Senior AI Application Engineer

Eversana1; United States; On-site; USD 178,000 - 215,000; Full time

Job summary

EVERSANA in the United States is hiring a Mid-Level AI / Agent Application Engineer to build agentic workflows, create tools, and optimize data pipelines for AI systems. You will work under the Chief AI & Analytics Officer to deliver scalable, secure agent architectures and APIs that empower intelligent automation across enterprise processes.

The role requires expertise in Python/TypeScript, LLM APIs, and modern cloud/container technologies, with travel as needed.

Qualifications

• Ph.D. or equivalent in CS/AI or related field.
• 1–7+ years of software engineering experience.
• Expert-level proficiency in Python and/or TypeScript.
• Experience with multi-agent systems and LLM tooling.
• Experience with vector/graph databases and RAG architectures.

Responsibilities

• Architect, design and implement scalable, multi-agent systems that automate complex, multi-step business processes.
• Translate processes and develop novel multi-agent architectures for new opportunities.
• Implement agentic solutions leveraging agent orchestration frameworks.
• Design secure tool-calling architectures for LLMs accessing internal data sources.
• Implement LLMOps/AgentOps best practices and address AI security risks.
• Demonstrate commitment to diversity, equity, and inclusion in development processes.
• All other duties as assigned.

Skills

Python

TypeScript

Rust

Agent architectures

RAG architectures

Vector databases

Graph databases

LLM APIs

Cloud architecture

Education

Ph.D. in Computer Science, Engineering, Mathematics, Physics, AI, Software Engineering or related field

Tools

Docker

Kubernetes

AWS

GCP

Azure

OpenAI API

Anthropic API

Google Gemini API

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.

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).

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 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.

EVERSANA is committed to providing competitive salaries and benefits for all employees. If this job posting includes a base salary range, it