10 часов назад
Senior Software Engineer (Conversational AI)
73 150 - 174 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Engineer (Conversational AI): Building and deploying conversational AI applications with an accent on LLMs, RAG pipelines, NLP, and cloud-native infrastructure. Focus on designing retrieval systems, evaluating and optimizing AI outputs, deploying workloads with AWS, Docker, and Kubernetes, and operating reliable production systems.
Location: Hybrid opportunity based in New Jersey, Atlanta, Chicago, or Dallas
Salary: $73,150–$174,000 base compensation per year
Company
is a global business and technology transformation partner delivering strategy, design, engineering, AI, cloud, data, and other technology services to organizations worldwide.
What you will do
- Design, develop, and deploy conversational AI applications using LLMs from OpenAI, Anthropic, Azure OpenAI, and Hugging Face.
- Build, optimize, and maintain RAG pipelines, vector-based retrieval systems, embeddings, and semantic search.
- Develop NLP applications for text parsing, classification, sentiment analysis, summarization, and text generation.
- Evaluate models, engineer prompts, conduct performance testing, and optimize AI outputs.
- Deploy and manage AI workloads on AWS using Docker, Kubernetes, and cloud-native architectures.
- Monitor, troubleshoot, govern, and improve AI systems in production while collaborating with stakeholders and technical teams.
Requirements
- 2–4 years of experience in software engineering, backend development, machine learning, NLP, or a related field.
- 1–2+ years of hands-on experience with LLM APIs and proven experience building and deploying RAG applications.
- Proficiency in Python and relevant AI/ML libraries and frameworks.
- Strong understanding of NLP, transformer architectures, prompt engineering, model evaluation, and AI application lifecycle management.
- Experience with vector databases, embeddings, semantic search, data preprocessing, augmentation, and synthetic data generation.
- Experience with AWS, Docker, Kubernetes, and collaboration with business stakeholders to define technical requirements.
Nice to have
- Experience with LangChain, LangGraph, LlamaIndex, Semantic Kernel, or similar AI orchestration frameworks.
- Experience deploying applications with MCP (Model Context Protocol).
- Familiarity with MLOps, CI/CD, model monitoring, observability, security, and AI governance.
- Experience with Pinecone, Weaviate, Chroma, Qdrant, or Azure AI Search.
Culture & Benefits
- Regular full-time employment with a comprehensive benefits package.
- Paid vacation, company holidays, personal days, and sick leave.
- Medical, dental, and vision coverage.
- Retirement savings plans, including 401(k) in the United States.
- Life and disability insurance and employee assistance programs.
- Additional variable compensation may be available depending on the position and applicable laws.
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