

AI Prompt & Agent Developer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Prompt & Agent Developer in New York, NY, offering $80-$85/hour for a contract position. Key skills include prompt engineering, Python programming, and AI frameworks. Familiarity with financial data and compliance is required.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
680
-
ποΈ - Date discovered
August 30, 2025
π - Project duration
Unknown
-
ποΈ - Location type
On-site
-
π - Contract type
Unknown
-
π - Security clearance
Unknown
-
π - Location detailed
New York, NY
-
π§ - Skills detailed
#Programming #Python #Langchain #"ETL (Extract #Transform #Load)" #Azure #TypeScript #Data Science #Cloud #Libraries #Deployment #Datasets #Scala #Automation #Security #JavaScript #ML (Machine Learning) #Data Security #AI (Artificial Intelligence) #Compliance
Role description
Job Number: 25-05060
Use your skills where innovative technology solutions begin. ECLARO is looking for an AI Prompt & Agent Developer for our client in New York, NY.
ECLAROβs client is a leading technology solutions provider, collaborating with customers to manage their needs and achieve success in their business goals. If youβre up to the challenge, then take a chance at this rewarding opportunity!
Position Overview:
β’ A leading hedge fund leveraging advanced technology, data science, and artificial intelligence to gain an edge in global markets.
β’ The team thrives at the intersection of finance, quantitative research, and AI innovation, and expanding the capabilities by hiring an AI Prompt Engineer & Agent Developer.
β’ This role will focus on building cutting-edge AI systems that transform how we analyze markets, automate research, and make decisions.
β’ As an AI Prompt & Agent Developer, will design, optimize, and scale AI systems that directly support alpha generation, risk management, and operational efficiency.
β’ Will work closely with quantitative researchers, portfolio managers, and technologists to embed generative AI into our trading and investment processes.
β’ This is a highly impactful role with visibility across the firm.
Responsibilities:
β’ Prompt Engineering & LLM Optimization:
β’ Create custom prompts tuned for financial applications, including market analysis, portfolio insights, research generation, and automation.
β’ Build evaluation frameworks to ensure results are accurate, reliable, and explainable in a regulated environment.
β’ AI Agent Development:
β’ Architect and deploy autonomous AI agents for research automation, data retrieval, reporting, and quantitative workflow augmentation.
β’ Integrate agents with internal data sources, market APIs, financial models, and knowledge management systems.
β’ Ensure reliability, scalability, and compliance in production-grade agent deployments.
β’ Copilot Integration:
β’ Customize and extend copilots (e.g., MS Copilot) for research, trading technology, and operational use cases.
β’ Enhance productivity for research teams, investment analysts, and technologists.
β’ Cross-Functional Collaboration:
β’ Partner with portfolio managers, quants, and risk teams to identify high-value AI use cases.
β’ Establish prompt libraries and best practices for the secure, responsible use of generative AI across the firm.
β’ Conduct knowledge-sharing sessions to upskill colleagues in AI tools.
Required Qualifications:
β’ Proven experience with prompt engineering and optimization for LLMs.
β’ Strong programming skills (Python essential; JavaScript / TypeScript, a plus).
β’ Hands-on experience with AI frameworks (LangChain, LlamaIndex, RAG pipelines, vector search).
β’ Ability to build and deploy AI agents integrated with APIs and large structured / unstructured datasets.
β’ Experience configuring and extending copilots in professional workflows.
β’ Familiarity with financial data structures, trading technology, or market research workflows.
β’ Knowledge of regulatory considerations, compliance, and data security in financial contexts.
β’ Strong analytical mind, experimental approach, and precision in high-stakes environments.
Preferred Experience:
β’ Background in quantitative finance, machine learning, or data science.
β’ Experience with market data feeds, trading APIs, or financial modeling tools.
β’ Cloud infrastructure experience with Azure.
β’ Exposure to Retrieval-Augmented Generation (RAG), embeddings, and domain-specific model fine-tuning.
Pay Rate: $80 - $85 / Hour
If hired, you will enjoy the following ECLARO Benefits:
β’ 401k Retirement Savings Plan administered by Merrill Lynch
β’ Commuter Check Pretax Commuter Benefits
β’ Eligibility to purchase Medical, Dental & Vision Insurance through ECLARO
If interested, you may contact:
Tim Cusick
Tim.cusick@eclaro.com
646-755-9317
Tim Cusick | LinkedIn
Equal Opportunity Employer: ECLARO values diversity and does not discriminate based on Race, Color, Religion, Sex, Sexual Orientation, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status, in compliance with all applicable laws.
Job Number: 25-05060
Use your skills where innovative technology solutions begin. ECLARO is looking for an AI Prompt & Agent Developer for our client in New York, NY.
ECLAROβs client is a leading technology solutions provider, collaborating with customers to manage their needs and achieve success in their business goals. If youβre up to the challenge, then take a chance at this rewarding opportunity!
Position Overview:
β’ A leading hedge fund leveraging advanced technology, data science, and artificial intelligence to gain an edge in global markets.
β’ The team thrives at the intersection of finance, quantitative research, and AI innovation, and expanding the capabilities by hiring an AI Prompt Engineer & Agent Developer.
β’ This role will focus on building cutting-edge AI systems that transform how we analyze markets, automate research, and make decisions.
β’ As an AI Prompt & Agent Developer, will design, optimize, and scale AI systems that directly support alpha generation, risk management, and operational efficiency.
β’ Will work closely with quantitative researchers, portfolio managers, and technologists to embed generative AI into our trading and investment processes.
β’ This is a highly impactful role with visibility across the firm.
Responsibilities:
β’ Prompt Engineering & LLM Optimization:
β’ Create custom prompts tuned for financial applications, including market analysis, portfolio insights, research generation, and automation.
β’ Build evaluation frameworks to ensure results are accurate, reliable, and explainable in a regulated environment.
β’ AI Agent Development:
β’ Architect and deploy autonomous AI agents for research automation, data retrieval, reporting, and quantitative workflow augmentation.
β’ Integrate agents with internal data sources, market APIs, financial models, and knowledge management systems.
β’ Ensure reliability, scalability, and compliance in production-grade agent deployments.
β’ Copilot Integration:
β’ Customize and extend copilots (e.g., MS Copilot) for research, trading technology, and operational use cases.
β’ Enhance productivity for research teams, investment analysts, and technologists.
β’ Cross-Functional Collaboration:
β’ Partner with portfolio managers, quants, and risk teams to identify high-value AI use cases.
β’ Establish prompt libraries and best practices for the secure, responsible use of generative AI across the firm.
β’ Conduct knowledge-sharing sessions to upskill colleagues in AI tools.
Required Qualifications:
β’ Proven experience with prompt engineering and optimization for LLMs.
β’ Strong programming skills (Python essential; JavaScript / TypeScript, a plus).
β’ Hands-on experience with AI frameworks (LangChain, LlamaIndex, RAG pipelines, vector search).
β’ Ability to build and deploy AI agents integrated with APIs and large structured / unstructured datasets.
β’ Experience configuring and extending copilots in professional workflows.
β’ Familiarity with financial data structures, trading technology, or market research workflows.
β’ Knowledge of regulatory considerations, compliance, and data security in financial contexts.
β’ Strong analytical mind, experimental approach, and precision in high-stakes environments.
Preferred Experience:
β’ Background in quantitative finance, machine learning, or data science.
β’ Experience with market data feeds, trading APIs, or financial modeling tools.
β’ Cloud infrastructure experience with Azure.
β’ Exposure to Retrieval-Augmented Generation (RAG), embeddings, and domain-specific model fine-tuning.
Pay Rate: $80 - $85 / Hour
If hired, you will enjoy the following ECLARO Benefits:
β’ 401k Retirement Savings Plan administered by Merrill Lynch
β’ Commuter Check Pretax Commuter Benefits
β’ Eligibility to purchase Medical, Dental & Vision Insurance through ECLARO
If interested, you may contact:
Tim Cusick
Tim.cusick@eclaro.com
646-755-9317
Tim Cusick | LinkedIn
Equal Opportunity Employer: ECLARO values diversity and does not discriminate based on Race, Color, Religion, Sex, Sexual Orientation, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status, in compliance with all applicable laws.