Forward Deployed AI Engineer

Position Summary:

The organization is embedding AI agents directly into Legal systems and the infrastructure that runs them.

You'll own the Legal business line as a one-person engineering team. The Center of Excellence, part of our central AI organization, provides the methodology, platform, and proven patterns; Legal provides the problems, the subject matter experts, and the appetite for change. Your job is to turn that combination into shipped agents and MCP integrations, then hand mature work off to platform and operations teams as it stabilizes.

We expect engineers at this level to treat AI tools as a core part of their workflow, not an occasional aid. Your leverage comes from the hooks, skills, workflows, and automations you build to ship safely into production.

Key Responsibilities:

Build and ship agents in close partnership with subject matter experts and operators.

Stand up MCP servers and connectors, moving from pre-production through design review into production.

Bootstrap skills, integrations, and evaluations on top of the organization's AI platform, including the LLM gateway, shared RAG services, and MCP toolchain.

Run workshops with teams, teach them to use Claude Code, and translate their workflows into agent skills.

Hand off mature systems to platform and operations teams once they outgrow the bootstrap phase.

Feed patterns, anti-patterns, and platform gaps back into the Center of Excellence so the next engineer moves faster.

Preferred Skills:

Shipped production agents using Claude Agent SDK, MCP, or an equivalent stack.

Production experience in at least one of Python, Node, or .NET, with the ability to move across the others.

Worked with a range of data stores, including relational, NoSQL, object/blob, vector, and document databases.

Operated end-to-end as a one-person team: designing, shipping, supporting, and handing off work.

Strong written and verbal communication, with comfort presenting to non-engineers.

Pragmatic judgment on when to ship, when to harden, and when to hand off.

Systems thinking with a focus on failure modes; AI writes most of the code, but you own the outcome.

Comfort tasking and running multiple agents in parallel as part of your daily workflow.

Desired Skills and Experience Position Summary:

The organization is embedding AI agents directly into Legal systems and the infrastructure that runs them.

You'll own the Legal business line as a one-person engineering team. The Center of Excellence, part of our central AI organization, provides the methodology, platform, and proven patterns; Legal provides the problems, the subject matter experts, and the appetite for change. Your job is to turn that combination into shipped agents and MCP integrations, then hand mature work off to platform and operations teams as it stabilizes.

We expect engineers at this level to treat AI tools as a core part of their workflow, not an occasional aid. Your leverage comes from the hooks, skills, workflows, and automations you build to ship safely into production.

Key Responsibilities:

Build and ship agents in close partnership with subject matter experts and operators.

Stand up MCP servers and connectors, moving from pre-production through design review into production.

Bootstrap skills, integrations, and evaluations on top of the organization's AI platform, including the LLM gateway, shared RAG services, and MCP toolchain.

Run workshops with teams, teach them to use Claude Code, and translate their workflows into agent skills.

Hand off mature systems to platform and operations teams once they outgrow the bootstrap phase.

Feed patterns, anti-patterns, and platform gaps back into the Center of Excellence so the next engineer moves faster.

Preferred Skills:

Shipped production agents using Claude Agent SDK, MCP, or an equivalent stack.

Production experience in at least one of Python, Node, or .NET, with the ability to move across the others.

Worked with a range of data stores, including relational, NoSQL, object/blob, vector, and document databases.

Operated end-to-end as a one-person team: designing, shipping, supporting, and handing off work.

Strong written and verbal communication, with comfort presenting to non-engineers.

Pragmatic judgment on when to ship, when to harden, and when to hand off.

Systems thinking with a focus on failure modes; AI writes most of the code, but you own the outcome.

Comfort tasking and running multiple agents in parallel as part of your daily workflow.

Dexian stands at the forefront of Talent + Technology solutions with a presence spanning more than 70 locations worldwide and a team exceeding 10,000 professionals. As one of the largest technology and professional staffing companies and one of the largest minority-owned staffing companies in the United States, Dexian combines over 30 years of industry expertise with cutting-edge technologies to deliver comprehensive global services and support.

Dexian connects the right talent and the right technology with the right organizations to deliver trajectory-changing results that help everyone achieve their ambitions and goals. To learn more, please visit https://dexian.com/.

Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.