AI/ML Developer

This is a fully remote position, open to applicants in United States.

📋 Description

• Quickly design and validate proof-of-concepts for innovative AI and machine learning applications.

• Explore and experiment with state-of-the-art analytics tools.

• Incorporate analytics tools into a cloud-based analytics framework.

• Assist in transitioning successful concepts to operational implementation.

• Conduct hands-on data exploration.

• Develop prototypes for AI and machine learning solutions.

• Streamline workflows through automation.

• Contribute to secure and well-governed MLOps practices.

• Collaborate closely with engineering and product teams to assess emerging tools.

• Create technical demonstrations.

• Document integrations thoroughly.

• Share platform updates in a collaborative environment.

⛳️ Requirements

• 5 years of experience with a BS/BA; 3 years with an MS/MA; 0 years with a PhD.

• Background in software engineering with substantial experience in developing production-grade applications and services.

• Expertise in creating agentic AI systems, including planning, tool usage, multi-step reasoning, workflow execution, or autonomous decision-making logic.

• Practical experience in designing and implementing MCP-based integrations, tool interfaces, or model-driven service frameworks.

• Capability to convert vague business or mission requirements into scalable AI-driven solutions.

• Proficiency in LLM development practices such as fine-tuning, RAG integration, prompt engineering, and agent workflow interaction models.

• Strong skills in Python development.

• Knowledge of distributed compute environments, APIs, microservices, and cloud-native architectures.

• Experience in integrating agents or LLM-driven components into Azure, AWS, GCP, or large-scale data ecosystems.

• Understanding of LLMOps/MLOps principles, including versioning, testing, deployment automation, monitoring, and governance.

• Ability to lead solution design, mentor developers, and articulate complex AI architectures to both technical and non-technical audiences.

• Familiarity with version control and modern CI/CD practices, such as Git/GitHub, automated testing, deployment pipelines, and release management.

• Must be a US citizen.

• Capability to obtain and maintain a Public Trust clearance.

• Preferred: experience with multi-agent systems or coordinated agent workflows.

• Preferred: familiarity with LangChain, LlamaIndex, Strands Agents, LangGraph, or CrewAI.

• Preferred: knowledge of agent performance evaluation, guardrails, or safe action-execution patterns.

• Preferred: hands-on experience with vector databases, embedding models, or advanced retrieval methods.

• Preferred: experience integrating agentic components into Databricks, Snowflake, or other large-scale analytics/data platforms.

• Preferred: background in data exploration or data modeling.

• Preferred: experience building AI-focused prototypes or exploring emerging agentic patterns.

• Preferred: familiarity with model routing, response validation layers, or inference acceleration.

• Preferred: knowledge of HIPAA and federal security standards, including encryption, access controls, auditability, and governance for PHI within AI/LLM workflows.

🏝️ Benefits

• Medical insurance.

• Dental insurance.

• Vision insurance.

• Life insurance.

• Health savings account.

• Short-term and long-term disability.

• Employee assistance program (EAP).

• Parental leave.

• 401(k).

• Paid time off (PTO) for vacation.

• Company-paid holidays.

• Potential overtime eligibility.

• Potential shift differential.

• Discretionary bonus eligibility.