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Niche agentic AI skills plus lesser-known pharma brand yield moderate candidate competition.
Highly specialized LLM/agentic AI skills and regulated-industry familiarity limit cross-industry transferability.
Explicit 3+ years plus mandatory LLM, RAG, vector DB, and regulated‑industry requirements enforce strict filtering.
Design, build, and deploy AI agents that perform multi-step autonomous tasks integrating large language models with internal and third-party systems.
Develop and maintain orchestration layers for AI agents including error handling, retries, and human checkpoints in workflows.
Implement AI workflows that involve data retrieval, document generation, and cross-system integration using APIs and tool-calling frameworks.
Minimum 3 years professional software development experience with at least 1 year working on large language models or agentic AI systems.
Strong proficiency in Python or similar, plus experience with large language model APIs (e.g., Anthropic, OpenAI).
Experience building tool-calling/function-calling agents and managing multi-turn reasoning with tool schemas.
Familiarity with agent orchestration frameworks, retrieval-augmented generation, API integration, asynchronous systems, and AI safety/evaluation in production.
Experienced in designing and operating complex AI agent systems in regulated industries, with attention to compliance, data privacy, and security.
Skilled at translating business problems into technical AI solutions, communicating effectively with non-technical stakeholders.
Knowledgeable in pharmaceutical or healthcare enterprise systems and tool-integration standards such as MCP, with awareness of cloud platforms and MLOps practices.