Applied AI Engineer

Akkodis is seeking
Applied AI Engineer
for a Direct Hire position with a
Chestnut Hill MA (100% Onsite).

Salary range:
$150-160K/Annum + Benefits + Bonus; Pay rates may be negotiable based on experience, education, geographic location, and other factors.

Title: Applied AI Engineer

Location: Boston MA (100% Onsite)

Type: Direct Hire

What You’ll Do

• Design and build AI solutions end-to-end from discovery and scoping through production deployment and iteration with clear success metrics tied to real business outcomes.
• Partner closely with stakeholders across leasing, finance, operations, development, legal, and other departments to identify inefficiencies and translate them into concrete AI and automation use cases.
• Design and deploy agentic systems for business workflows, including orchestration logic, tool and API integrations, retrieval patterns (RAG), guardrails, and human-in-the-loop flows.
• Develop internal AI applications that put new capabilities directly in the hands of business teams’ tools that people actually use, and that change how they work.
• Build robust evaluation and observability into AI systems, ensuring they stay reliable and performant in production across quality, latency, and cost dimensions.
• Help WS scale AI responsibly on proprietary data by contributing to governance frameworks, guardrails, and responsible use practices.
• Communicate clearly with both technical and non-technical audiences, making AI systems understandable, trustworthy, and well-used across the organization.
• Create reusable patterns, templates, and shared infrastructure that enable business units to prototype safely and accelerate AI adoption company wide.

What You’ll Bring

• Bachelor’s or master’s degree in engineering, Computer Science, Mathematics, or a related field or equivalent experience.
• 3+ years building and deploying software, data, or AI/ML solutions in production environments.
• Strong Python skills and comfort integrating APIs and external services.
• Hands-on experience using modern LLMs and AI frameworks (e.g., Anthropic, OpenAI, LangGraph, or similar) to build production applications.
• Experience implementing Retrieval-Augmented Generation (RAG) patterns.
• Experience designing and deploying agentic architectures, including multi-step workflows, tool use, and orchestration logic.
• Experience with evaluation pipelines, observability tooling, and feedback loops to measure AI system quality and performance.
• Comfort working with enterprise data realities: permissions, sensitive data, messy inputs, and governance requirements.
• Fluency with AI coding assistants (e.g., Claude Code) to accelerate development and build more effective solutions.
• A builder’s mindset: you’re energized by hard problems, comfortable with ambiguity, and genuinely excited about what’s possible in this field.
• Excellent communication and stakeholder partnership skills — you know how to work directly with non-technical business teams, scope problems well, and deliver solutions that land.

Benefits include but are not limited to:

• Medical/Dental/Vision
• 401K
• PTO/Paid Holidays

To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit https://www.akkodis.com/en/privacy-policy.

The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:

· The California Fair Chance Act

· Los Angeles City Fair Chance Ordinance

· Los Angeles County Fair Chance Ordinance for Employers

· San Francisco Fair Chance Ordinance