Senior AI Application Engineer

EVERSANA; New York (NY); On-site; USD 178,000 - 215,000; Full time

Job summary

EVERSANA seeks a Mid-Level AI / Agent Application Engineer to build the organization's new agentic workforce. You will design scalable multi-agent systems, develop the tools agents use, and optimize data pipelines feeding context to the AI.

You will work beneath the Chief AI & Analytics Officer to implement agent orchestration and secure tool-calling architectures. The role requires expertise in Python/TypeScript, LLM APIs, and modern cloud/container tech, with travel and a 40-hour work week.

Qualifications

• Ph.D. in Computer Science, Engineering, Mathematics, Physics, AI, Software Engineering, or 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).
• Extensive experience with LLM APIs (OpenAI, Anthropic, Google Gemini) and open-weights models (Llama 3, Mistral).
• Experience with vector and graph databases.
• Experience with RAG architectures (GraphRAG, hybrid search).
• Strong background in cloud architecture (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).

Responsibilities

• 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).
• 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.

Job 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.

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

• 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:

• 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).

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 Together

I 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