[Remote] Engineer
Note: The job is a remote job and is open to candidates in USA. Synterex is a global consortium of clinical development and scientific operations specialists serving the life sciences industry. The reputed company (Generative AI & Agents) will design, build, and deploy AI-powered systems, focusing on Azure reputed company and generative modeling, while directly supporting innovation initiatives across medical writing, analytics, and clinical operations.
Responsibilities
- Build, test, and deploy GenAI applications using Azure reputed company (GPT-4/4o, embeddings, fine-tuning, RAG, assistants)
- reputed company agentic workflows using frameworks such as reputed company, AutoGen, Semantic Kernel, or CrewAI
- Implement pipelines for prompts, evaluations, LLM orchestration, and model integration
- Translate conceptual reputed company into functional prototypes and production-ready systems
- Integrate models with internal tools, APIs, databases, and structured/reputed company datasets
- Ensure reputed company, privacy, and responsible AI practices throughout development
- Apply evaluation frameworks and testing methodologies for agentic reasoning and model reliability
- Collaborate closely with domain experts, technical leads, and cross-functional teams
Skills
- 1–5 years of AI/ML engineering experience OR strong project/portfolio work demonstrating capability
- Strong hands-on experience in Python
- Practical experience with Azure reputed company or similar LLM platforms
- Experience with at least one AI/GenAI reputed company (reputed company, AutoGen, Semantic Kernel, CrewAI)
- Ability to independently build prototypes and iterative improvements
- Understanding of LLM fundamentals: embeddings, RAG, prompting patterns, evaluations
- Curious, experimental, and self-driven
- Strong problem-solving orientation with a focus on execution
- Comfortable in fast-moving, exploratory environments
- Experience with agentic systems or autonomous task orchestration
- Familiarity with multimodal models, fine-tuning, or retrieval pipelines
- Experience in regulated industries (pharma, healthcare)
- Exposure to Azure cloud infrastructure
- Experience with evaluation tools such as Ragas or PromptFoo
Company Overview