LEAD SOFTWARE DEVELOPER- AI AUGMENTED

Lead Software Developer- AI Augmented

New York / $220000 - $240000 annum

INFO

SALARY:

$220000 - $240000

LOCATION

New York

Permanent

We're looking for a deeply experienced front-end engineer with full-stack fluency who brings strong judgment and a thoughtful critical perspective. This role is not about producing baseline code quickly. Modern AI tools can do that. It's about collaboration, setting direction, making sound decisions, and driving technical quality. You will leverage AI agents as force multipliers while maintaining a high bar for correctness, maintainability, testability, and operational excellence. Success here depends on engineering judgment-choosing the right solution, not just producing code.

Key Responsibilities:

· Take Ownership: You'll be accountable for upholding a high bar for quality through design reviews, code reviews, test strategy, and production readiness.

· Collaborate cross-functionally: Partner with product, design, and fellow engineers to shape solutions, clarify tradeoffs, and deliver reliably.

· Architect for change: Design and build full-stack, frontend-leaning systems that are intentionally small, composable, and resilient to evolving product requirements.

· Improve Performance & Quality: Enforce architectural and operational quality, catching subtle issues that are easy to miss in fast-moving, AI-assisted development.

· Champion Functional Patterns: Champion functional programming principles and immutability to reduce side effects and make systems simpler to reason through and debug.

· Lead AI-assisted Development: You'll use AI assistants/agents for prototyping, scaffolding, refactoring, and exploratory development, then harden the result and rigorously validate through tests, reasoning, and edge-case review.

· Raise quality through testing: Build and maintain a strong automated test suite of unit, integration/contract, component/UI, and end-to-end coverage, with fast feedback loops in CI.

About You:

· Bachelor's degree in computer science or engineering, or a related field.

· 10+ years of experience building production web applications and 2+ years as a Principal Engineer.

· Expert-level proficiency with TypeScript, strong experience with React, server-side rendered Next.js (or similar), and performant component-driven development (e.g. Reshaped UI).

· Deep understanding and experience with of the orchestration and composition of calls across multiple services

· Ability to articulate complex technical trade-offs to stakeholders and translate product vision into high-fidelity technical direction.

· Demonstrated development of simple, reusable, changeable systems (with examples of refactors, platforming work, or scalable patterns).

· Preference for functional programming and a deep understanding of why immutability is critical in modern software development.

· Advanced knowledge of the testing pyramid and how to use automated tests as a safety net for rapid, iterative development.

· Proven technical leadership through mentorship, delegation, and high-quality code reviews.

AI-Assisted Engineering Expectations:

· Hands-on experience with tools like Cursor (or equivalent AI-augmented IDEs) and all modern coding models.

· Practical understanding of where AI is strong vs. where it falls short, paired with sound discernment in its application.

· Ability to use AI agents to quickly project multiple approaches, compare tradeoffs, and converge on the best solution without shipping "AI-shaped" code.

CONTACT

Sasha Hoherchak

Senior Recruitment Consultant

SIMILAR
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Sr. ML Engineer

Irvine

$215000 - $240000

+ Data Science & AI

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Irvine, California

Senior Machine Learning Engineer (AdTech)

Irvine, CA (Hybrid)
Base Salary: Up to $240,000
U.S. Citizen or Green Card Holder Required

About the Opportunity

A rapidly growing technology company in the AdTech space is seeking a Senior Machine Learning Engineer to join a high-impact optimization and data science team. This role is ideal for a hands-on machine learning practitioner who enjoys building production-ready models, working with large-scale datasets, and driving measurable business outcomes through AI and machine learning.

You will own end-to-end machine learning initiatives, from problem definition and feature engineering to model deployment, retraining, and performance optimization. This position offers the opportunity to influence core advertising performance systems and work closely with product, engineering, and analytics teams.

What You’ll Do

• Design, train, evaluate, and deploy machine learning models for optimization and predictive analytics within AdTech environments.
• Analyze large-scale, multi-source datasets to uncover trends, opportunities, and performance drivers.
• Build and maintain scalable data pipelines and feature generation processes.
• Continuously improve model performance through experimentation, retraining, and feature enhancements.
• Partner with product managers and engineering teams to define requirements and deliver measurable business impact.
• Monitor model health, accuracy, and operational performance in production environments.
• Develop high-quality, maintainable code with appropriate testing, documentation, and best practices.
• Communicate technical findings and modeling decisions to both technical and non-technical stakeholders.

Required Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, Data Science, Mathematics, or a related technical field.
• 5+ years of professional experience in Machine Learning Engineering, Applied Machine Learning, Data Science, or a related field.
• Strong experience developing and training machine learning models using Python and modern ML frameworks/libraries.
• Advanced SQL skills and experience working with large-scale datasets and complex multi-table data environments.
• Experience within AdTech, digital advertising, marketing technology, or advertising optimization platforms is required.
• Strong understanding of feature engineering, model evaluation, and predictive modeling techniques.
• Experience building and supporting production ML systems.
• Excellent analytical, problem-solving, and communication skills.

Preferred Qualifications

• Experience with online feature stores and real-time data systems.
• Background in recommendation systems, bidding optimization, user acquisition, ad monetization, or advertising performance models.
• Experience working in cloud-based ML environments.
• Familiarity with MLOps practices and model lifecycle management.

Work Environment

• Hybrid work arrangement based in Irvine, California.
• Collaborative and fast-paced environment focused on innovation and measurable results.
• Opportunity to work on high-visibility machine learning initiatives that directly impact business performance.

Compensation & Benefits

• Competitive base salary up to $240,000
• Comprehensive benefits package
• Performance-based incentives
• Career growth and advancement opportunities
• Collaborative, technology-driven culture

Please note: Candidates must be authorized to work in the United States without sponsorship. U.S. Citizens and Green Card holders only.

Senior Data Engineer

Dallas

$140000 - $160000

+ Data Engineering

Permanent

Dallas, Texas

To Apply for this Job Click HereSenior Data Engineer

Location: Richardson, TX
Work Model: Hybrid (4 days onsite)
Compensation: $140,000-$160,000 base + bonus

Work Authorization: Must be authorized to work in the U.S. without sponsorship (now or in the future)

About the Company

This established financial services organization is investing heavily in the next generation of its enterprise data platform. The team is building a modern cloud-native analytics ecosystem designed to support scalable data products, advanced analytics, and AI initiatives across the business.

This is an opportunity to join a well-funded modernization effort where you’ll help define engineering standards, influence architecture, and build production-grade data solutions using today’s leading cloud technologies.

The engineering culture emphasizes technical excellence, ownership, automation, and collaboration, giving engineers the opportunity to make a lasting impact while working on highly visible initiatives.

About the Role

This is not a traditional ETL maintenance role.

As a Senior Data Engineer, you’ll help build a modern analytics platform from the ground up, designing scalable ingestion pipelines, transformation frameworks, and cloud-native data architectures that enable analytics, reporting, and AI across the enterprise.

You’ll work alongside platform engineers, architects, analytics teams, and business stakeholders to build production-ready data solutions while helping establish engineering best practices for the broader organization.

Whether your strength is data ingestion with Fivetran or analytics engineering with dbt and Snowflake, you’ll have the opportunity to own critical components of a rapidly evolving data platform.

Key Responsibilities

• Design and build scalable ELT pipelines using modern cloud technologies
• Develop and maintain production-ready data transformation frameworks with dbt
• Design Snowflake data models that support analytics, reporting, and downstream applications
• Build and optimize data ingestion pipelines using Fivetran and cloud-native integration patterns
• Develop reusable, well-tested Python and SQL solutions for large-scale data processing
• Implement CI/CD practices and Infrastructure as Code to improve deployment reliability
• Establish data quality, observability, governance, and operational monitoring standards
• Partner with architects, platform engineers, analytics teams, and business stakeholders to deliver enterprise-scale data solutions
• Evaluate emerging technologies and contribute to the long-term evolution of the data platform
• Mentor engineers and promote engineering best practices across the team

Must Haves

• 7+ years of Data Engineering experience building production-grade data platforms
• Strong Python and advanced SQL skills
• Hands-on experience with dbt (required)
• Production experience with Snowflake
• Experience designing scalable ELT/ETL pipelines
• Modern cloud experience (AWS preferred)
• Experience building and supporting enterprise data warehouses
• Strong understanding of CI/CD, version control, and software engineering best practices
• Ability to lead technical discussions and influence architectural decisions
• Excellent communication skills with a collaborative, ownership-driven mindset

Nice to Have

• Fivetran
• Terraform or Infrastructure as Code
• PySpark
• Kafka or streaming data platforms
• Financial services experience
• Data platform modernization or cloud migration experience
• Experience building analytics-ready data products

Why Join

• Help build a next-generation enterprise analytics ecosystem from the ground up
• Work on a greenfield-style modernization initiative using modern cloud technologies
• Join a collaborative engineering organization where technical leadership is valued
• Influence architecture, engineering standards, and the future direction of the data platform
• Work with technologies including Snowflake, dbt, Fivetran, Python, AWS, and Terraform
• Competitive compensation of $150,000-$160,000 base + bonus
• Hybrid schedule (4 days onsite) with long-term career growth in a stable enterprise environment

To Apply for this Job Click Here

Application Support Engineer

New York

$150000 - $180000

+ Data Engineering

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New York

To Apply for this Job Click Here

Application Support Engineer (Front Office Technology)
New York – 4 Days Onsite
Salary: $150,000 to $180,000 base salary + bonus

This is a front office Application Support Engineer role with a clear engineering mandate. You will support a core trading platform while actively reducing manual support through automation, observability, and AI driven tooling. It offers direct exposure to traders and portfolio managers, and a genuine pathway into platform engineering or SRE style work.

The Company
They are a global investment firm operating across major financial markets with a strong focus on technology and data. The organisation follows an engineering led approach, with continuous investment in modern platforms and tooling. Their environment is collaborative, high performance, and centred around innovation in trading systems. Teams work closely with the front office, ensuring technology plays a direct role in driving business outcomes.

The Role

• Own the stability and performance of a front office trading platform across the trading day
• Monitor system health, respond to incidents, and coordinate resolution across technology and business teams
• Investigate and resolve issues related to order flow, FIX connectivity, and market data
• Build Python based tools to automate repetitive support tasks and improve system efficiency
• Develop and maintain monitoring dashboards and alerting using Grafana or similar
• Partner with traders, portfolio managers, and quants to ensure smooth system operation
• Collaborate with engineering teams to implement long term fixes and enhancements
• Contribute to AI driven initiatives for incident detection and operational improvement
• Support releases through testing and validation processes

Your Skills and Experience

• Strong commercial experience in application or production support within a trading or financial services environment
• Working knowledge of Python for scripting and automation
• Experience with FIX protocol, Linux environments, and SQL Server
• Familiarity with monitoring and observability tools such as Grafana
• Exposure to execution management systems such as EMSX, FlexTrade, or similar
• Understanding of market data platforms and order lifecycle workflows
• Experience using tools such as Git and Jira
• Ability to troubleshoot under pressure and communicate clearly with technical and non technical stakeholders
• Interest in using AI or LLM tools to improve operational processes

What They Offer

• Base salary between $150,000 and $180,000 with performance related bonus
• High visibility role with direct interaction with front office stakeholders
• Opportunity to shape the future of support through automation and AI tooling
• Clear progression into platform engineering or SRE aligned positions
• Collaborative and technology focused working environment

How to Apply
If you are interested in this Application Support Engineer opportunity in New York, apply now with your CV to learn more.

To Apply for this Job Click Here

Principal Credit Risk Consultant

London

£90000 - £120000

+ Risk Analytics

Permanent

London

To Apply for this Job Click Here

Principal Credit Risk Consultant
London. Hybrid working with 2 days in the office.
£90,000 to £120,000 + benefits.

This is a standout opportunity for a Principal Credit Consultant to take on a highly visible role within a leading credit risk and analytics consulting environment. You will combine hands on analytical delivery with senior stakeholder engagement, playing a key role in both client impact and team development.

The Company
They are a well established UK consultancy operating across financial services, with a strong focus on credit risk, analytics, and advisory. The business partners with lenders and financial institutions to deliver data driven strategies and insights. Their credit risk team is recognised for delivering high quality work in a collaborative, flat structure that enables close interaction with senior specialists. They continue to grow their capabilities and client base across multiple service areas.

The Role
You will lead complex engagements while contributing to the growth and development of the credit risk team.

• Lead end to end delivery of credit risk and analytics consulting projects
• Manage multiple engagements, ensuring delivery to scope, timeline, and budget
• Provide hands on analytical input where required across modelling and data analysis
• Build strong client relationships and act as a trusted advisor on credit risk strategy
• Support growth through expanding existing client relationships and contributing to proposals
• Mentor and develop analysts, supporting capability building within the team
• Contribute to internal discussions on resource planning, delivery quality, and team development

Your Skills and Experience

• Strong commercial experience in credit risk analytics within UK lending
• Experience in a consultancy or client facing analytics environment
• Proven ability to lead projects and manage delivery teams
• Expertise across credit risk modelling, forecasting, or strategy optimisation
• Strong coding capability in SAS, SQL, or Python, with willingness to work in Python
• Ability to communicate complex analytical outputs clearly to a range of stakeholders
• Experience building and maintaining client relationships

What They Offer

• Salary between £90,000 and £120,000 depending on experience
• Hybrid working with London office presence
• Opportunity to take on a senior, influential role within a growing team
• Exposure to complex projects and high impact client work
• Collaborative environment focused on professional development

How to Apply
Apply now to learn more about this Principal Credit Consultant opportunity and the next steps in the process.

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