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1mo ago

Applied AI Engineer

Cognition AI Sydney, FL 🇺🇸 Remote

Sydney, FL

1mo ago Closed

$180k - $225k/yr Full time Backend Developer Agentic Ai Ai Automation

This position is no longer accepting applications (closed Sep 9, 2026).

Job Description

Cognition AI is modernizing how enterprise teams build and ship software, and the Applied AI Engineer role sits at the center of that work. In this position, you operationalize AI modernization by driving adoption of Devin, embedding with engineering groups, and integrating agentic workflows that support measurable productivity improvements.

Beyond deployment, you help shape a repeatable way to deliver value: turning customer engagements into playbooks, best practices, and enablement materials that can scale across accounts.

What you’ll do

Embed with enterprise engineering teams to drive deep, lasting adoption of Devin, owning outcomes beyond onboarding
Architect and implement agentic workflows across engineering, QA, support, data, and product, identifying where AI provides the highest leverage and building toward it
Lead interactive programs for enterprise engineering teams, including live workshops and pair programming sessions
Guide customers through installing, configuring, and optimizing Devin and associated tools such as DeepWiki and MCP integrations
Pair-program on live production problems to demonstrate high-value usage patterns and accelerate applied AI fluency
Quantify impact by tracking productivity metrics, surfacing ROI stories, and making the business case for expanding Devin within accounts
Partner with leadership to scale field learnings into structured playbooks and best practices that go beyond individual engagements
Create enablement materials, best practices, and shared playbooks grounded in customer learnings

What you bring

Degree in a STEM field or equivalent hands-on experience
3+ years in software engineering, technical consulting, deployment strategy, forward deployed engineering, solutions engineering, or a similar role, with strong coding proficiency in Python, JavaScript/TypeScript, or similar languages
Proven ability to communicate complex technical topics to diverse audiences
Track record of driving technical adoption and measurable impact within engineering organizations
Strong commercial instincts and an account-oriented approach to engagement growth
Excellent verbal and written communication skills
Demonstrated ability to learn and adapt exceptionally fast

Tools you’ll work with

Devin
Python
JavaScript/TypeScript
DeepWiki
MCP

Compensation

Estimated Base Salary: USD 180,000 - 225,000 per year. Offers equity.

Location

Sydney, FL (remote)

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1mo ago

Senior Ai Engineer

Powerfront Remote 🌍 Remote

Remote

1mo ago Closed

Full time Backend Developer Senior Ai Engineer

This position is no longer accepting applications (closed Sep 9, 2026).

Job Description

Powerfront is building the INSIDE™ AI Customer Visual Engagement Platform to advance retail technology through practical, high-impact AI. Join a forward-thinking team with a virtual workforce that stays remote while remaining highly collaborative. You will work on AI features that support real customer experiences, partnering with product, design, and engineering to deliver outcomes at scale.

What You’ll Do

As a Senior AI Engineer, you will design, develop, and integrate AI models and GPT/LLM capabilities into Powerfront’s core SaaS platform. Your work will include building features such as intelligent chatbots, automated ticket routing, sentiment analysis, personalized recommendations, and proactive customer support.

Develop and integrate AI solutions that leverage GPT and large language models (LLMs) to power core product experiences.
Implement Tool Calling within GPT integrations, connecting AI models to external tools and APIs for more complex interactions.
Use data analysis on large datasets spanning customer interactions, product information, and retail transactions to identify trends and insights that guide training and optimization.
Build systems with Vector Databases for embeddings-based similarity search and context management; work with Graph Databases and RAG (Retrieval-Augmented Generation) is highly desirable.
Design and implement AI-powered services using serverless technologies, primarily Cloudflare Workers and AWS Lambda, with a focus on scalable, efficient, and cost-effective delivery.
Monitor, evaluate, and continuously optimize AI model and integration performance for accuracy, efficiency, and scalability.
Collaborate with product managers, UX designers, and other engineers to translate business requirements into technical specifications and high-quality AI features.
Stay current with advancements in AI, machine learning, and NLP and identify opportunities to incorporate new approaches.

What You Bring

Demonstrated experience building and deploying AI solutions, with strong focus on GPT integrations and Tool Calling.
Strong experience with Vector Databases; Graph Databases and RAG implementation are highly desirable, plus familiarity with SQL Server or Postgres SQL.
Experience with serverless technologies, specifically Cloudflare Workers.
Proficiency with REST APIs and TypeScript, JavaScript, CSS, and HTML; C# .NET Core is a strong plus.
Understanding of AI risk assessment, including configuring Guardrails and familiarity with common attack methods against AI systems, such as adversarial attacks and data poisoning.
Strong data analysis skills and proven ability to derive insights from large datasets; experience in the retail sector and understanding of retail customer journeys is essential.
Excellent problem-solving and analytical skills, with the ability to address complex technical challenges quickly.
Strong communication and collaboration skills in a team environment.
Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Master’s degree or PhD is preferred but not required if significant practical experience is demonstrated.

Benefits

Dynamic & forward-thinking organization revolutionizing retail technology.
Virtual workforce, remote but highly interactive and collaborative.
Competitive salary and benefits.
Part of an amazing culture with high client and staff retention.
Opportunity to take pride in partnering with prestigious brands.
Career progression and longevity.

Additional Desired Qualifications

Experience with SPARQL or Gremlin query languages for graph databases.
Experience with major cloud platforms: AWS, Azure, or GCP.
Contributions to open-source AI projects.
Experience working in an Agile development environment.
Experience developing B2C SaaS products, especially in customer service.

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1mo ago

Audio AI Engineer

Dev Technology Reston, VA

Reston, VA

1mo ago Closed

$80k - $160k/yr Full time Ai Engineer Artificial Intelligence Asr

This position is no longer accepting applications (closed Sep 9, 2026).

Job Description

Dev Technology is building a multilingual audio foundation to power a mobile translation experience that runs performantly on an iPhone. In this onsite role in Reston, VA, you will develop and improve a speech-to-text core, with ownership spanning multilingual ASR data, model adaptation for constrained devices, and reproducible evaluation of real-world quality.

What you’ll do

Ingest, clean, segment, label, and version multilingual audio and transcript datasets, with specific attention to code-switching and borrowed-word behavior across the target language set.
Fine-tune and compress large ASR models to meet iPhone-class memory, latency, and battery constraints while preserving transcription quality, using approaches such as LoRA/QLoRA, quantization, distillation, or other parameter-efficient and size-reduction techniques as needed.
Create model packaging that supports selecting and downloading language-specific weights on demand based on operator context (for example, pulling only Chinese ASR weights for a Chinese-speaking interview).
Build model behavior and evaluation around when to transcribe a borrowed English term as-is versus rendering it via transliteration or a native equivalent in the source language.
Develop reproducible evaluation pipelines that measure word/character error rate, latency, and robustness to factors including accent, noise, speaking rate, and code-switching, and report results against defined success criteria per language and deployment target.
Write clear model cards, dataset documentation, and evaluation write-ups so both technical and non-technical stakeholders can understand model purpose, comparisons, and known risks and limitations.

Requirements

Bachelor’s degree in Computer Science, Data Science, Machine Learning, Computational Linguistics, or a closely related field.
Strong data-engineering experience building production pipelines for large, messy, or unstructured audio and text datasets.
Hands-on experience fine-tuning or adapting speech/audio models using parameter-efficient methods (LoRA, QLoRA, adapters) and/or compression techniques (quantization, distillation, pruning) for constrained hardware.
Practical experience developing and evaluating ASR/speech-to-text models across multiple languages, including error analysis under real-world conditions such as accents, noise, and code-switching.
Strong Python and SQL skills, with experience using tools such as PyTorch, Hugging Face Transformers/PEFT, torchaudio, and librosa.
Experience deploying and monitoring production ML systems, including secure handling of sensitive audio, transcripts, and derived data in a regulated environment.
Ability to explain model behavior, tradeoffs, and limitations to both technical and non-technical stakeholders.

Technologies

Python, SQL, PyTorch
Hugging Face Transformers, PEFT
torchaudio, librosa
LoRA, QLoRA, quantization, distillation, pruning
iPhone, iOS, Swift, AVFoundation

Role scope

This position owns the speech-to-text model: its data, training/adaptation, on-device size and latency, and transcription accuracy across languages.
It does not own iOS application development, translation (source-language-to-target-language), or the Swift/AVFoundation integration layer; those are handled by a separate mobile engineering function, with close collaboration.

Salary and location

USD 80,000 - 160,000 per yearly

Reston, VA (onsite)

Benefits

Generous and flexible time-off policy
Flexible work schedules and telework options, including remote work availability for eligible projects
Career development opportunities: mentorship program, Dev University technical and management training, hands-on learning through DevLab, tuition reimbursement, and paid training opportunities
Industry-leading benefits including a choice of two health plans with dental and vision, flexible spending account, commuter benefits, life insurance, and more
401K matching with a 5% matching contribution
Regular team and company social events including an annual party, happy hours, fitness challenges, and more
Community engagement support, including employer match for donations and time off for volunteer efforts

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1mo ago

Data and AI Engineer

The Brattle Group, Inc. Boston, MA

Boston, MA

1mo ago Closed

$105k - $115k/yr Full time Artificial Intelligence Data Data Analytics

This position is no longer accepting applications (closed Sep 9, 2026).

Job Description

Boston-based, onsite early-career role focused on hands-on data engineering and applied AI-enabled workflows that support client delivery and applied R&D. The Brattle Group’s Data & AI Engineering team works in an academic, collegial, and highly collaborative environment, partnering with economists, consultants, industry experts, and internal stakeholders to turn messy, imperfect inputs into defensible, reproducible, and fit-for-purpose solutions.

How you’ll contribute

Prepare, inspect, clean, reconstruct, and validate data from many sources, including structured datasets and text-heavy or heterogeneous inputs such as documents, reports, exports, PDFs, scans, and other formats not originally created for analysis.
Build reproducible workflows using Python, SQL, notebooks, version control, and related tools, including testing assumptions, troubleshooting issues, and documenting how results were produced.
Surface data limitations, quality issues, assumptions, blockers, and open questions early to keep work on track and transparent.
Support applied analytics, machine learning, and AI-enabled workflows when they help solve the problem.
Contribute to workflows such as text extraction, classification, summarization, embeddings, retrieval-augmented generation, model evaluation, automation, visualization, or rapid prototyping.
Use AI tools thoughtfully to accelerate learning and execution while maintaining responsibility for accuracy, confidentiality, defensibility, and quality.
Assist applied R&D by prototyping, testing, and evaluating new tools, methods, and workflows before broader adoption.
Communicate progress, technical findings, assumptions, limitations, and trade-offs clearly to consultants, economists, technical peers, and other stakeholders.
Participate in code review, collaborative problem solving, documentation, and iterative refinement of deliverables.
Turn lessons from project work and applied R&D into reusable team assets, including examples, templates, documentation, and training materials.

What you bring

Bachelor’s degree in Computer Engineering, Computer Science, Data Science, Applied Mathematics, Statistics, Economics, with strong technical coursework, or a related field.
Equivalent hands-on technical experience, internships, research work, or project-based experience may also be considered.
0-3 years of professional experience in data engineering, analytics, applied AI, machine learning, software development, research, or related technical work.
Interest in using AI tools, machine learning methods, or automation to solve practical problems, with a willingness to learn how to evaluate tools responsibly.
Comfort working in ambiguous problem spaces where tasks may need to be clarified, decomposed, and revised as new information emerges.
Strong foundation in Python for analysis, scripting, automation, or prototyping, with exposure to libraries such as pandas, NumPy, scikit-learn, or comparable tools.
Working knowledge of SQL and relational data concepts, including joins, aggregation, filtering, and practical data exploration.
Foundational understanding of statistics, data analysis, machine learning, or experimental evaluation, with interest in strengthening applied judgment over time.
Exposure to generative AI workflows, including prompt design, embeddings, vector search, retrieval-augmented generation, summarization, classification, or model evaluation.
Ability to work with structured, semi-structured, and unstructured data, including text-heavy documents or heterogeneous sources.
Familiarity with software development practices such as Git, notebooks, code review, documentation, testing, and reproducible workflows.
Familiarity with cloud platforms such as Azure (or comparable environments) is helpful but not required.
Ability to learn new tools quickly and use AI-assisted development responsibly without treating generated output as automatically correct.
Strong written and verbal communication skills, including explaining technical work, assumptions, limitations, and next steps clearly.
Ability to manage multiple parallel workstreams in a fast-paced environment.
Flexible mindset to adapt to changing project priorities and client needs.

Tools and technologies

Python, SQL, notebooks, version control
pandas, NumPy, scikit-learn, Git
embeddings, retrieval-augmented generation, vector search
prompt design, summarization, classification, model evaluation
Azure

Compensation and benefits

Competitive benefits package, base salary, and a bonus program for eligible roles based on individual and firm performance.
Anticipated base gross salary range in Boston, MA: $105,000 - $115,000 annually.
Actual salary depends on factors including experience and training.

Where this role sits at Brattle

The Data & AI Engineering team is embedded within Brattle’s consulting staff and serves both client delivery and applied R&D.
The team researches emerging technologies, prototypes new analytical and AI-enabled workflows, and translates useful methods into reusable capabilities.
Engineers work under the guidance of more experienced technical leads, including Senior Data & AI Engineers, Solutions Architects, and Research Engineers.

What the work feels like

Technical paths are often unclear, data is imperfect, and constraints are real, including some restricted or confidential workflows.
Multiple approaches may be valid, each with trade-offs and limited ability to revisit original sources.
Timelines may shift quickly based on external events, negotiations, litigation deadlines, or client needs.
Work can be recurring and operational or one-off and exploratory.

Day-to-day expectations: you won’t be expected to own full workstreams on day one, but you will be expected to learn quickly, take initiative, and stretch beyond a narrow technical lane.

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1mo ago

Staff Application Security Engineer

Gemini Trust Company New York, NY

New York, NY

1mo ago Closed

$168k - $240k/yr Full time Agent Ai Security Application Security

This position is no longer accepting applications (closed Sep 9, 2026).

Job Description

Gemini’s AppSec team is hiring a Staff Application Security Engineer to set technical direction for securing high-impact attack surfaces and to build AI-assisted security capabilities across the agentic SDLC.

Responsibilities

Own and continuously improve Gemini Secure Software Development Lifecycle guardrails as an application security subject matter expert
Lead architecture reviews, threat modeling, code reviews, and penetration testing for high-risk applications and services
Design and build AI agents across the SDLC, including:
- Automated threat modeling during design
- AI-driven secure code generation and review
- Reducing AppSec toil
Develop and deliver hands-on application security training to enable engineers at scale
Participate in the Application Security on-call rotation and lead post-incident hardening

Requirements

Proven ability to conduct design reviews, threat modeling, secure code reviews, and penetration testing with an attacker mindset
Strong application security foundation and familiarity with common vulnerabilities such as SSRF, race conditions, and privilege escalations
Deep code review experience in Scala, Java, Go or other common languages, plus hands-on experience in at least Python, Go, or similar for building; comfortable reviewing production services in other languages
Experience implementing custom detection and prevention application security controls to address issues beyond OWASP Top 10
Familiarity with highly regulated environments (financial services, fintech, crypto, or equivalent) and ability to connect business objectives with security risk
Strong cross-functional communication and collaboration with Security, Engineering, and Product
Typically 7-10+ years of experience (or equivalent impact) in application security, product security, or related roles

Preferred Qualifications

Experience building AI application security tooling using agents or related skills
Experience with supply chain security, common frameworks like SLSA and OWASP SPVS, and other CI/CD security controls
Experience preventing application security vulnerabilities at scale through secure design patterns, automated tooling, or frameworks
Experience with microservice architectures and cloud-native environments

Technologies

Scala
Java
Go
Python
OWASP Top 10
SSRF
SLSA
OWASP SPVS

Compensation

Base salary range: $168,000 - $240,000 per year (New York, NY)
Base range does not include discretionary bonus or equity package
Compensation factors include skillset, experience, job scope, and current market data

Benefits

Competitive starting pay
Discretionary annual bonus
Long-term incentive: new hire equity grant
Comprehensive health plans
401K with company matching
Paid Parental Leave
Flexible time off

Work Approach and Location

Hybrid work in the United States at company hub offices
All employees are required to onboard in-person at an office location
Role location: New York, NY (hybrid)

Equal Employment Opportunity

Gemini is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status
Accommodations are available; contact the People Team for specific needs

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1mo ago

Application Security (AppSec) Engineer - AI Trainer

DataAnnotation San Francisco, CA 🇺🇸 Remote

San Francisco, CA

1mo ago Closed

$50 - $100/hr Contract Ai Security Ai Security Evaluation Application Security

This position is no longer accepting applications (closed Sep 9, 2026).

Job Description

DataAnnotation is hiring an Application Security (AppSec) Engineer - AI Trainer to support the training of AI models for cybersecurity. The role focuses on assessing AI-generated security content and creating security-focused problems that improve how AI systems reason about threats and defenses.

Responsibilities

Review and evaluate AI-generated cybersecurity content, including threat analysis, vulnerability assessments, and offensive security techniques, ensuring real-world accuracy and validity.
Design and solve technical security problems that are used to train AI systems.
Produce clear technical explanations and security-relevant code.
Provide feedback that directly influences the next generation of AI security models.

Requirements

2+ years of hands-on experience in a cybersecurity role such as penetration testing, red teaming, incident response, detection engineering, DFIR, malware analysis, threat intelligence, or adjacent fields, including government or military cyber operations.
Some coding experience is required, including comfort navigating and patching a codebase.
English fluency at a native or bilingual level with strong writing skills.
A bachelor’s degree is preferred.
Cybersecurity certifications are a plus, including OSCP, CRTO, GREM, GCFA, CEH, and similar credentials.

Benefits

Fully remote work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible schedule, with the ability to choose which projects you take on and when you work, using your own computer.
Competitive pay, with projects paid hourly at $50 to $100 USD per hour, and potential for higher bonus rates on certain projects.
Impact by helping shape AI technologies built for cybersecurity.

Contracting Advantage

Fully remote availability across the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible project selection and scheduling, performed from your own home computer.
Hourly compensation of $50 to $100 USD per hour, with possible higher bonus rates for specific projects.
Direct involvement in shaping AI systems intended for cybersecurity use cases.

Additional Information

Payment is made via PayPal.
DataAnnotation will never ask for any money from you.
This contract role is available only to candidates in the US, Canada, UK, Ireland, Australia, and New Zealand.

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1mo ago

Cybersecurity Engineer - AI Trainer

DataAnnotation Cambridge, MA 🇺🇸 Remote

Cambridge, MA

1mo ago Closed

$50 - $100/hr Contract Ai Content Evaluation Ai Security Training Cybersecurity

This position is no longer accepting applications (closed Sep 9, 2026).

Job Description

DataAnnotation is seeking a Cybersecurity Engineer - AI Trainer to support the training of AI chatbots focused on real-world cybersecurity. In this fully remote contract role, you will review AI-generated security material, help design security-oriented technical tasks, and provide feedback that influences how AI models reason about threats and defenses.

Based in Cambridge, MA (remote), this position is paid hourly and offers a flexible schedule. Your work will be carried out on your own computer, with the goal of improving the accuracy and usefulness of AI systems used in cybersecurity contexts.

What you’ll do

Evaluate AI-generated cybersecurity content, including threat analysis, vulnerability assessments, and offensive security techniques, for real-world accuracy and validity.
Design and solve security-focused technical problems that are used to train AI systems.
Write clear technical explanations and security-relevant code.
Provide feedback that directly shapes the next generation of AI security models.

What you bring

2+ years of hands-on experience in a cybersecurity role such as penetration testing, red teaming, incident response, detection engineering, DFIR, malware analysis, threat intelligence, or adjacent fields, including government or military cyber operations.
Some coding experience is required, with comfort navigating and patching a codebase.
Fluency in English (native or bilingual level) with strong writing skills.
Bachelor’s degree preferred.
Cybersecurity certifications are a plus, for example OSCP, CRTO, GREM, GCFA, CEH, or similar.

Compensation and contract details

Job type: contract
Pay rate: $50 to $100 USD per hour
Payment method: paid via PayPal
Experience level: minimum 2 years

Remote schedule and location

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible schedule: choose which projects you take on and when you work.
Work setup: use your own computer from home.

Additional notes

Bonus opportunities: higher bonus rates may be available for certain projects.
Impact: help shape AI technologies built for cybersecurity.
Security note: DataAnnotation will never ask for any money from you.
Eligibility: this role is only available to candidates in the US, Canada, UK, Ireland, Australia, and New Zealand.