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About Position:
We are looking for a passionate and innovative Software Engineer - Generative AI to join our Research & Innovation (R&I) team. In this role, you will help design and build next-generation Agentic AI frameworks, AI-powered applications, intelligent assistants, and rapid prototypes that address real-world business challenges. You will work at the forefront of AI innovation, leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and cloud-native technologies to transform ideas into scalable and impactful solutions. This is an exciting opportunity for engineers who enjoy experimentation, rapid prototyping, and building cutting-edge AI solutions from concept to production.
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: 152248753
Skills:
snowflake , Databricks, LangGraph, Agentic AI, AWS Bedrock, IQ Gemini Enterprise, LLMs, Langfuse, Vertex AI, MLflow, Microsoft Foundry Fabric
Skills:
Google Cloud, Azure, AWS, Anthropic Claude, CrewAI, LangChain, knowledge retrieval frameworks, LLMs, vector databases, Azure OpenAI, Semantic Kernel, prompt engineering, LangGraph, AutoGen, Generative AI solutions, Mistral, Llama, foundation models, OpenAI, Gemini
Skills:
data engineering , Java, Kafka, Rest Apis, Kotlin, Gcp, Spring Boot, Microservices, Apache Spark, AWS, Oracle, App Engine, Team City, Azure, Jenkins, Oauth2, Drools, Transactional Database, Agentic AI frameworks, GKE, LangChain, RAG, CrewAI, Big Query, Cloud Run, GitHub Actions, Google ADK, Event-Driven Architecture
Skills:
Python, data pipelines, hallucination mitigation techniques, Mistral, MLOps tools, guardrails, RAG pipelines, fine-tuning techniques, Generative AI models, safety mechanisms, fine-tuning workflows, model monitoring, Haystack, LangChain, PEFT, instruction tuning, LLaMA, LLMs, Anthropic, prompt engineering, CI CD pipelines, LoRA, OpenAI, GenAI frameworks, LlamaIndex, multimodal models
Skills:
data engineering , Machine Learning, Azure ML, Microsoft Azure, latency analysis, LLM evaluation guardrails, multi-vector indexing, Azure OpenAI, prompt engineering, Semantic Kernel, AutoGen, LangGraph, RAG Retrieval-Augmented Generation, semantic chunking, cross-encoder re-ranking, embedding, Multi-Agent Systems, GenAI solutions, Llamaindex, Statistics, Azure AI ecosystem, RAG pipelines, throughput optimization