AI (Engineer or Lead)< class="yivydp52e3513byivydp3d716577yivydp1e35f968yivMsoNormal">Location: NY/ Alpharetta, GA/ Menlo Park, CA (3days Onsite)

Only two rounds - Final round F2F Interview

W2 Position!

About the Role:

We are seeking a Gen AI Engineer to build intelligent, scalable applications powered by large language models (LLMs). You will develop RAG solutions, AI agents, and Python-based services that solve real-world business problems while ensuring accuracy, reliability, security, and performance.

Key Responsibilities:

• Design, develop, and deploy LLM-powered applications using RAG architectures, embeddings, vector databases, and prompt engineering.
• Build AI agents capable of reasoning, planning, tool usage, and multi-step task execution.
• Create evaluation frameworks, guardrails, and monitoring processes to improve model quality and safety.
• Integrate commercial and open-source LLMs with internal systems, APIs, and enterprise data.
• Develop clean, maintainable Python code and production-ready services.
• Collaborate with product, data, and engineering teams to translate requirements into effective AI solutions.
• Troubleshoot, optimize, and continuously improve application performance.

Required Qualifications:

• Strong Python programming and software development skills.
• Practical experience with LLMs, RAG pipelines, embeddings, vector stores, and prompt engineering.
• Understanding of agent frameworks, function calling, APIs, and workflow orchestration.
• Familiarity with REST APIs, databases, Git, testing, and cloud platforms.
• Strong analytical, communication, and collaboration skills.

Desired Qualifications:

• Experience with LangChain, LlamaIndex, model evaluation, fine-tuning, and deployment workflows.

Nice-to-Have:

• Knowledge of MLOps, CI/CD, containerization, observability, and responsible AI practices.