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Job opportunity AI AGENT BUILDER MULTIPLE DOMAIN at Remote, Remote, USA
Email: [email protected]
http://bit.ly/4ey8w48
https://jobs.nvoids.com/job_details.jsp?id=3503952&uid=2cc50e474622454db17bf8ea4ed9a555

From:

Saurabh kumar,

Tanisha systems

[email protected]

Reply to: [email protected]

PLEASE MENTION DOMAIN ALONG WITH THE PROFILE

AI AGENT BUILDER- SALES || MARKETING || FINANCE

Marketing AI Agent Builder

Location: Remote

Job Type: Contract

Role Overview

As our Marketing AI Agent Builder, you will be the lead architect for our "agentic" marketing stack. Your goal is to move beyond simple automation (if-this-then-that) toward autonomous systems that reason through marketing data, execute multi-channel campaigns, and self-correct based on performance. This is a "Builder" rolepart Engineer, part Strategist, part Data Scientist.

Core Responsibilities

Intelligent Research & Segmentation

Deploy agents to crawl the web for intent signals (hiring changes, funding, news) to

dynamically update ICP segments and enrich CRM records in real-time.

Autonomous Campaign Management

Build agents that independently monitor live campaigns (Search, Social, Email) and

autonomously reallocate budgets or pause underperforming creatives based on real-time ROI.

Dynamic Lead Nurturing

Design agents that use Natural Language Processing (NLP) to "read" prospect behavior

and trigger personalized, multi-step nurture sequences without manual intervention.

Performance & Guardrails

Establish human-in-the-loop protocols and evaluation frameworks to ensure agent

outputs align with brand voice and security standards.

System Orchestration

Connect AI agents to our core stackincluding HubSpot/Salesforce, 6sense, and Google

Analyticsensuring seamless data flow and automated write-backs to the CRM.

Qualifications & Skills

Experience

24 years in Growth Engineering, ideally with experience scaling a mid-market SaaS

revenue engine.

AI Tooling

Proficiency with agent orchestration frameworks (e.g., LangGraph, CrewAI) or low code

builder platforms (e.g., Claude CoWork, CodeX).

Agent Orchestration

Experience with low-code/no-code platforms (e.g., Clay, Zapier Central, Make.com) or

code-based frameworks (e.g., LangGraph, CrewAI).

Prompt Engineering

Ability to design complex reasoning loops that prevent hallucinations and ensure

professional, brand-aligned output.

Data & Integrations

Comfortable working with JSON, APIs, and Retrieval-Augmented Generation (RAG) to

feed agents the right context from the company's internal knowledge base.

Marketing Expertise

Knowledge of B2B buyer journeys, attribution models, and demand generation tactics.

Required Skills

Growth Engineering

LangGraph

CrewAI

Prompt Engineering

Retrieval-Augmented Generation (RAG)

JSON

REST APIs

HubSpot

Salesforce

Google Analytics

6sense

Clay

Zapier Central

Make.com

Human-in-the-loop (HITL) Evaluation

B2B Marketing

Demand Generation

CRM Automation

AI Agent Development

Multi-Agent Orchestration

--------------------------------------------------------------------------------------------------------------

Senior Sales AI Agent Builder

Location: Remote

Contract

About the Role

We are seeking a Senior Sales AI Agent Builder to design, build, and deploy autonomous AI agents that automate and optimize sales workflows. You will develop AI-powered solutions for prospecting, lead qualification, personalized outreach, objection handling, meeting scheduling, and CRM automation. Working closely with Sales, RevOps, and Engineering teams, you will build intelligent systems that improve pipeline generation, sales productivity, and customer engagement.

Key Responsibilities:

Design and build autonomous AI agents for prospecting, lead qualification, outreach,

objection handling, and meeting scheduling.

Develop RAG-powered Sales Knowledge Bases using product documentation, pricing,

FAQs, and competitive intelligence.

Integrate AI agents with Salesforce, HubSpot, Salesloft, Outreach, ZoomInfo, 6sense, and

other sales technologies.

Build prompt engineering strategies, reasoning workflows, and evaluation frameworks to

improve agent performance and accuracy.

Automate CRM updates and maintain high-quality sales data and reporting.

Collaborate with Sales, RevOps, Product, and Engineering teams to deliver scalable AI

solutions.

Continuously monitor, evaluate, and optimize AI agent performance.

Required Qualifications:

4+ years of experience in AI Engineering, Growth Engineering, Sales Engineering,

Solutions Engineering, or RevOps Engineering within a B2B SaaS environment.

Hands-on experience building AI agents and LLM-powered applications.

Experience with LangChain, LangGraph, CrewAI, LlamaIndex, or similar AI

orchestration frameworks.

Strong experience with Retrieval-Augmented Generation (RAG), prompt engineering,

and AI evaluation.

Proficiency in Python, REST APIs, and JSON.

Experience integrating AI solutions with Salesforce or HubSpot and modern sales

engagement platforms (Salesloft, Outreach, Apollo, ZoomInfo, 6sense, etc.).

Strong communication and collaboration skills.

Preferred Qualifications:

Experience building AI SDRs, AI copilots, or autonomous sales agents.

Experience with vector databases (Pinecone, Weaviate, ChromaDB, Milvus, etc.).

Familiarity with OpenAI, Anthropic Claude, or other enterprise LLM platforms.

Experience working in fast-paced SaaS or startup environments.

Top Skills

AI Agent Development

LangChain / LangGraph / CrewAI / LlamaIndex

Retrieval-Augmented Generation (RAG)

Prompt Engineering

Python

REST APIs & JSON

Salesforce / HubSpot

Salesloft / Outreach / Apollo / ZoomInfo / 6sense

Vector Databases (Pinecone, Weaviate, ChromaDB, Milvus)

AI Evaluation & Guardrails

..

Senior AI Engineer Financial Services AI Solutions

About the Role

This is not a traditional software engineering role, nor is it a standard financial analyst position.

This opportunity sits at the intersection of Generative AI, Machine Learning, and Enterprise

Financial Systems.

You will design, build, and deploy AI-powered applicationsincluding AI agents, Retrieval

Augmented Generation (RAG) pipelines, natural language interfaces, and intelligent workflow

automationto solve complex business problems for finance and banking organizations.

You'll partner with business stakeholders to translate financial processes into scalable AI solutions.

Required Qualifications

AI / ML Engineering (Must Have)

Minimum 3+ years of experience building production-grade AI/GenAI applications.

Strong hands-on expertise in:

Python

SQL

LLM orchestration frameworks (LangChain, LlamaIndex, CrewAI, Semantic Kernel,

etc.)

Prompt engineering

Retrieval-Augmented Generation (RAG)

AI Agent development

Vector databases (Pinecone, Weaviate, Milvus, Chroma, FAISS, etc.)

REST APIs and enterprise integrations

Experience deploying AI solutions into production environments

Candidates should have built and supported real-world AI applications beyond proof-of

concepts or chatbot implementations.

Enterprise Systems & Integration (Must Have)

Experience integrating AI solutions with enterprise applications using APIs, databases,

messaging systems, or middleware.

Experience working with cloud platforms such as:

AWS

Azure

GCP

is preferred.

Financial Services Domain (Preferred)

Experience delivering technology solutions for organizations in one or more of the following

industries is preferred:

Banking

Financial Services

FinTech

Insurance

Capital Markets

Payments

Experience supporting business teams such as:

Corporate Finance

FP&A

Revenue Operations

Accounting

Treasury

Risk & Compliance

is considered a strong plus.

Finance Domain Knowledge (Nice to Have)

Working knowledge of common finance concepts is preferred, including:

Budgeting and Forecasting

Financial Reporting

Variance Analysis

ARR / MRR / NRR

Deferred Revenue

Revenue Recognition

Commission & Incentive Compensation

SaaS Metrics

You are not expected to be a finance professional, but you should be comfortable partnering

with finance stakeholders and translating business requirements into AI-driven solutions.

Preferred Enterprise Platforms

Experience with one or more of the following is a plus:

Workday Adaptive Planning

Anaplan

CaptivateIQ

Oracle ERP / EPM

SAP

NetSuite

Salesforce

Snowflake

Keywords: artificial intelligence machine learning information technology
Job opportunity AI AGENT BUILDER MULTIPLE DOMAIN
[email protected]
http://bit.ly/4ey8w48
https://jobs.nvoids.com/job_details.jsp?id=3503952&uid=2cc50e474622454db17bf8ea4ed9a555
[email protected]
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06:30 AM 08-Jul-26


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