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About Position:
This role is for an experienced AI/GenAI Full Stack Engineer with strong expertise in Python, AWS AI/ML services, API development, microservices architecture, and modern frontend technologies. The candidate will build scalable AI-powered applications leveraging LLMs, agentic AI frameworks, deep learning, and chatbot solutions, while contributing across both backend and frontend development.
What You'll Do:
Expertise You'll Bring:
Benefits:
Values-Driven, People-Centric & Inclusive Work Environment:
Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.
Let's unleash your full potential at Persistent - persistent.com/careers
Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.
Job ID: 151778223
Skills:
MLops, Python, AI engineering, cloud-based deployments, vector databases
Skills:
Agile Methodology, Unit Testing, API design, Seaborn, Numpy, Distributed Systems, Python, Pandas, Matplotlib, Google Gemini, ML concepts, Claude, LangGraph, MCP integrations, multi-agent system design, CrewAI, LangChain, Generative AI, Plotly, Claude Code, OpenAI Codex, Anthropic, prompt engineering, AutoGen, GitHub Copilot, Agentic AI, test-driven development, OpenAI
Skills:
CSS, Node.JS, HTML, Redis, Devops, Javascript, Postgres, Azure, Python, Cosmos, Lang-Chain, CI CD, Lang-Graph
Skills:
Numpy, Sql, Natural Language Processing, Openshift, Python, Docker, Micro Services, Flask, Google Cloud Platform, Pandas, Project Jupyter
Skills:
Python, multimodal models, hallucination mitigation techniques, LLMs, OpenAI, LlamaIndex, fine-tuning workflows, fine-tuning techniques, PEFT, Haystack, LoRA, LangChain, CI CD pipelines, Mistral, Generative AI models, instruction tuning, RAG pipelines, MLOps tools, guardrails, data pipelines, LLaMA, Anthropic, safety mechanisms, model monitoring, prompt engineering