Intelligent compliance. Sustainable progress. A safer world.

AI Engineer

AI EngineerMachine Learning EngineerFull TimeRemoteTeam 501-1,000Since 1993H1B SponsorCompany Site LinkedIn

Location

Alabama + 22 more

Posted

168 days ago

Salary

Not specified

7 yrs expEnglishAWSAzureCloudGoogle Cloud Platform

Job Description

• Lead Development of Secure, Autonomous AI Systems: Architect intelligent, agent-based tools leveraging solutions like Claude Code, MCPs, A2A, Gemini CLI, the OpenAI Agents SDK, and using Knowledge Graph concepts to solve complex, high-value problems. • Develop A2A Systems: Build frameworks to enable LLMs to work together internally and externally, increasing the reach of 3E-enabled generative AI systems. • Bridge Product & Engineering: Partner with Product, Engineering, and Customer teams to embed AI into tools that enhance usability, decision-making, and automation. • Build Seamless API Integrations: Create scalable, secure APIs that connect AI models with web applications, internal systems, and external platforms. Integrate these with MCP for agentic use. • Contribute to Responsible AI Practices: Help define responsible development standards, alignment strategies, and safety protocols and stay current with AI advancements. • Work closely with CTO and cross-functional teams to turn AI models and proprietary data into customer-facing solutions that drive business value and competitive advantage.

Job Requirements

7 - 10 + years of experience as a software engineer or data science engineer
Deep experience developing and deploying production-grade AI systems
Hands-on experience with LLMs, generative AI, and agentic frameworks such as MCP, A2A, the OpenAI Agents SDK
Proven ability in AI infrastructure setting up production-grade model inference serving, MLOps pipelines, and shared services
Solid understanding of AI safety, alignment, and ethical development practices
Preferred: Experience with agent orchestration frameworks such as Claude Subagents, AutoGen, or CrewAI
Preferred: Expertise in prompt engineering, context engineering, RAG pipelines, and optimization
Preferred: Expertise in using and deploying open-source LLMs into production such as variants of Qwen, DeepSeek, Llama, Mistral, Gemma
Preferred: Familiarity with cloud-based AI tools (e.g., AWS Bedrock, GCP Vertex AI, Azure ML)
Preferred: Experience integrating AI capabilities into legacy web applications, desktop applications, and APIs

Benefits

Health, dental, and vision insurance
Life insurance and disability coverage
Generous PTO accrual and paid parental leave
401(k) plan with company matching
Employee assistance program
Voluntary supplemental benefits (Accident, Hospital Indemnity, Critical Illness)
In addition to base salary, certain roles may qualify for a performance-based incentive and/or equity, with eligibility depending on the position