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 files into reliable, verifiable cost estimates.

• Create and uphold LangGraph agents, which include ReAct retrieval sub-agents, tailored middleware, Pydantic-typed graph states, and streaming workflows.

• Take full responsibility for retrieval quality from start to finish through agentic retrieval, collection routing, LLM-driven metadata filters, similarity thresholds, query rewriting, semantic chunking, and citation tracking.

• Integrate AWS Bedrock, OpenAI, and self-hosted vLLM through an abstract provider interface.

• Develop and manage platform API services, relational and domain-specific data stores, vector repositories, and observability/tracing for AI workflows.

• Establish the technical direction for the AI workstream.

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

• Enhance agent task success rates, retrieval precision/recall, grounding and citation accuracy, groundedness, delivery, review quality, mentoring outcomes, and stakeholder satisfaction.

⛳️ Requirements

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

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

• Minimum of 1 year of experience building production LLM-powered or machine-learning systems, including agents, RAG, or prompt/evaluation pipelines.

• Demonstrated ability to deliver results in a fast-paced setting.

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

• Expert-level skills in production software engineering.

• Proficiency in developing LLM-powered systems, including agents/orchestration, retrieval-augmented generation, and prompt/evaluation pipelines.

• Fluency in utilizing AI development tools to expedite delivery.

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

• Ability to quickly grasp the cost-estimation / Work Breakdown Structure domain.

• Capacity to analyze intricate, non-deterministic AI behavior from production traces and provide scalable, well-tested solutions under time constraints.

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

• Confidence in conducting live client meetings in U.S./ET.

• Strong written communication skills for effective asynchronous communication across time zones.

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

• High level of ownership, motivation, bias for action, and a willingness to go above and beyond.

• Strong leadership capabilities.

• Desirable: Master's degree in Computer Science, Machine Learning, or AI.

• Desirable: Relevant cloud or machine-learning certification.

• Nice to have: Experience with self-hosted model inference, observability and tracing tools, clean layered service architecture, internal AI tooling/automation, cloud-platform expertise, agent-reliability patterns, multi-format document ingestion and processing, evaluation/benchmark frameworks, regression fixtures, U.S.-based client experience, mentoring, design reviews, technical direction, and AI roadmap trade-offs.

🏝️ Benefits

• Flexible working arrangements.

• Long-term development opportunities.

• A collaborative, trust-based work environment.

• Autonomy with accountability.

• Significant ownership and influence over architecture, technical direction, and standards.

• Mentorship and growth alongside seasoned engineers.

• Sustainable working practices.