Senior AI Application Engineer

THE POSITION:

As a Mid-Level AI / Agent Application Engineer you will be the core builder of the organizations 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 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.

• Masters or Ph.D. in Computer Science Engineering (Electrical Mechanical Chemical) Mathematics Physics Artificial Intelligence Software Engineering or a closely related field.
• 5 years of software engineering experience with 2 years specifically in generative AI LLMs or cognitive architectures.
• 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:

• Ph.D. in Computer Science Engineering (Electrical Mechanical Chemical) Mathematics Physics Artificial Intelligence Software Engineering or a closely related field.
• Experience in enterprise scale deployment of multi-agent architectures.
• Expert-level proficiency in Rust.
• Extensive experience with RAG (Retrieval-Augmented Generation) architectures (e.g. GraphRAG hybrid search).

Additional Information :

OUR CULTURAL BELIEFS

Patient Minded I act with the patients 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 $160 to $175000 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).  More information about EVERSANAs benefits package can be found at  reserves the right to modify this base salary range and benefits at any time. 

From EVERSANAs 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 ones identity. All of our employees points of view are key to our success and inclusion is everyones 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 .

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Remote Work :

Yes

Employment Type :

Full-time