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Qualifications

• To thrive in this position, you should possess expert-level financial reasoning and formal training in finance

• Suitable backgrounds include but are not limited to Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning

• Fluency in English (native or bilingual)

• Detail-oriented and analytical

• Proficient in financial analysis, modeling, data analysis, and reasoning exercises related to finance management

• 2 more items(s)

Benefits

• This versatile role is suitable for various lifestyles, whether you're looking for part-time work alongside another position, a full-time commitment, or a flexible professional opportunity

• This role can be full-time or part-time

• You will have the freedom to choose your projects

• Enjoy the flexibility to work on your own schedule

• Compensation starts at USD $50-$60 per hour, with potential bonuses for high-quality and high-volume work

• 2 more items(s)

Responsibilities

• Review and enhance AI Assistant responses related to macro trends, corporate finance, and capital markets

• Utilize your education and experience to assess the reasoning and accuracy of AI outputs

• Challenge the models with complex, real-world scenarios to identify strengths and weaknesses in their reasoning

• Provide clear, structured feedback to improve the AI's intelligence and reliability

• Pose diverse and complex challenges to AI chatbots and evaluate their responses

• Assess the performance and accuracy of the outputs generated by AI models

• 3 more items(s)

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Job description

DataAnnotation is dedicated to delivering high-quality AI solutions. We invite you to join our innovative team to help train the next generation of AI while enjoying the flexibility of remote work and the ability to set your own schedule. This versatile role is suitable for various lifestyles, whether you're looking for part-time work alongside another position, a full-time commitment, or a flexib...le professional opportunity. We are excited to expand our services by enhancing AI Assistant models to become more effective tools for finance professionals.

We are seeking highly skilled finance professionals with advanced degrees (MBA+) and relevant experience to help shape how AI interprets financial principles and decision-making. As our team grows, so will your opportunities. In this role, you may:

• Review and enhance AI Assistant responses related to macro trends, corporate finance, and capital markets.

• Utilize your education and experience to assess the reasoning and accuracy of AI outputs.

• Challenge the models with complex, real-world scenarios to identify strengths and weaknesses in their reasoning.

• Provide clear, structured feedback to improve the AI's intelligence and reliability.

To thrive in this position, you should possess expert-level financial reasoning and formal training in finance. A Master's or PhD (completed or in progress) is strongly preferred. Suitable backgrounds include but are not limited to Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning.

Benefits:

• This role can be full-time or part-time.

• You will have the freedom to choose your projects.

• Enjoy the flexibility to work on your own schedule.

• Compensation starts at USD $50-$60 per hour, with potential bonuses for high-quality and high-volume work.

Responsibilities:

• Pose diverse and complex challenges to AI chatbots and evaluate their responses.

• Assess the performance and accuracy of the outputs generated by AI models.

Qualifications:

• Fluency in English (native or bilingual).

• Detail-oriented and analytical.

• Proficient in financial analysis, modeling, data analysis, and reasoning exercises related to finance management.

• A Master’s degree and/or PhD is preferred but not mandatory.

Note: Payment will be made via PayPal. We will never ask for any money from you, and PayPal will handle any currency conversions from USD. This is an independent contractor position.

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Qualifications

• You speak EE, ME, and embedded software well enough to push back on a designer when their part choice creates a sourcing or yield nightmare

• Professional working fluency in Mandarin or Cantonese

• Equivalent experience means you have personally taken multiple products from prototype to volume production, even if your title did not always say so

• Hands on BOM ownership of a product with 100+ line items, taken from prototype through volume production

• Direct, recent experience qualifying and managing EMS or ODM partners in Asia (Shenzhen, Dongguan, Suzhou, Taiwan, or Vietnam)

• You can name the CMs you have worked with and the products you shipped with them

• You can read a schematic, redline a mechanical drawing, and have an opinion about an FAI report

• Willingness to travel internationally

• Valid US driver's license

• San Diego based or willing to relocate

• Prior seed to Series A hardware startup experience

• You have personally taken a product from zero to first customer shipment

• ADAS, dashcam, telematics, or other in vehicle electronics experience

• Existing relationships with EMS partners, PCBA houses, plastics vendors, or component distributors in Asia

• SoM and carrier board architectures, camera modules, or optical tuning supply chains

• APICS CPIM or CSCP, or equivalent

• Useful, but does not substitute for hands on experience

• 14 more items(s)

Benefits

• The product, so you can self select

• Small electronic device: SoM based compute, camera modules, sensors, plastic enclosure, cable assemblies, packaging

• BOM in the low to mid hundreds of line items

• BOM cost in the low hundreds of dollars per unit

• Annual volume scaling from low thousands toward tens of thousands of units in years one and two

• 5+ years (or equivalent shipping experience) owning manufacturing or NPI for small electronic or electromechanical products: consumer electronics, IoT, in cabin automotive electronics, sub $2,000 medical devices, prosumer hardware

• Multi week trips to Asia during NPI and ramp are part of the job

• Base: $135,000 to $155,000 depending on experience

• Equity: meaningful early stage grant

• Health, dental, vision

• Relocation assistance for the right candidate

• 8 more items(s)

Responsibilities

• You are the bridge between our engineering team and our manufacturing partners

• You will own purchasing, but it is downstream of the real work, which is turning engineering intent into a manufacturable, testable, shippable product, and then keeping that product flowing

• You will own the BOM, drive NPI through pilot and production ramp, run our CM relationship in Asia, and be the person the CEO and engineering leads turn to for ground truth on cost, yield, lead time, capacity, and risk

• Be the technical interface between engineering (EE, ME, embedded) and our CM

• Translate design intent into manufacturable reality and drive DFM and DFT feedback back into engineering

• Drive NPI: EVT, DVT, PVT builds, yield ramp, test station bring up, first article inspections

• Own the BOM: part numbering, revisioning, ECO process, AVL, alternates, lifecycle management

• Source components, qualify suppliers, and negotiate pricing, with priority on critical, long lead, and sole sourced items

• Manage our existing CM in Asia through ramp, and qualify the next CM partner as we scale

• Live on factory floors during builds, domestically and internationally, often, in person

• Set and hit targets for landed cost, DPPM, OTD, FPY, and inventory turns

• Build supplier scorecards, dual source critical components, and forecast component demand against the sales pipeline

• Own logistics, customs, freight, and the path from finished goods to dealer receiving dock

• 10 more items(s)

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Job description

The role

You are the bridge between our engineering team and our manufacturing partners. You speak EE, ME, and embedded software well enough to push back on a designer when their part choice creates a sourcing or yield nightmare. You speak factory floor well enough to walk an SMT line in Shenzhen and know whether the operator is doing it right.

This is not a procurement role. We are not looking ...for someone whose primary skill is issuing POs, managing supplier portals, or running ERP. You will own purchasing, but it is downstream of the real work, which is turning engineering intent into a manufacturable, testable, shippable product, and then keeping that product flowing.

You will own the BOM, drive NPI through pilot and production ramp, run our CM relationship in Asia, and be the person the CEO and engineering leads turn to for ground truth on cost, yield, lead time, capacity, and risk. If a component has a 40 week lead time and nobody flagged it, that is on you. If a CM misses a DPPM target, that is on you. If we ship on time, that is on you too.

The product, so you can self select

• Small electronic device: SoM based compute, camera modules, sensors, plastic enclosure, cable assemblies, packaging

• BOM in the low to mid hundreds of line items

• BOM cost in the low hundreds of dollars per unit

• Annual volume scaling from low thousands toward tens of thousands of units in years one and two

• Manufactured at an EMS in Asia today; North American final assembly and test on the roadmap

If you have run manufacturing for cars, aircraft, ships, satellites, buildings, oil and gas equipment, or any other multi million dollar capital good, this is not the right role for you. The cadence, decision making, supplier landscape, and unit economics are entirely different. We will not interview for that experience.

What you will do

• Be the technical interface between engineering (EE, ME, embedded) and our CM. Translate design intent into manufacturable reality and drive DFM and DFT feedback back into engineering.

• Drive NPI: EVT, DVT, PVT builds, yield ramp, test station bring up, first article inspections.

• Own the BOM: part numbering, revisioning, ECO process, AVL, alternates, lifecycle management.

• Source components, qualify suppliers, and negotiate pricing, with priority on critical, long lead, and sole sourced items.

• Manage our existing CM in Asia through ramp, and qualify the next CM partner as we scale.

• Live on factory floors during builds, domestically and internationally, often, in person.

• Set and hit targets for landed cost, DPPM, OTD, FPY, and inventory turns.

• Build supplier scorecards, dual source critical components, and forecast component demand against the sales pipeline.

• Own logistics, customs, freight, and the path from finished goods to dealer receiving dock.

Required

• Professional working fluency in Mandarin or Cantonese. Non negotiable. You will be the only person in the room who can follow what is actually being said. Hard filter, see top of post.

• 5+ years (or equivalent shipping experience) owning manufacturing or NPI for small electronic or electromechanical products: consumer electronics, IoT, in cabin automotive electronics, sub $2,000 medical devices, prosumer hardware. Not aerospace, not automotive OEM, not heavy equipment, not industrial machinery, not construction. Equivalent experience means you have personally taken multiple products from prototype to volume production, even if your title did not always say so.

• Hands on BOM ownership of a product with 100+ line items, taken from prototype through volume production.

• Direct, recent experience qualifying and managing EMS or ODM partners in Asia (Shenzhen, Dongguan, Suzhou, Taiwan, or Vietnam). You can name the CMs you have worked with and the products you shipped with them.

• You can read a schematic, redline a mechanical drawing, and have an opinion about an FAI report.

• Willingness to travel internationally. Multi week trips to Asia during NPI and ramp are part of the job.

• Valid US driver's license.

• San Diego based or willing to relocate. On site at our office.

Strong plus

• Prior seed to Series A hardware startup experience. You have personally taken a product from zero to first customer shipment.

• ADAS, dashcam, telematics, or other in vehicle electronics experience.

• Existing relationships with EMS partners, PCBA houses, plastics vendors, or component distributors in Asia.

• SoM and carrier board architectures, camera modules, or optical tuning supply chains.

• APICS CPIM or CSCP, or equivalent. Useful, but does not substitute for hands on experience.

Compensation

• Base: $135,000 to $155,000 depending on experience

• Equity: meaningful early stage grant

• Health, dental, vision

• Relocation assistance for the right candidate

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Qualifications

• The candidate must demonstrate strong AI + AWS cloud expertise, with proven experience delivering enterprise-grade AI solutions in production environments

• Hallucination rates

• Python (primary)

• 10+ years of overall engineering experience

• 5+ years of hands-on AI/ML / GenAI development in production environments

• Strong experience building:

• AI agents (minimum 2+ implementations)

• GraphRAG systems (minimum 2+ implementations)

• MCP-based integrations (minimum 1+)

• Proven expertise in:

• Multi-agent orchestration

• RAG pipelines

• Agent and RAG evaluation frameworks

• Strong programming skills in:

• Python (must-have)

• Experience with:

• API development and system integration

• Strong experience with:

• AWS cloud platform (must-have)

• 16 more items(s)

Responsibilities

• This role is not a pure management role the ideal candidate will actively design, build, and scale AI systems (RAG, agents, evaluation frameworks) while leading engineering initiatives and influencing platform

• AI System Design & Development

• Design and build production-grade GenAI systems, including:

• Retrieval-Augmented Generation (RAG) pipelines

• GraphRAG implementations

• Autonomous agent workflows and orchestration

• Develop and integrate AI agents with tools, APIs, and enterprise systems

• Implement MCP-based agent communication and tool-use frameworks

• Apply advanced prompt engineering techniques for reliability and performance

• Build and deploy multi-agent orchestration systems

• Develop and implement:

• Agent evaluation frameworks

• RAG evaluation pipelines

• Measure and optimize:

• Continuously improve models through evaluation-driven iteration

• Engineering & Platform Development

• Develop APIs and services using:

• Build scalable AI services with:

• REST APIs

• Microservices architecture

• Contribute to web-based AI applications using:

• Integrate AI systems into enterprise workflows and applications

• Cloud & Infrastructure (AWS Focus)

• Design and deploy AI solutions on AWS, leveraging:

• Lambda, S3, EC2, EKS, Glue, SNS, SQS

• Kafka-based streaming architectures

• Build scalable and secure AI pipelines using cloud-native patterns

• Implement cost-efficient and high-performance AI workloads

• DevOps & CI/CD

• Design and implement CI/CD pipelines using GitHub Actions

• Integrate AI workflows into CI/CD pipelines with strong AWS integration

• Ensure:

• Automated deployment

• Testing and validation of AI systems

• Continuous monitoring and iteration

• AI Development Tooling

• Leverage modern AI development tools and ecosystems, including:

• Claude (Claude API / Claude Code)

• Cursor AI (AI-assisted development workflows)

• Build and optimize developer workflows using AI-assisted coding tools

• 37 more items(s)

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Job description

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Reveille Technologies, is seeking the following. Apply via Dice today!

We are seeking a highly hands-on AI Engineering leader with deep expertise in Generative AI, Agentic systems, and production-grade AI platforms.

This role is not a pure management role the ideal candidate will actively design,... build, and scale AI systems (RAG, agents, evaluation frameworks) while leading engineering initiatives and influencing platform

Role Overview

The candidate must demonstrate strong AI + AWS cloud expertise, with proven experience delivering enterprise-grade AI solutions in production environments.

Core Responsibilities

AI System Design & Development

• Design and build production-grade GenAI systems, including:

• Multi-agent architectures

• Retrieval-Augmented Generation (RAG) pipelines

• GraphRAG implementations

• Autonomous agent workflows and orchestration

• Develop and integrate AI agents with tools, APIs, and enterprise systems

• Implement MCP-based agent communication and tool-use frameworks

• Apply advanced prompt engineering techniques for reliability and performance

Agentic AI & Evaluation

• Build and deploy multi-agent orchestration systems

• Develop and implement:

• Agent evaluation frameworks

• RAG evaluation pipelines

• Measure and optimize:

• Output quality

• Hallucination rates

• Relevance and groundedness

• Continuously improve models through evaluation-driven iteration

Engineering & Platform Development

• Develop APIs and services using:

• Python (primary)

• .NET (preferred)

• Build scalable AI services with:

• REST APIs

• Microservices architecture

• Contribute to web-based AI applications using:

• Angular / TypeScript (preferred)

• Integrate AI systems into enterprise workflows and applications

Cloud & Infrastructure (AWS Focus)

• Design and deploy AI solutions on AWS, leveraging:

• Lambda, S3, EC2, EKS, Glue, SNS, SQS

• Kafka-based streaming architectures

• Build scalable and secure AI pipelines using cloud-native patterns

• Implement cost-efficient and high-performance AI workloads

DevOps & CI/CD

• Design and implement CI/CD pipelines using GitHub Actions

• Integrate AI workflows into CI/CD pipelines with strong AWS integration

• Ensure:

• Automated deployment

• Testing and validation of AI systems

• Continuous monitoring and iteration

AI Development Tooling

• Leverage modern AI development tools and ecosystems, including:

• Claude (Claude API / Claude Code)

• Cursor AI (AI-assisted development workflows)

• Build and optimize developer workflows using AI-assisted coding tools

Required Qualifications

• 10+ years of overall engineering experience

• 5+ years of hands-on AI/ML / GenAI development in production environments

• Strong experience building:

• AI agents (minimum 2+ implementations)

• GraphRAG systems (minimum 2+ implementations)

• MCP-based integrations (minimum 1+)

• Proven expertise in:

• Multi-agent orchestration

• RAG pipelines

• Agent and RAG evaluation frameworks

• Strong programming skills in:

• Python (must-have)

• Experience with:

• API development and system integration

• Strong experience with:

• AWS cloud platform (must-have)

Preferred Qualifications

• Experience with:

• .NET / C# development

• Terraform (Infrastructure as Code)

• Experience building:

• Web applications using Angular / TypeScript

• Familiarity with:

• Kafka-based streaming systems

• Exposure to:

• Advanced AI orchestration frameworks (LangChain, LangGraph, etc.)

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Qualifications

• No special degrees or background necessary, but you must have the desire to learn

• Active user and interest in AI platforms

• Motivated, ambitious and resourceful

Benefits

• Pay: $50,000.00 - $100,000.00 per year

Responsibilities

• Full-time opportunity to develop AI systems for our databases, web app, and mobile app

• Help design, develop and implement AI-driven solutions tailored to improving operations

• Work directly with our the founders and chief of staff

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Job description

Company Description

Service In is a modern services company. Service In provides painting, cleaning and floor-care services for 500+ commercial clients in the Southeast and we're looking to bring on smart and ambitious developers to our team! All of our software has already been developed in-house, but we are always looking to improve our systems to better serve our clients.

Role Description

• F...ull-time opportunity to develop AI systems for our databases, web app, and mobile app

• Help design, develop and implement AI-driven solutions tailored to improving operations

• Work directly with our the founders and chief of staff

Qualifications

• No special degrees or background necessary, but you must have the desire to learn

• Active user and interest in AI platforms

• Motivated, ambitious and resourceful

Pay: $50,000.00 - $100,000.00 per year

Location:

• Raleigh, NC 27601 (Required)

Work Location: In person

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Qualifications

• The ideal candidate combines technical depth with strong communication skills and the ability to translate ambiguous business questions into scalable, production ready solutions

• Hands on experience with Databricks and Apache Spark (PySpark, SQL, Delta Lake, Unity Catalog)

• Familiarity with modern engineering practices and tooling, such as CI/CD pipelines, infrastructure as code, experimentation frameworks, and data governance

• Strong communication and collaboration skills, with the ability to work effectively with technical and non technical stakeholders

• 1 more items(s)

Responsibilities

• This role partners closely with traders and trading analysts to design and deliver AI powered analytical solutions using large scale market and fundamentals data

• Hybrid work model with close collaboration alongside trading and analytics teams

• Fast paced, iterative development approach-prototype quickly, refine with user feedback, and harden solutions for production

• Strong focus on operational excellence, including secure CI/CD practices, automated testing, and production reliability

• Design, develop, and deliver AI driven analytics for front office use cases, including seasonality analysis, correlation, regression, forecasting, and scenario modeling

• Build and maintain scalable, reusable data pipelines using Databricks and Spark (PySpark, SQL, Delta Lake, Unity Catalog)

• Perform statistical and econometric analyses on large, complex datasets such as market pricing and fundamental time series data

• Collaborate directly with business stakeholders to gather requirements, clarify objectives, and communicate insights effectively

• Develop and integrate LLM based and agentic workflows, including prompt engineering, orchestration, retrieval, and guardrails

• Productionize solutions with appropriate testing, observability, documentation, and version control

• Strong data engineering experience, including data ingestion, modeling, orchestration, and performance optimization

• Solid foundation in statistics, economics, or data science, particularly related to time series analysis

• Experience implementing LLM based solutions, including prompt design, retrieval workflows, and agent frameworks

• 10 more items(s)

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Job description

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Aroha Technologies, is seeking the following. Apply via Dice today!

Job Title: AI Engineer Trading Analytics & Data Engineering

Location: Houston, TX (Hybrid)

Employment Type: Contract (7 months, with potential extension)

About The Role

We are seeking an AI Engineer with a strong foundation in... data engineering and applied analytics to support trading and market analytics use cases. This role partners closely with traders and trading analysts to design and deliver AI powered analytical solutions using large scale market and fundamentals data.

The ideal candidate combines technical depth with strong communication skills and the ability to translate ambiguous business questions into scalable, production ready solutions.

Ways of Working

• Hybrid work model with close collaboration alongside trading and analytics teams

• Fast paced, iterative development approach-prototype quickly, refine with user feedback, and harden solutions for production

• Strong focus on operational excellence, including secure CI/CD practices, automated testing, and production reliability

Key Responsibilities

• Design, develop, and deliver AI driven analytics for front office use cases, including seasonality analysis, correlation, regression, forecasting, and scenario modeling

• Build and maintain scalable, reusable data pipelines using Databricks and Spark (PySpark, SQL, Delta Lake, Unity Catalog)

• Perform statistical and econometric analyses on large, complex datasets such as market pricing and fundamental time series data

• Collaborate directly with business stakeholders to gather requirements, clarify objectives, and communicate insights effectively

• Develop and integrate LLM based and agentic workflows, including prompt engineering, orchestration, retrieval, and guardrails

• Productionize solutions with appropriate testing, observability, documentation, and version control

• Required Qualifications

• Hands on experience with Databricks and Apache Spark (PySpark, SQL, Delta Lake, Unity Catalog)

• Strong data engineering experience, including data ingestion, modeling, orchestration, and performance optimization

• Solid foundation in statistics, economics, or data science, particularly related to time series analysis

• Experience implementing LLM based solutions, including prompt design, retrieval workflows, and agent frameworks

• Familiarity with modern engineering practices and tooling, such as CI/CD pipelines, infrastructure as code, experimentation frameworks, and data governance

• Strong communication and collaboration skills, with the ability to work effectively with technical and non technical stakeholders

Preferred Qualifications

• Experience in commodity trading, financial trading, or energy markets

• Familiarity with market microstructure, supply demand fundamentals, and risk management concepts

• Exposure to MLOps tooling, feature stores, vector databases, and model lifecycle management

Equal Opportunity Statement

• We are an equal opportunity employer and value diversity at all levels of the organization.

• All qualified applicants will be considered without regard to race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, disability, veteran status, or any other legally protected status.

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Intern, Artificial Intelligence (AI)

Zero to AI Engineer