Atem Corp
Required Qualifications
7 years in software engineering or applied ML building real-world AI / ML systems; strong Python proficiency and backend development expertise.
Hands‑on experience building GenAI apps with LangChain and LangGraph including agent design state / memory management and graph‑based orchestration.
Proficiency in ML / NLP and generative models; experience with embeddings vector stores RAG and LLM integration / fine‑tuning (OpenAI LLaMA Cohere etc.)
Strong coding in Python and experience with frameworks / tools such as FastAPI PyTorch / TensorFlow MLflow; solid understanding of software engineering fundamentals and secure development.
Experience with AI agent frameworks and MCP; familiarity with agent observability (LangSmith / LangFuse) and agentic RAG patterns
Track record of delivering scalable production AI systems and collaborating across teams.
Experience with agent frameworks (AutoGen CrewAI) tool‑use ecosystems and advanced planning / reasoning strategies
Knowledge of cloud platforms (AWS) MLOps and data pipelines; familiarity is a plus.
Exposure to enterprise environments and secure compliant deployments
Key Skills
Programming : Python; backend APIs (FastAPI)
AI / ML : ML / NLP generative AI embeddings model evaluation
Frameworks : LangChain LangGraph; plus LlamaIndex PyTorch TensorFlow MLflow
Architectures : RAG Transformers OCR
Agents : Design and orchestration memory / state management tool integration; MCP and agent‑to‑agent protocols
Observability : LangSmith / LangFuse for agent monitoring
Employment Type: Full Time
Vacancy: 1
#J-18808-Ljbffr
Hands‑on experience building GenAI apps with LangChain and LangGraph including agent design state / memory management and graph‑based orchestration.
Proficiency in ML / NLP and generative models; experience with embeddings vector stores RAG and LLM integration / fine‑tuning (OpenAI LLaMA Cohere etc.)
Strong coding in Python and experience with frameworks / tools such as FastAPI PyTorch / TensorFlow MLflow; solid understanding of software engineering fundamentals and secure development.
Experience with AI agent frameworks and MCP; familiarity with agent observability (LangSmith / LangFuse) and agentic RAG patterns
Track record of delivering scalable production AI systems and collaborating across teams.
Experience with agent frameworks (AutoGen CrewAI) tool‑use ecosystems and advanced planning / reasoning strategies
Knowledge of cloud platforms (AWS) MLOps and data pipelines; familiarity is a plus.
Exposure to enterprise environments and secure compliant deployments
Key Skills
Programming : Python; backend APIs (FastAPI)
AI / ML : ML / NLP generative AI embeddings model evaluation
Frameworks : LangChain LangGraph; plus LlamaIndex PyTorch TensorFlow MLflow
Architectures : RAG Transformers OCR
Agents : Design and orchestration memory / state management tool integration; MCP and agent‑to‑agent protocols
Observability : LangSmith / LangFuse for agent monitoring
Employment Type: Full Time
Vacancy: 1
#J-18808-Ljbffr