Additionalinformation

Additional Information

OUR CULTURAL BELIEFS

Patient Minded I act with the patient’s best interest in mind.

Client Delight I own every client experience and its impact on results.

Take Action I am empowered and empower others to act now.

Grow Talent I own my development and invest in the development of others.

Win TogetherI passionately connect with anyone, anywhere, anytime to achieve results.

Communication Matters I speak up to create transparent, thoughtful and timely dialogue.

Embrace Diversity I create an environment of awareness and respect.

Always Innovate I am bold and creative in everything I do.

EVERSANA is committed to providing competitive salaries and benefits for all employees. The anticipated base salary range for this position is $178,000 to $215,000 and is not applicable to locations outside of the U.S. The base salary range represents the low and high end of the salary range for this position. Compensation will be determined based on relevant experience, other job-related qualifications/skills, and geographic location (to account for comparative cost of living). EVERSANA reserves the right to modify this base salary range at any time.

All your information will be kept confidential according to EEO guidelines.

Our team is aware of recent fraudulent job offers in the market, misrepresenting EVERSANA. Recruitment fraud is a sophisticated scam commonly perpetrated through online services using fake websites, unsolicited e-mails, or even text messages claiming to be a legitimate company. Some of these scams request personal information and even payment for training or job application fees. Please know EVERSANA would never require personal information nor payment of any kind during the employment process. We respect the personal rights of all candidates looking to explore careers at EVERSANA.

EVERSANA is committed to providing competitive salaries and benefits for all employees. If this job posting includes a base salary range, it represents the low and high end of the salary range for this position and is not applicable to locations outside of the U.S. Compensation will be determined based on relevant experience, other job-related qualifications/skills, and geographic location (to account for comparative cost of living). This role is eligible for hire in select U.S. locations based on business and operational considerations. For a full list of locations, visit eversana.com/careers. More information about EVERSANA’s benefits package can be found at eversana.com/careers. EVERSANA reserves the right to modify this base salary range and benefits at any time.

From EVERSANA’s inception, Diversity, Equity & Inclusion have always been key to our success. We are an Equal Opportunity Employer, and our employees are people with different strengths, experiences, and backgrounds who share a passion for improving the lives of patients and leading innovation within the healthcare industry. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion, and many other parts of one’s identity. All of our employees’ points of view are key to our success, and inclusion is everyone's responsibility.

Consistent with the Americans with Disabilities Act (ADA) and applicable state and local laws, it is the policy of EVERSANA to provide reasonable accommodation when requested by a qualified applicant or candidate with a disability, unless such accommodation would cause an undue hardship for EVERSANA. The policy regarding requests for reasonable accommodations applies to all aspects of the hiring process. If reasonable accommodation is needed to participate in the interview and hiring process, please contact us at [email protected].

Follow us on LinkedIn | Twitter

Companydescription

Company Description

At EVERSANA, we are proud to be certified as a Great Place to Work across the globe. We’re fueled by our vision to create a healthier world. How? Our global team of more than 7,000 employees is committed to creating and delivering next-generation commercialization services to the life sciences industry. We are grounded in our cultural beliefs and serve more than 650 clients ranging from innovative biotech start-ups to established pharmaceutical companies. Our products, services and solutions help bring innovative therapies to market and support the patients who depend on them. Our jobs, skills and talents are unique, but together we make an impact every day. Join us!

Across our growing organization, we embrace diversity in backgrounds and experiences. Improving patient lives around the world is a priority, and we need people from all backgrounds and swaths of life to help build the future of the healthcare and the life sciences industry. We believe our people make all the difference in cultivating an inclusive culture that embraces our cultural beliefs. We are deliberate and self-reflective about the kind of team and culture we are building. We look for team members that are not only strong in their own aptitudes but also who care deeply about EVERSANA, our people, clients and most importantly, the patients we serve. We are EVERSANA.

Jobdescription

Job Description

As a Mid-Level AI / Agent Application Engineer, you will be the core builder of the organization's new agentic workforce. Working under the guidance of the Chief AI & Analytics Officer, you will develop the actual agents, write the APIs (tools) the agents will use, and optimize the data pipelines that feed context to the AI.

ESSENTIAL DUTIES AND RESPONSIBILITIES: Our employees are tasked with delivering excellent business results through the efforts of their teams. These results are achieved by:

• 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 leveraging agent orchestration frameworks (e.g., Google ADK, LangGraph, CrewAI, etc.).
• Design secure "tool-calling" architectures, allowing LLMs to interact with internal databases, CRMs, and APIs safely.
• Implement LLMOps/AgentOps best practices
• Mitigate AI-specific security risks, such as prompt injection, hallucination loops, and unauthorized tool execution.
• Demonstrate a commitment to diversity, equity, and inclusion through continuous development, modeling inclusive behaviors, and proactively managing bias.
• All other duties as assigned.

EXPECTATIONS OF THE JOB:

• Travel: Some travel may be required for meeting with clients, stakeholders, or off-site personnel/management
• Hours: 40 hours per week, Monday to Friday

The above list reflects the general details necessary to describe the expectations of the position and shall not be construed as the only expectations that may be assigned for the position.

An individual in this position must be able to successfully perform the expectations listed above.

Qualifications

MINIMUM KNOWLEDGE, SKILLS AND ABILITIES:

The requirements listed below are representative of the experience, education, knowledge, skill and/or abilities required.

• Ph.D. in Computer Science, Engineering (Electrical, Mechanical, Chemical), 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 (e.g., ReAct, Plan-and-Solve, Reflection, Tree of Thoughts, etc.).
• Extensive experience with LLM APIs (OpenAI, Anthropic, Google Gemini) and open-weights models (Llama 3, Mistral, etc.).
• Experience with vector and graph databases
• Experience with RAG (Retrieval-Augmented Generation) architectures (e.g., GraphRAG, hybrid search).
• Strong background in cloud architecture (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).

PREFERRED QUALIFICATIONS:

• Experience in enterprise scale deployment of multi-agent architectures.
• Expert-level proficiency in Rust.
• 3+ years specifically in generative AI, LLMs, or cognitive architectures.
• Extensive experience with RAG (Retrieval-Augmented Generation) architectures (e.g., GraphRAG, hybrid search).