PRX- AI Engineer

Apexon Technology; New York (NY); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Health Insurance with Dental & Vision

401K Plan

Life Insurance, STD & LTD

Paid Vacations & Holidays

Job summary

Apexon Technology is looking for a skilled engineer in New York to build agentic AI systems and productionize Large Language Models (LLMs). You'll design and implement advanced AI solutions, ensuring safety and compliance, while optimizing performance and costs.

Your role will involve collaborating with diverse teams to address real-world challenges through innovative AI applications. Benefits include health insurance, 401K, life insurance, and paid time off.

Qualifications

• 5+ years of software development in languages like Python, C/C++, Go, Java.
• Practical experience with LLMs and cloud infrastructure, preferably AWS.
• Strong analytical problem-solving and effective communication skills.

Responsibilities

• Design and implement AI systems using retrieval and reasoning.
• Productionize LLMs by building evaluation frameworks.
• Collaborate with teams to translate production pain points into actionable plans.

Skills

Software development

Large Language Models (LLMs)

Cloud infrastructure

Analytical problem-solving

Job description

Responsibilities

• Build agentic AI systems: design and implement tool‑calling agents that combine retrieval, structured reasoning, and secure action execution (function calling, change orchestration, policy enforcement) following MCP protocol. Engineer robust guardrails for safety, compliance, and least‑privilege access.
• Productionize LLMs: build an evaluation framework for open‑source and foundational LLMs; implement retrieval pipelines, prompt synthesis, response validation, and self‑correction loops tailored to production operations.
• Integrate with runtime ecosystems: connect agents to observability, incident management, and deployment systems to enable automated diagnostics, runbook execution, remediation, and post‑incident summarization with full traceability.
• Collaborate directly with users: partner with production engineers and application teams to translate production pain points into agentic AI roadmaps; define objective functions linked to reliability, risk reduction, and cost; and deliver auditable, business‑aligned outcomes.
• Safety, reliability, and governance: build validator models, adversarial prompts, and policy checks into the stack; enforce deterministic fallbacks, circuit breakers, and rollback strategies; instrument continuous evaluations for usefulness, correctness, and risk.
• Scale and performance: optimize cost and latency via prompt engineering, context management, caching, model routing, and distillation; leverage batching, streaming, and parallel tool‑calls to meet stringent SLOs under real‑world load.
• Build a RAG pipeline: curate domain knowledge; build data‑quality validation framework; establish feedback loops and milestone framework to maintain knowledge freshness.
• Raise the bar: drive design reviews, experiment rigor, and high‑quality engineering practices; mentor peers on agent architectures, evaluation methodologies, and safe deployment patterns.

Qualifications

• 5+ years of software development in one or more languages (Python, C/C++, Go, Java); strong hands‑on experience building and maintaining large‑scale Python applications preferred.
• 3+ years designing, architecting, testing, and launching production ML systems, including model deployment/serving, evaluation and monitoring, data processing pipelines, and model fine‑tuning workflows.
• Practical experience with Large Language Models (LLMs): API integration, prompt engineering, fine‑tuning/adaptation, and building applications using RAG and tool‑using agents (vector retrieval, function calling, secure tool execution).
• Understanding of different LLMs, both commercial and open source, and their capabilities (OpenAI, Gemini, Llama, Qwen, Claude).
• Solid grasp of applied statistics, core ML concepts, algorithms, and data structures to deliver efficient and reliable solutions.
• Strong analytical problem‑solving, ownership, and urgency; ability to communicate complex ideas simply and collaborate effectively across global teams with a focus on measurable business impact.
• Preferred: Proficiency building and operating on cloud infrastructure (ideally AWS), including containerized services (ECS/EKS), serverless (Lambda), data services (S3, DynamoDB, Redshift), orchestration (Step Functions), model serving (SageMaker), and infra‑as‑code (Terraform/CloudFormation).

Commitment to Diversity & Inclusion

Apexon is committed to being an equal opportunity employer and promoting diversity in the workplace. We take affirmative action to ensure equal employment opportunity for all qualified individuals. Apexon strictly prohibits discrimination and harassment of any kind and provides equal employment opportunities to employees and applicants without regard to gender, race, color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law.

Commitment to Environment

Actively contribute to Apexon's commitment to environmental responsibility by following sustainable practices and supporting ESG initiatives.

Benefits

• Health Insurance with Dental & Vision
• 401K Plan
• Life Insurance, STD & LTD
• Paid Vacations & Holidays
• FSA Dependent & Limited Purpose Care

Job Location

New York, United States