Harnham
Overview
We’re working with a leading national organization that is scaling its Applied AI team to deliver enterprise-grade Generative AI solutions. This role is ideal for a hands-on Senior Engineer who wants to take ownership of building and deploying cutting-edge AI applications while mentoring mid-level engineers and driving production-ready solutions. Compensation : Up to $170,000 base + 12-15% quarterly bonus. What You’ll Do Design, prototype, and deploy Generative AI solutions across client-facing and internal platforms.
Build applications leveraging LLMs, RAG pipelines, vector databases, and prompt engineering.
Lead development of chatbots and voice AI agents, ensuring scalability, compliance, and high-quality real-time interactions.
Deliver proof-of-concepts for use cases such as document summarization, classification, and knowledge assistants.
Partner with ML Ops to ensure robust pipelines, observability, and production-readiness.
Mentor mid-level engineers and help establish technical best practices.
Team Reporting directly to the Director of Applied AI.
Collaborating with a Senior Generative AI Product Manager, ML/AI Ops Engineer, and two mid-level AI Engineers.
Close partnership with Product, Data, and Engineering teams.
What We’re Looking For
Must Haves 6+ years in ML, NLP, AI engineering, SWE, or Data Engineering.
Proven track record of production-grade chatbot deployment in the past 2 years.
Advanced Python skills, with hands-on experience using LangChain, Hugging Face, Transformers, and OpenAI APIs.
Strong SQL (Snowflake is a plus).
Excellent communication skills, with the ability to explain AI outputs to non-technical stakeholders.
Nice to Haves Familiarity with Snowflake, dbt, Salesforce integration.
Experience in regulated industries.
Compensation & Location Up to $170,000 base salary + 12–15% bonus (paid quarterly).
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We’re working with a leading national organization that is scaling its Applied AI team to deliver enterprise-grade Generative AI solutions. This role is ideal for a hands-on Senior Engineer who wants to take ownership of building and deploying cutting-edge AI applications while mentoring mid-level engineers and driving production-ready solutions. Compensation : Up to $170,000 base + 12-15% quarterly bonus. What You’ll Do Design, prototype, and deploy Generative AI solutions across client-facing and internal platforms.
Build applications leveraging LLMs, RAG pipelines, vector databases, and prompt engineering.
Lead development of chatbots and voice AI agents, ensuring scalability, compliance, and high-quality real-time interactions.
Deliver proof-of-concepts for use cases such as document summarization, classification, and knowledge assistants.
Partner with ML Ops to ensure robust pipelines, observability, and production-readiness.
Mentor mid-level engineers and help establish technical best practices.
Team Reporting directly to the Director of Applied AI.
Collaborating with a Senior Generative AI Product Manager, ML/AI Ops Engineer, and two mid-level AI Engineers.
Close partnership with Product, Data, and Engineering teams.
What We’re Looking For
Must Haves 6+ years in ML, NLP, AI engineering, SWE, or Data Engineering.
Proven track record of production-grade chatbot deployment in the past 2 years.
Advanced Python skills, with hands-on experience using LangChain, Hugging Face, Transformers, and OpenAI APIs.
Strong SQL (Snowflake is a plus).
Excellent communication skills, with the ability to explain AI outputs to non-technical stakeholders.
Nice to Haves Familiarity with Snowflake, dbt, Salesforce integration.
Experience in regulated industries.
Compensation & Location Up to $170,000 base salary + 12–15% bonus (paid quarterly).
#J-18808-Ljbffr