Biogensys
We are hiring a
AI/ML Engineer
for one of our clients. Job Description
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; React.js 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 Additional Information
London/NY time zone hours/Canada(Remote) About Us
We are specialized in recruiting and deliver the best professional talent of industry and we are committed to deliver best experience for our clients and job seekers. With over two decades of experience in the recruitment industry, we proudly help you to find the next job that matches your professional skills.
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AI/ML Engineer
for one of our clients. Job Description
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; React.js 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 Additional Information
London/NY time zone hours/Canada(Remote) About Us
We are specialized in recruiting and deliver the best professional talent of industry and we are committed to deliver best experience for our clients and job seekers. With over two decades of experience in the recruitment industry, we proudly help you to find the next job that matches your professional skills.
#J-18808-Ljbffr