AI Engineer

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

📋 Description

• Design, develop, and sustain AI systems that transform customer interactions and uploaded documents into reliable, verifiable cost estimates.

• Create and oversee LangGraph agents, which include ReAct retrieval sub-agents, custom middleware, Pydantic-typed graph state, and streaming flows.

• Manage retrieval quality comprehensively through collection routing, LLM-driven metadata filters, similarity thresholds, query rewriting, semantic chunking, and citation tracking.

• Integrate AWS Bedrock, OpenAI, and self-hosted vLLM behind a unified interface.

• Develop and maintain API services, relational and domain-knowledge data stores, vector stores, and AI workflow observability/tracing.

• Establish technical direction for the AI workstream.

• Review designs and code, mentor engineers, and engage with product stakeholders.

• Execute against the roadmap while enhancing agent success, retrieval accuracy, grounding, latency, and LLM cost-efficiency.

⛳️ Requirements

• Bachelor's degree in Computer Science, Software Engineering, Data Science, or Mathematics.

• At least 6 years of progressive experience in software engineering.

• A minimum of 1 year working with production LLM-powered or machine-learning systems, including agents, RAG, or prompt/evaluation pipelines.

• Proven success in a dynamic, fast-paced environment.

• Availability to overlap with U.S./Eastern-Time business hours for client meetings.

• Extensive experience in production software engineering and LLM-powered systems.

• Expertise in agents/orchestration, retrieval-augmented generation, and prompt/evaluation pipelines.

• Proficiency in utilizing AI development tools.

• In-depth understanding of retrieval and grounding, embeddings and vector search, multi-model integration, and cost/latency optimization.

• Familiarity with the cost-estimation/Work Breakdown Structure domain, or the ability to quickly acquire in-depth knowledge.

• Capability to analyze complex, non-deterministic AI behaviors from production traces and deliver scalable, thoroughly-tested solutions.

• Exceptional skill in communicating technical and model-behavior concepts to non-technical and client stakeholders.

• Confidence in participating in live U.S./ET client meetings and maintaining disciplined asynchronous written communication across time zones.

• Proven ability to make critical, time-sensitive decisions with limited information.

• High level of ownership, motivation, a proactive approach, and a willingness to go the extra mile.

🏝️ Benefits

• Flexible working arrangements.

• Opportunities for long-term professional development.

• A collaborative, trust-oriented, and quality-focused work environment.

• Autonomy combined with accountability and the ability to influence architecture, technical direction, and standards.