2 дня назад
GenAI / Agentic AI Developer
100 000 - 150 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
GenAI / Agentic AI Developer (Python/LLMs/RAG): Designing, building, and deploying enterprise-grade GenAI applications with an accent on multi-agent orchestration, retrieval pipelines, and cloud-native AI services. Focus on moving AI solutions from proof of concept to production, implementing LLMOps, and ensuring scalability, security, reliability, and measurable business outcomes.
Location: New York, United States
Salary: $100,000–$150,000 gross annual base salary for full-time employment
Company
delivers enterprise technology and consulting solutions, including cloud-native artificial intelligence applications.
What you will do
- Design, develop, and deploy GenAI solutions using LLMs, RAG, tool calling, and agent-based architectures.
- Build and orchestrate multi-agent workflows with planning, retrieval, execution, validation, and human-in-the-loop patterns.
- Develop Python backend services and REST APIs with FastAPI, Flask, and microservices.
- Implement document ingestion, embedding generation, vector indexing, reranking, and retrieval pipelines.
- Integrate AI applications with enterprise systems, databases, document repositories, APIs, and cloud services.
- Deploy, monitor, and optimize production AI applications using Docker, Kubernetes, CI/CD, and LLMOps practices.
Requirements
- Must be authorized to work in the United States without current or future employer sponsorship.
- Visa sponsorship is not available; candidates requiring H-1B, OPT, CPT, F-1, TN, E-3, L-1, or similar sponsorship are not eligible.
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field, or equivalent professional experience.
- 5+ years of hands-on Python development experience and experience building enterprise GenAI or Agentic AI applications.
- Practical experience with an agent orchestration framework such as LangGraph, LangChain, AutoGen, CrewAI, Semantic Kernel, or LlamaIndex.
- Strong knowledge of RAG, embeddings, prompt engineering, semantic search, vector databases, REST APIs, Docker, Kubernetes, and CI/CD.
Nice to have
- Experience designing multi-agent systems with tool calling, memory management, autonomous planning, reflection, and evaluation.
- Exposure to MCP, GraphRAG, Neo4j, knowledge graphs, entity extraction, and LLMOps tools.
- Experience with Azure AI Foundry, Azure OpenAI, AWS Bedrock, AWS SageMaker, or GCP Vertex AI.
- Knowledge of AI governance, responsible AI, guardrails, prompt injection prevention, PII masking, and access controls.
Culture & Benefits
- Full-time employment with gross annual base pay of $100,000–$150,000.
- Bonuses, incentives, and benefits are discussed during the recruitment process.
- Additional experience or qualifications may result in a higher offer based on objective, gender-neutral criteria.
- Salary history is not requested during the hiring process.
Hiring process
- Candidates must explain at least one end-to-end GenAI or Agentic AI implementation.
- The discussion should cover the business problem, architecture, models, frameworks, orchestration, RAG and vector search, deployment, evaluation, monitoring, and measurable outcomes.
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