Threat Research Engineer (AI/ML), Sangli

Job Title - Threat Research Engineer Job Location - Pune, Maharashtra MUST Have Skills - Python coding, Technical research, Threat Detection, Virus Patterns, Virus Detection Our client is looking for a highly analytical and hands-on Threat Research Engineer to help build their next-generation AI-driven Agent Observability + Trust Platform.In this role, you will work on identifying and analyzing behavioral patterns across various types of AI agents using machine learning, telemetry analysis, and experimental pipelines. You will help design and operate research environments that ingest agent logs, execution traces, prompts, metadata, and interaction patterns to detect anomalies, risks, and suspicious behaviors.Key Responsibilities - Analyze behavioral patterns across AI agents and autonomous workflows - Identify anomalies, suspicious execution flows, and emerging threat indicators - Study telemetry, prompts, traces, logs, and metadata generated by AI systems - Research patterns related to: Agent misusePrompt manipulation Unsafe execution paths Hallucination and drift behavior Multi-agent interaction risks - Design and maintain isolated research/lab environments - Build pipelines to process: Agent logs, Conversation data Execution traces Metadata streams - Simulate agent behaviors and attack scenarios for analysisRequired Skills - 3–5 years of experience in software engineering, product analysis, or technical research roles - Strong hands-on experience with Python - Solid understanding of: AI/ML engineering Security analytics Data engineering Threat research - Strong analytical and problem-solving skills- Ability to break down complex systems into understandable components Preferred Skills (Nice to Have) - Experience with: OpenAI / Anthropic / open-source LLMs Vector databases&embeddings (Pinecone, Weaviate, FAISS, etc.) Prompt engineering and evaluation frameworks - Exposure to: AI observability / governance platforms SaaS product ecosystems Who Should Apply - Engineers curious about how AI products are built internally - Individuals who enjoy breaking down systems and understanding how things work- Enjoys analyzing patterns and systems - Likes experimentation and research-driven engineering