3E is looking to transform how the world works by using AI to create user-facing solutions that drive real customer value, enhance usability, decision-making, and automation, and solve complex, high-value problems.
Requirements
- 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.
- Experience with agent orchestration frameworks such as Claude Subagents, AutoGen, or CrewAI.
- Expertise in prompt engineering, context engineering, RAG pipelines, and optimization.
- Expertise in using and deploying open-source LLMs into production such as variants of Qwen, DeepSeek, Llama, Mistral, Gemma.
Responsibilities
- 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: Stay current with AI advancements and help define responsible development standards, alignment strategies, and safety protocols.
Other
- 7 - 10 + years of experience as a software engineer or data science engineer.
- Familiarity with cloud-based AI tools (e.g., AWS Bedrock, GCP Vertex AI, Azure ML).
- Experience integrating AI capabilities into legacy web applications, desktop applications, and APIs.
- 3E is currently authorized to hire in the following U.S. states: Alabama, Arizona, Colorado, Connecticut, Delaware, Florida, Georgia, Illinois, Indiana, Kansas, Kentucky, Massachusetts, Michigan, Minnesota, Nevada, New Jersey, New York, North Carolina, Oklahoma, Oregon, Pennsylvania, South Carolina, Tennessee, Texas, Utah, and Washington.
- The final offer will depend on several factors, including the successful candidate’s skills, depth of work experience, location, and relevant licenses/ qualifications.
