Langchain

60 Langchain Full Time Jobs Hiring Near You

Fulltime Location: Dallas TX (Onsite) Skills & Qualifications: * 12+ years of experience in ... Hands-on experience with agent frameworks such as AutoGen, CrewAI, LangGraph, and LangChain ...

Santa Clara, CA (Onsite) Employment Type: Full-Time Visa Type: Not Specified Must-Have ... Hands-on experience with LangGraph, LangChain, Large Language Models (LLMs), and prompt engineering.

Charlotte, NC (onsite) Job Type: Full time Must Have Technical/Functional Skills o Bachelors or ... the Langchain framework o Experience specifically with the Open AI API, chat completions ...

Showing results 21-40

Agentic AI Architect

Photon

Dallas, TX • On-site

Other

Posted 9 days ago


Job description

Role: Agentic AI Architect
Duration: Fulltime
Location: Dallas TX (Onsite)
Skills & Qualifications:
  • 12+ years of experience in software engineering with strong expertise in Python and backend system development
  • Extensive experience in designing scalable, secure, multi-tenant AI/ML platforms
  • Deep expertise in LLMs (OpenAI, Gemini, Anthropic, Llama) and agentic AI systems
  • Hands-on experience with agent frameworks such as AutoGen, CrewAI, LangGraph, and LangChain ecosystem (LangChain, LangSmith, LangFlow)
  • Strong experience building RAG-based systems and working with vector databases
  • Proficiency in Python ecosystem including PyTorch, Scikit-learn, LlamaIndex, and evaluation tools like DeepEval
  • Deep understanding of LLM concepts (prompt engineering, fine-tuning, function/tool calling, RAG)
  • Strong experience in microservices architecture, REST APIs, and event-driven systems
  • Expertise in relational (PostgreSQL, MySQL) and NoSQL databases (MongoDB, Redis)
  • Experience with cloud platforms (AWS, Azure, Google Cloud Platform) and cloud-native architectures
  • Familiarity with Docker, Kubernetes, and modern DevOps practices
  • Experience with CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions)
  • Strong exposure to observability tools for logging, monitoring, and tracing AI systems
  • Strong understanding of system design, scalability, and engineering best practices
  • Proven ability to lead architectural discussions, mentor teams, and engage with stakeholders and clients