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About Position:
7+ years overall experience, with 2+ years in GenAI / LLM-based solutions GenAI Engineer with strong experience in multi-agent orchestration, LLMs (OpenAI, Anthropic, open-source models like LLaMA, Mistral, etc), Streamlit and enterprise-grade AI solutions. Hands-on expertise with Python, agentic frameworks like LangChain, LangGraph, Crew and vector databases. Develop and maintain prompt libraries, system prompts, reusable templates, evaluation prompts, and domain-specific instructions.
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 is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.
Job ID: 147192783
Skills:
Gcp, Sql, Python, CrewAI, LangChain, reasoning chains, AutoGen, AI orchestration frameworks, LLM prompt engineering, tool calling patterns
Skills:
Numpy, Django, Git, Pandas, Gcp, Docker, Flask, FastAPI, Azure, Python, AWS, CrewAI, embeddings, Agentic AI frameworks, LLMs, HuggingFace, vector databases, LangChain Agents, LangGraph, AutoGen, GenAI applications, OpenAI APIs, RAG
Skills:
Streaming, Docker, FastAPI, Python, Access Control, Qdrant, Async programming, Batching, RAG Engineering, Caching, Audit trails, CI CD, OpenSearch, PII handling, LangGraph, Document parsing, Weaviate, ETL pipelines
Skills:
Machine Learning, Linux, Image Processing, Sql, Python, computational linguistics
Skills:
Microservices, Kubernetes, Python, Helm, Docker, structured outputs, orchestration systems, tool calling, release packaging, agent frameworks, AI applications, LLM design patterns, OpenAI Agents SDK, Agentic AI workflows, LangChain, Reasoning, CI CD pipelines, prompt engineering, LLM-powered AI applications, LangGraph, end-to-end software lifecycle
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