Software Engineer III (Typescript, Java, Python, AI) (US)

$98K - $159K Mount Laurel, NJ, US Mid Level AI Software Engineer

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Skills & Technologies

PythonTypescript

About This Role

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Work Location:

Mount Laurel, New Jersey, United States of America

Hours:

40

Pay Details:

$98,160 \- $159,270 USD

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job\-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Line of Business:

Technology Solutions

Job Description:

The Software Engineer III (Typescript, Java, Python, AI) leads the creation of comprehensive end\-to\-end detailed solutions for projects and platforms with overall accountability for the technical design and delivery of a specific technical solution based on requirements from stakeholders.

Develops and maintains technical solutions, ensuring adherence to engineering and architectural design principles while meeting business requirements. Provides technical expertise with a focus on efficiency, reliability, scalability, and security; includes planning, evaluating, recommending, designing, operationalizing, and supporting solutions in compliance with enterprise and industry standards.

Ultimately, providing expert advice and lead in system / application administration, installation, configuration / provisioning, platform planning and design, integration and release / deployment management.

Depth \& Scope:

  • Expert knowledge of the business, the broader organization, technical environment, processes, procedures, tools and other relevant technology areas (e.g. Architecture, Infrastructure, Security etc.) from a design / support / solutions perspective
  • Primary subject matter expert in multiple areas and consults with clients/or project teams with respect to all aspects of research, analysis, design, hardware / software support
  • Expert knowledge of specific domain or range of engineering frameworks, technology, tools, processes and procedures, as well as organization issues
  • Works independently and/or autonomously as a senior/ lead on a diverse range of tasks / operational support of solutions

Education \& Experience:

  • Undergraduate degree, Post Graduate degree or Technical Certificate
  • Strong academic background (e.g., computer science, engineering)
  • Graduate degree nice to have
  • 5\-7 years relevant experience

Customer Accountabilities:

  • Executes on Engineering strategy as it relates to the introduction of tools and the automation of build, test, release and configures activities across Application, Platform and Infrastructure
  • Leads the creation of solution options and ultimately a comprehensive end\-to\-end solution and coordinate relevant stakeholders, as required to support development initiatives; following a "build it, break it, fix it mentality".
  • Is responsible for developing and documenting detailed solution design and act as an application SME through the design and development lifecycle ensuring alignment with Architecture
  • Is accountable for complex applications/systems development, programming /coding
  • Develops functional, technical and user interface designs for an application / system that meets the defined requirements (business, enterprise architecture direction, system performance and development standards)
  • Consults on development of requirements and specifications and apply functional knowledge of business functions to design optimal software / systems
  • Reviews technical deliverables throughout detailed design and development phase to ensure quality adherence and identify gaps or redesign requirements as needed
  • Identifies, recommends, sources, negotiates and implements improvements/ solutions (buy/build/reuse) to enhance customer experience, availability, and/or reduce cost in support of client needs
  • Works with Technology partners to define metrics and performance goals for the application
  • Identifies and addresses application and data issues and cross\-capability and cross\-release issues that affect application integrity
  • Researches/analyzes business requirements to evaluate and recommend optimal solutions within business technology architecture; collects environment requirements for infrastructure implementation by analyzing the current system environment, using technical tools and utilities
  • Works with Architects to ensure that environment modifications interact appropriately, data conversion impacts are considered, and other areas of impact are addressed and meet performance requirements of the project
  • Contributes to the advancement of the TD engineering practice through strong collaboration, research, analytic, and problem\-solving skills

Shareholder Accountabilities:

  • Adheres to enterprise frameworks or methodologies that relate to software engineering activities
  • Ensures respective programs/ policies/practices are well managed, meets business needs, complies with internal and external requirements, and aligns with business priorities
  • Collaboratively engages with relevant stakeholders at all levels, both internal and external, to shift from finding defects to proactively preventing defects
  • Actively seeks and supports continuous improvement and automation opportunities within the engineering practice
  • Conducts meaningful analysis at the functional or enterprise level using results to draw conclusions, make recommendations, assess the effectiveness of programs/ policies/ practices
  • Identify opportunities to minimize cost, provide recommendations and/or deliver corresponding strategic solutions to support cost effectiveness and to enhance stakeholder experience
  • Conducts code reviews to ensure adherence to quality, standards compliance, reusability and ease of maintenance, Operational Readiness Reviews, and supporting gating and review sign\-offs for solution design
  • Monitors service, productivity and assesses efficiency levels within own function and implement continuous process / performance improvements where opportunities exists
  • Leads / facilitates and/or implements actions / remediation plans to address performance / risk /governance issues
  • Actively manages relationships within and across various business lines, corporate and/or control functions and ensures alignment with enterprise and/or regulatory requirements
  • Protects the interests of the organization – identifies and manage risks, and escalates non\-standard, high risk activities as necessary
  • Keeps abreast of emerging issues, trends, and evolving regulatory requirements and assesses potential impacts
  • Maintains a culture of risk management and control, supported by effective processes in alignment with risk appetite

Employee/Team Accountabilities:

  • Participates fully as a member of the team, supports a positive work environment that promotes service to the business, quality, innovation and teamwork and ensures timely communication of issues/ points of interest
  • Provides thought leadership and/ or industry knowledge for quality engineering best practices and participates in knowledge transfer within the team and business unit
  • Keeps current on emerging trends/ developments and grows knowledge of the business, related tools and techniques
  • Participates in personal performance management and development activities, including cross training within own team
  • Keeps others informed and up\-to\-date about the status / progress of projects and / or all relevant or useful information related to day\-to\-day activities
  • Actively mentors and enables team members by sharing knowledge and leveraging engineering best practices
  • Supports the team by providing guidance and proactively identifying and resolving issues
  • Leads, motivates and develops relationships with internal and external business partners / stakeholders to develop productive working relationships
  • Contributes to a fair, positive and equitable environment that supports a diverse workforce
  • Acts as a brand ambassador for your business area/function and the bank, both internally and/or externally

Preferred Qualifications:

  • 5\+ years of experience in Typescript, Java, and Python
  • 5\+ years of experience working with AI Prompts, and AI Assistants for Integrated Development Environments (IDE)
  • 5\+ years of experience working in framework development for both application and testing
  • Willingness to learn new technologies as required

Physical Requirements:

Never: 0%; Occasional: 1\-33%; Frequent: 34\-66%; Continuous: 67\-100%

  • Domestic Travel – Occasional
  • International Travel – Never
  • Performing sedentary work – Continuous
  • Performing multiple tasks – Continuous
  • Operating standard office equipment \- Continuous
  • Responding quickly to sounds – Occasional
  • Sitting – Continuous
  • Standing – Occasional
  • Walking – Occasional
  • Moving safely in confined spaces – Occasional
  • Lifting/Carrying (under 25 lbs.) – Occasional
  • Lifting/Carrying (over 25 lbs.) – Never
  • Squatting – Occasional
  • Bending – Occasional
  • Kneeling – Never
  • Crawling – Never
  • Climbing – Never
  • Reaching overhead – Never
  • Reaching forward – Occasional
  • Pushing – Never
  • Pulling – Never
  • Twisting – Never
  • Concentrating for long periods of time – Continuous
  • Applying common sense to deal with problems involving standardized situations – Continuous
  • Reading, writing and comprehending instructions – Continuous
  • Adding, subtracting, multiplying and dividing – Continuous

The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties and skills required. The listed or specified responsibilities \& duties are considered essential functions for ADA purposes.

Who We Are:

TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.

Our Total Rewards Package

Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical and mental well\-being goals. Total Rewards at TD includes base salary and variable compensation/incentive awards (e.g., eligibility for cash and/or equity incentive awards, generally through participation in an incentive plan) and several other key plans such as health and well\-being benefits, savings and retirement programs, paid time off (including Vacation PTO, Flex PTO, and Holiday PTO), banking benefits and discounts, career development, and reward and recognition. Learn more

Additional Information:

We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.

Colleague Development

If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.

If you’re passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.

We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.

Training \& Onboarding

We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.

Interview Process

We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

Accommodation

TD Bank is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, status as a protected veteran or any other characteristic protected under applicable federal, state, or local law.

If you are an applicant with a disability and need accommodations to complete the application process, please email TD Bank US Workplace Accommodations Program at [email protected] . Include your full name, best way to reach you and the accommodation needed to assist you with the applicant process.

Salary Context

This $98K-$159K range is in the lower quartile for AI Software Engineer roles in our dataset (median: $190K across 219 roles with salary data).

Role Details

Company TD
Title Software Engineer III (Typescript, Java, Python, AI) (US)
Location Mount Laurel, NJ, US
Category AI Software Engineer
Experience Mid Level
Salary $98K - $159K
Remote No

About This Role

AI Software Engineers build the applications and systems that AI models run inside. They own the API layers, data pipelines, frontend integrations, and infrastructure that turn a model into a product users interact with. Every AI company needs engineers who can build the software around the AI.

The challenge is building reliable systems around inherently unreliable components. Models are probabilistic. They'll give different answers to the same question. They hallucinate. They're slow. They're expensive. Your job is to build an application layer that handles all of this gracefully while delivering a product that users trust and enjoy.

Across the 3,823 AI roles we're tracking, AI Software Engineer positions make up 7% of the market. At TD, this role fits into their broader AI and engineering organization.

AI Software Engineer roles are among the most numerous in the AI job market. Every company deploying AI needs software engineers who understand AI integration patterns. The demand is broad, spanning startups to enterprises, across every industry adopting AI capabilities.

What the Work Looks Like

A typical week includes: building API endpoints that serve model inference with caching and fallback logic, designing the data pipeline that feeds context to a RAG system, implementing streaming responses in the frontend, debugging a race condition in the async inference pipeline, and optimizing database queries for the vector search layer. It's full-stack engineering with AI at the center.

AI Software Engineer roles are among the most numerous in the AI job market. Every company deploying AI needs software engineers who understand AI integration patterns. The demand is broad, spanning startups to enterprises, across every industry adopting AI capabilities.

Skills Required

Python (52% of roles) Typescript (7% of roles)

Full-stack engineering skills with AI integration experience. Python and TypeScript are the most common requirements. You'll need to understand API design, database architecture, and how to build reliable systems around probabilistic outputs. Experience with streaming, async processing, and caching patterns is increasingly important as real-time AI applications proliferate.

Knowledge of vector databases, embedding APIs, and LLM integration patterns (function calling, structured outputs, retry logic) differentiates AI software engineers from general software engineers. Understanding cost optimization (caching strategies, model routing, batched inference) is valuable since inference costs can dominate application economics.

Strong postings describe the product you'll be building, the AI integration patterns you'll work with, and the scale requirements. Look for companies that have existing AI features and need engineers to improve and expand them, not companies that are 'planning to add AI' someday.

Compensation Benchmarks

AI Software Engineer roles pay a median of $232,000 based on 797 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $165,000. This role's midpoint ($128K) sits 45% below the category median. Disclosed range: $98K to $159K.

Across all AI roles, the market median is $200,100. Top-quartile compensation starts at $253,500. The 90th percentile reaches $307,500. For comparison, the highest-paying categories include AI Engineering Manager ($275,000) and AI Safety ($274,200). By seniority level: Entry: $97,880; Mid: $165,000; Senior: $227,400; Director: $247,800; VP: $250,000.

TD AI Hiring

TD has 3 open AI roles right now. They're hiring across AI Software Engineer, Data Scientist, AI/ML Engineer. Positions span Mount Laurel, NJ, US, New York, NY, US. Compensation range: $155K - $159K.

Location Context

Across all AI roles, 15% (590 positions) offer remote work, while 3,217 require on-site attendance. Top AI hiring metros: New York (2,643 roles, $211,000 median); San Francisco (2,168 roles, $253,000 median); Los Angeles (1,792 roles, $191,580 median).

Career Path

Common paths into AI Software Engineer roles include Software Engineer, Full-Stack Developer, Backend Engineer.

From here, career progression typically leads toward Staff Engineer, AI Architect, Engineering Manager.

If you're a software engineer, you're already 80% there. Learn the AI integration patterns: RAG, streaming inference, function calling, structured outputs. Build a project that demonstrates you can wrap an AI model in a production-quality application with proper error handling, caching, and user experience. That's the portfolio piece that gets you hired.

What to Expect in Interviews

Technical screens look like standard software engineering interviews with an AI twist. Expect system design questions about building reliable applications around probabilistic models: handling streaming responses, implementing retry logic for API failures, and designing caching strategies for LLM outputs. Coding rounds test standard algorithms plus practical integration patterns like async processing and rate limiting.

When evaluating opportunities: Strong postings describe the product you'll be building, the AI integration patterns you'll work with, and the scale requirements. Look for companies that have existing AI features and need engineers to improve and expand them, not companies that are 'planning to add AI' someday.

AI Hiring Overview

The AI job market has 3,823 open positions tracked in our dataset. By seniority: 112 entry-level, 1,798 mid-level, 1,516 senior, and 397 leadership roles (Director, VP, C-Level). Remote roles make up 15% of the market (590 positions). The remaining 3,217 roles require on-site or hybrid attendance.

The market median for AI roles is $200,100. Top-quartile compensation starts at $253,500. The 90th percentile reaches $307,500. Highest-paying categories: AI Engineering Manager ($275,000 median, 41 roles); AI Safety ($274,200 median, 55 roles); Research Engineer ($260,000 median, 434 roles).

AI Software Engineer roles are among the most numerous in the AI job market. Every company deploying AI needs software engineers who understand AI integration patterns. The demand is broad, spanning startups to enterprises, across every industry adopting AI capabilities.

The AI Job Market Today

The AI job market spans 3,823 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (2,629), Data Scientist (322), AI Software Engineer (279). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.

The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (112) are outnumbered by mid-level (1,798) and senior (1,516) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 397 positions, representing the bottleneck between technical execution and organizational strategy.

Remote work availability sits at 15% of all AI roles (590 positions), with 3,217 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.

AI compensation is structured in clear tiers. The market median sits at $200,100. Top-quartile roles start at $253,500, and the 90th percentile reaches $307,500. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.

Category matters for compensation. AI Engineering Manager roles lead at $275,000 median, while Prompt Engineer roles sit at $140,000. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.

The most in-demand skills across all AI postings: Python (1,979 postings), Aws (1,190 postings), Azure (899 postings), Rag (839 postings), Gcp (726 postings), Pytorch (595 postings), Prompt Engineering (595 postings), Claude (540 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.

Frequently Asked Questions

Based on 797 roles with disclosed compensation, the median salary for AI Software Engineer positions is $232,000. Actual compensation varies by seniority, location, and company stage.
Full-stack engineering skills with AI integration experience. Python and TypeScript are the most common requirements. You'll need to understand API design, database architecture, and how to build reliable systems around probabilistic outputs. Experience with streaming, async processing, and caching patterns is increasingly important as real-time AI applications proliferate.
About 15% of the 3,823 AI roles we track offer remote work. Remote availability varies by company and seniority level, with senior and leadership roles more likely to offer location flexibility.
TD is among the companies actively hiring for AI and ML talent. Check our company profiles for detailed breakdowns of open roles, salary ranges, and hiring trends.
Common next steps from AI Software Engineer positions include Staff Engineer, AI Architect, Engineering Manager. Progression depends on whether you lean toward technical depth, people management, or product strategy.

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