
5001 - 10000 employees
💼 Consulting
🏥 Healthcare
⚕️ Healthcare Insurance
Consulting • Healthcare • Healthcare Insurance
EVERSANA is a comprehensive service provider focused on integrated commercial solutions for the life sciences industry. The company offers a wide range of services including advisory and management consulting, regulatory consulting, patient services, market access strategies, pricing and revenue management, medical affairs, and digital transformation. EVERSANA is known for its expertise in drug commercialization, enabling companies to effectively launch and manage pharmaceutical products. With a platform powered by data and analytics, EVERSANA addresses challenges related to drug pricing, market access, patient adherence, and product delivery, helping companies optimize their commercial strategies and enhance patient outcomes. The company emphasizes innovation and has been recognized for its use of AI and data analytics within the life sciences sector.
🔥 24 minutes ago
🗽 New York – Remote
💵 $178k - $215k / year
⏰ Full Time
🟠 Senior
💻 Application Engineer
🦅 H1B Visa Sponsor
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5001 - 10000 employees
💼 Consulting
🏥 Healthcare
⚕️ Healthcare Insurance
Consulting • Healthcare • Healthcare Insurance
EVERSANA is a comprehensive service provider focused on integrated commercial solutions for the life sciences industry. The company offers a wide range of services including advisory and management consulting, regulatory consulting, patient services, market access strategies, pricing and revenue management, medical affairs, and digital transformation. EVERSANA is known for its expertise in drug commercialization, enabling companies to effectively launch and manage pharmaceutical products. With a platform powered by data and analytics, EVERSANA addresses challenges related to drug pricing, market access, patient adherence, and product delivery, helping companies optimize their commercial strategies and enhance patient outcomes. The company emphasizes innovation and has been recognized for its use of AI and data analytics within the life sciences sector.
• Architect, design, and implement scalable multi-agent systems that automate complex, multi-step business processes • Translate existing processes and develop novel multi-agent architectures for new opportunities • Implement agentic solutions using orchestration frameworks such as Google ADK, LangGraph, and CrewAI • Design secure tool-calling architectures for safe LLM interaction with internal databases, CRMs, and APIs • Implement LLMOps and AgentOps best practices • Mitigate AI-specific security risks, including prompt injection, hallucination loops, and unauthorized tool execution • Develop agents, write the APIs/tools they use, and optimize data pipelines that provide AI context • Work under the guidance of the Chief AI & Analytics Officer • Demonstrate commitment to diversity, equity, and inclusion and proactively manage bias • Travel as needed for client, stakeholder, or off-site meetings
• Ph.D. in Computer Science, Engineering, Mathematics, Physics, Artificial Intelligence, Software Engineering, or a closely related field • 1–7+ years of software engineering experience • Expert-level proficiency in Python and/or TypeScript • Experience with MCP architectures • Proficiency in Rust • Deep understanding of agentic design patterns, including ReAct, Plan-and-Solve, Reflection, and Tree of Thoughts • Extensive experience with LLM APIs, including OpenAI, Anthropic, and Google Gemini • Experience with open-weights models, including Llama 3 and Mistral • Experience with vector and graph databases • Experience with RAG architectures, including GraphRAG and hybrid search • Strong background in cloud architecture using AWS, GCP, or Azure • Experience with Docker/Kubernetes containerization • Preferred: enterprise-scale deployment of multi-agent architectures • Preferred: expert-level proficiency in Rust • Preferred: 3+ years specifically in generative AI, LLMs, or cognitive architectures • Preferred: extensive experience with RAG architectures
• Competitive salaries and benefits • Reasonable accommodation during the interview and hiring process for qualified applicants with disabilities • Confidential handling of candidate information according to EEO guidelines
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