AI Developer, AI Engineer – Agentic AI, LLM, Predictive Analytics
KATBOTZ®
full-time
Posted on:
Location Type: Remote
Location: United States
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About the role
- Develop and deploy Agentic AI systems using frameworks like LangChain, CrewAI, AutoGen, etc.
- Build applications using Large Language Models (OpenAI, Claude, Llama, etc.)
- Design and implement Predictive AI / Machine Learning models
- Develop AI chatbots, automation tools, and AI assistants
- Work on RAG (Retrieval Augmented Generation) systems
- Integrate AI solutions with web applications, CRMs, and enterprise systems
- Fine-tune and optimize LLM models
- Work with structured and unstructured data
- Deploy AI models on cloud platforms (AWS, Azure, GCP)
- Collaborate with business and product teams to identify AI use cases
Requirements
- 3–6 Years in AI/ML development OR 2+ Years specifically in LLM / Generative AI / Agentic AI
- Required Skills
- Python
- Machine Learning (Regression, Classification, Clustering)
- Predictive Modeling
- LLM APIs (OpenAI, Anthropic, HuggingFace)
- LangChain / CrewAI / AutoGen
- Vector Databases (Pinecone, Weaviate, FAISS, Chroma)
- RAG Architecture
- Prompt Engineering
- API Development
- Data Processing (Pandas, NumPy)
- Git / Version Control
- Preferred Skills
- Fine-tuning LLM models
- AI Agents / Multi-Agent Systems
- NLP (Natural Language Processing)
- MLOps
- Docker / Kubernetes
- Cloud AI Services
- Knowledge Graphs
- AI Automation Workflows
Benefits
- Equal Employment Opportunity
- Commitment to a discrimination-free work environment
- Fostering a culture of inclusivity, belonging and equal opportunity for all employees and applicants
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonMachine LearningPredictive ModelingLLM APIsLangChainCrewAIAutoGenData ProcessingNLPMLOps