Artificial Intelligence Engineer

Company:  Addition Management
Location: Remote
Closing Date: 29/06/2026
Salary: $120,000 - $150,000 per annum
Hours: Full Time
Type: Permanent

Job Description

This range is provided by Addition Management. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$120,000.00/yr - $150,000.00/yr

Direct message the job poster from Addition Management

Title: Senior Software Forward Deployed Engineer

Location: Remote (East Coast)

Salary: $120k - $150k + Bonus

Prestigious Professional Services Firm is seeking a Senior Software Forward Deployed Engineer to join their team!

Responsibilities

  • Build and integrate AI-powered features into enterprise products (e.g., conversational UIs, insights modules, dashboards)
  • Develop and maintain integrations across APM, logging, and audit pipelines to ensure observability and compliance
  • Collaborate with Prompt Engineers to optimize prompts and implement robust guardrails
  • Design and orchestrate AI agents, wiring LLMs to APIs and internal tools through frameworks like MCP Server and A2A protocols
  • Develop semantic search pipelines and entity-aware features to enhance contextual relevance
  • Support the evolution of AI infrastructure, including service orchestration, token flow control, and API rate management
  • Contribute to building internal libraries, reusable components, and integration standards for AI-powered apps

Qualifications

  • Bachelor of Science in Computer Science, Software Engineering, Electrical Engineering, Computer Engineering, Information Systems or related area
  • 3+ years of experience in software development, preferably in AI, NLP, or data-driven environments
  • Experience with LLMs (e.g., GPT, Claude) and integrating them into products
  • Experience extending ChatGPT custom GPTs via Actions
  • Familiarity with APM tools, log tracing, and building secure/observable services
  • Exposure to agent orchestration frameworks, semantic search, or knowledge graph pipelines
  • Understanding of A2A protocols, MCP Server, and enterprise integration patterns
  • Strong collaboration skills and ability to work cross-functionally with Product, Data, and Engineering teams

Seniority level

  • Mid-Senior level

Employment type

  • Full-time

Job function

  • Information Technology

Industries

  • Professional Services

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