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Associate Ai Agent Developer Jobs in New York (NOW HIRING)

As an AI Agent Developer, you will design, develop, and deploy intelligent AI agents that enhance client experience and operational efficiency. You will collaborate across teams to build scalable AI ...

AI Agent Engineer About Valitana Valitana is a rapidly growing FinTech company delivering cutting-edge SaaS solutions to institutional investors. Founded in 2017, our platform provides advanced ...

AI Agent Engineer

Stamford, CT · On-site

$16 - $21.25/hr

Position Overview Valitana is hiring its first dedicated AI Agent Engineer -- a founding role that will define how artificial intelligence is designed, built, and governed across our platforms. This ...

AI Tools The Role The client needs an AI Agent Engineer to build and own its voice-AI agent infrastructure end to end on LiveKit -- the orchestration layer, the prompting strategy across millions of ...

Description iSoftStone, Inc. is seeking an Associate AI Developer to join our Team In New York, NY ... Contribute to agent workflows and tool-use orchestration using frameworks such as LangChain, with ...

iSoftStone, Inc. is seeking an Associate AI Developer to join our Team In New York, NY, Seattle, WA ... Contribute to agent workflows and tool-use orchestration using frameworks such as LangChain, with ...

iSoftStone, Inc. is seeking an Associate AI Developer to join our Team In New York, NY, Seattle, WA ... Contribute to agent workflows and tool-use orchestration using frameworks such as LangChain, with ...

As an AI Agent Engineer, you'll identify workflows that are repetitive, manual, or unnecessarily complex and redesign them as AI-powered systems that meaningfully change how we operate. That might ...

As an AI Agent Engineer, you'll identify workflows that are repetitive, manual, or unnecessarily complex and redesign them as AI-powered systems that meaningfully change how we operate. That might ...

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Associate Ai Agent Developer information

What is the difference between Associate Ai Agent Developer vs Machine Learning Engineer?

AspectAssociate Ai Agent DeveloperMachine Learning Engineer
Required CredentialsBachelor's in CS, AI, or related field; some certificationsBachelor's or Master's in CS, Data Science, or related; advanced certifications
Work EnvironmentTech companies, AI startups, R&D labsTech firms, AI companies, research institutions
Employer & Industry UsageDevelops AI agents, chatbots, virtual assistantsDesigns ML models, algorithms, data pipelines
Common Search & ComparisonOften compared for entry-level AI rolesMore advanced, research-focused roles

The Associate Ai Agent Developer typically focuses on building and maintaining AI agents like chatbots and virtual assistants, often at an entry to mid-level. In contrast, a Machine Learning Engineer develops complex ML models and algorithms, usually requiring more advanced skills and experience. Both roles are vital in AI development but differ in scope, complexity, and specialization.

What are the most commonly searched types of Ai Agent Developer jobs in New York? The most popular types of Ai Agent Developer jobs in New York are:
What are popular job titles related to Associate Ai Agent Developer jobs in New York? For Associate Ai Agent Developer jobs in New York, the most frequently searched job titles are:
What job categories do people searching Associate Ai Agent Developer jobs in New York look for? The top searched job categories for Associate Ai Agent Developer jobs in New York are:
What cities in New York are hiring for Associate Ai Agent Developer jobs? Cities in New York with the most Associate Ai Agent Developer job openings:

AI Agent Developer BA Specialization

Accord Technologies Inc.

Warren, NJ • On-site

Contractor

Re-posted 23 days ago


Job description

Title: 
AI Agent Developer – BA Specialization
Location: Warren, NJ
Position type: W2 contract
 

Overview:
We are looking for a Business Analyst (BA) domain expert with a proven track record in AI/agent development. You will design and implement AI-powered BA agents capable of requirement elicitation, documentation, user story generation, mapping business flows, and stakeholder support. You’ll combine hands-on agent development with a deep understanding of the BA role to radically enhance digital transformation initiatives.

Key Responsibilities

  • Analyze current BA processes and design agentic solutions to support or automate needs assessment, requirement documentation, and workflow modeling.
  • Architect, build, and optimize BA agents (using LLM and agent frameworks such as LangChain, LlamaIndex, OpenAI, or similar).
  • Engineer prompt chains and context augmentation for LLMs to handle stakeholder queries, document requirements, and draft process flows or business rules.
  • Integrate agents with collaboration tools (Confluence, Jira, Azure DevOps, Slack, etc.) to enhance business process documentation and traceability.
  • Work with BA and product teams to curate domain-specific corpora, refine agent behavior, and validate outputs.
  • Evaluate agent accuracy, relevance, and utility with real-world BA tasks and continuous feedback loops.
  • Track and optimize agent adoption, report metrics, and document design and operational best practices.

Required Skills & Qualifications

  • Bachelor’s or Master’s degree in Information Systems, Business, Computer Science, or related field.
  • 3+ years as a Business Analyst, Product Owner, Requirements Engineer, or Process Analyst.
  • 1+ years developing or deploying AI/LLM-based applications, chatbots, or workflow automation.
  • Proficient in Python (must); experience with JavaScript/TypeScript or other programming languages is a plus.
  • Demonstrated skill using agent and LLM frameworks: LangChain, LlamaIndex, OpenAI APIs, Vertex AI, etc.
  • Strong background in business process mapping, requirements engineering, and documentation standards.
  • Excellent communication and ability to translate BA logic into functional agent design and actionable code.

Bonus/Preferred Skills

  • Built or co-developed AI/LLM-powered tools for requirements gathering, process analysis, or workflow automation.
  • Experience with prompt engineering, fine-tuning LLM agents, or Retrieval-Augmented Generation (RAG).
  • Familiarity with agent orchestration frameworks (e.g., CrewAI, AutoGen).
  • Published work or open-source contributions in “AI for business analysis” or related areas.