Lead Agentic AI Engineer

Responsibilities

• Design and deploy stateful multi-agent coordination graphs using
• LangGraph
• or custom DAG loops, enabling dynamic task decomposition, supervisor orchestration, human-in-the-loop escalation, and self-healing error recovery.
• Build standardized

Model Context Protocol (MCP)

• servers and connectors to securely expose Salesforce tools, custom objects, actions, and enterprise context to autonomous agent runners.
• Establish specification-driven development patterns, clear API contracts, and architectural blueprints, communicating technical trade-offs directly to engineering teams and C-suite stakeholders.

Requirements

• 7+ Years of Enterprise Software Engineering:
• Proven experience building robust software systems in
• Python, or
• 3+ Years of Production AI / LLM Experience:
• Demonstrated track record designing, evaluating, and scaling production autonomous agent systems and RAG architectures in enterprise environments.

Preferred

• High autonomy to isolate complex latency bottlenecks, debug agent routing loops, and turn ambiguous enterprise needs into secure, deterministic technical realities.

Engagement Type

Full-Time

About CodeRoad

CodeRoad is a technology execution partner trusted by companies across North America since 2002. We work alongside our clients to engineer, modernize, and scale the technology that powers their businesses, combining deep technical expertise, specialized teams, and shared accountability for outcomes. Our capabilities span product engineering, platform engineering, legacy modernization, and AI engineering.

Our engineers, designers, delivery leaders, and technology specialists collaborate through Velocity Studios: specialized teams developed within CodeRoad to deliver complex technology initiatives. Being assigned to a project means you become part of a collaborative environment where you can strengthen your expertise, take ownership of meaningful work, and grow alongside experienced professionals.

Why Build Your Career at CodeRoad?

High-Velocity Work & Client Exposure

We work close to the technology, teams and roadmaps that move real outcomes. Direct engagement with U.S. client teams and roadmaps.

Career Continuity & Long-Term Opportunity

Your career here can outlast any single project. Continuous multi-project pipeline; long-tenure CodeRoaders.

Engineering Autonomy & Technical Mastery

We invest in the skills that shape what's next. Agentic AI tools and training, Coursera Enterprise, Studio practice labs, L1-L7 Career Framework.

High-Trust Employee Experience

You grow in an environment built on trust, transparency and recognition. High-touch onboarding, transparent leadership communication, community recognition, psychological safety.

Optimize Reasoning, Latency & Token Spend

Architect multi-tiered LLM routing strategies across model tiers (utilizing

Claude 3.5 Sonnet/Opus for complex multi-turn reasoning and

Haiku for high-throughput utility tasks) to balance latency, accuracy, and API costs.

Establish Automated Evaluation Pipelines

• Implement automated eval harnesses (
• Promptfoo

Ragas

DeepEval) within CI/CD pipelines to continuously measure context grounding, schema validity, and hallucination resistance against golden benchmark datasets.

Enforce Defense-in-Depth Security & Observability

Implement end-to-end telemetry and security using

LangSmith or

Langfuse, combined with input sanitization, field-level security (FLS) compliance, and automated PII scrubbing.

TypeScript / Node.js

• Java
• Apex

Agentic AI & Tooling Mastery

• Deep expertise with
• LangGraph
• LangChain

Anthropic / Claude APIs

(tool calling, prompt caching, Claude Code),

MCP

• , and observability suites (
• LangSmith
• Langfuse
• OpenTelemetry

Rigorous Evaluation Mechanics

• Direct experience setting up automated test gates using
• Promptfoo

Ragas, or

LLM-as-a-judge frameworks to monitor non-deterministic behavior and context degradation.

Advanced English Fluency

Exceptional written and spoken English communication skills for direct technical leadership and consultation with U.S.-based client executives.

Legal Authorization

Legal authorization to work in the United States.

Bonus Ecosystem Exposure

• Hands-on experience with Salesforce APIs (REST, SOQL/SOSL, Platform Events),
• Salesforce Data Cloud, vector search,
• Agentforce, containerized MCP deployments, or Spec-Driven Development (SDD) is a strong plus.
• What You’ll Love

Competitive Pay ($190,000–$250,000 USD / year)

Comprehensive Benefits Package (Medical, Dental, Vision & Retirement Plan)

Holidays Off & Paid Time Off (PTO)

Opportunity to work with high-growth US-based companies and cutting-edge tech stacks.

Ready to Build What Actually Ships?

Explore opportunities and submit your application today!