AI Development Engineer Job at NTT DATA (Toronto)

Staff AI Developer Productivity Engineer

This is a staff-level, hands-on role at the intersection of Developer Productivi...

Location

United Kingdom , London OR Chester

Salary:

Not provided

Equals Group PLC

Expiration Date

Until further notice

Requirements

8+ years in software engineering with a track record of building internal developer tooling/DevEx (CLI/IDE plugins, bots, internal services or web apps)
Strong proficiency in TypeScript/Node.js, C#/.NET and front-end experience with React/Next.js
Hands-on LLM integration: prompting, tool/function calling, retrieval (embeddings/vector stores) and basic evaluation of quality
Solid understanding of CI/CD, test strategy and code-quality tooling
able to design fast inner loops and reliable pipelines
Product mindset: discovery interviews, hypothesis-driven experiments, before/after evaluation and clear business cases
Excellent communication and influence skills
comfortable enabling teams via docs, workshops and remote office hours
A role model for our values: Make it happen
Succeed together

Job Responsibility

AI-first discovery roadmap - Interview engineers, analyse telemetry and prioritise the highest-leverage opportunities across coding, review, testing, releases and knowledge flows. Set baselines and target deltas and maintain a transparent backlog/roadmap grounded in measurable outcomes
Ship internal tools - Build and maintain AI-augmented dev tools across IDE/CLI, GitHub, Slack, Notion, Retool and internal web apps that reduce manual effort and cycle time
Agentic flows across the SDLC - Design structured, agentic workflows (including MCP and tool-use with human-in-the-loop gates) to improve code authoring/review, test creation/selection and the release, incident response and onboarding processes
Frontier scouting & evaluation - Continuously experiment with cutting-edge AI models, frameworks and runtimes
run short, hypothesis-driven pilots with clear success criteria and developer-fit assessments
productionise successful approaches
Automation pipelines - Implement LLM-assisted and AST-based code-mod workflows for migrations, boilerplate generation, test creation and docs updates
Enablement & change management - Drive adoption with playbooks, golden prompts, demos, office hours and a champions network across build teams
measure usage and satisfaction and iterate

What we offer

25 days holiday per year + your birthday off
Opportunities for progression, development and learning new skills - £250 towards the cost of learning & development
Free onsite Nuffield Health gym & pool (London) and discounted gym membership elsewhere
GetActive with Aviva - Health and Wellbeing discounts on services and products
Interbank currency rates on travel money and international transfers
Bupa Private Healthcare
Free Eye Test and £50 up to the cost of glasses
EAP Service - Mental Health Services
Life Assurance Policy - x3 annual salary
Contributory pension scheme

AI Engineering Manager - Internal AI Agent

We are looking for an AI Engineering Manager to drive Mirakl's internal AI trans...

Location

France , Paris

Salary:

Not provided

Mirakl

Expiration Date

Until further notice

Requirements

7+ years of experience in AI/ML or software engineering
Proven track record building AI agents using LLMs, RAG, MCP and related technologies
Strong technical proficiency in Python and multiple programming languages, with architectural design experience
Production deployment expertise - you've shipped AI solutions to real users
Technical pragmatism - ability to match the right technology to the use case
Curiosity and continuous learning - you stay current with AI/ML trends
1+ years experience as a Lead or management roles (team management or technical leadership)
Strong leadership skills - you inspire and develop high-performing engineering teams
Cross-functional stakeholder management - you build relationships and excel at working with all organizational levels & functions
Strong communication & presentation skills - in both English and French

Job Responsibility

Partner closely with Mirakl teams & leadership to identify & prioritize opportunities, redesign workflows around AI agents, and drive adoption at scale
Lead and mentor a team of cross-functional AI engineers, defining your team’s roadmap to support strategic AI initiatives
Build advanced Mirakl-specific AI agents centrally, owning the complete delivery cycle from discovery to production deployment and operations
Foster organization-wide AI adoption by animating internal communities, providing self-service tools, training & support to empower teams as autonomous AI builders
Establish & scale technical standards & stack to ensure secure, compliant & high-quality deliverables across all internal AI projects
Explore emerging AI paradigms, evaluate new tools and technologies, and maintain active technology watch

Software Engineer, AI Product

Figma is growing our team of passionate creatives and builders on a mission to m...

Location

United States , San Francisco; New York

Salary:

149000.00 - 350000.00 USD / Year

Figma

Expiration Date

Until further notice

Requirements

5+ years of experience of Software Engineering
1 or more years of developing generative AI products
Comfort in prototyping and pathfinding new opportunities that led to successful 0→1 projects
Proven experience implementing the full lifecycle of an early-phase AI development, from ideating on which models to use through productionizing and maintaining them
Experience in developing deep product and business knowledge to connect abstract modeling and analysis tasks with business value

Job Responsibility

Lead the development of early-phase AI systems to enhance user experience and develop systems to measure and improve AI performance and relevance
Direct the future of AI at Figma in collaboration with cross-functional teams of innovative software engineers, product managers, and data scientists
Break down open-ended AI problems into engineering strategies utilizing machine learning, data analysis, and experimental design
Provide mentorship and promote best practices in data and AI while cultivating a collaborative and inclusive team culture
Contribute to the growth of the team by improving the hiring process and recruiting outstanding AI talent

What we offer

equity
health, dental & vision benefits
retirement with company contribution
parental leave & reproductive or family planning support
mental health & wellness benefits
generous PTO
company recharge days
a learning & development stipend
a work from home stipend
cell phone reimbursement

Fulltime

Applied AI Engineer - AI Solutions

As an Applied AI Engineer, you’ll research and utilize state-of-the-art Gen AI a...

Location

United States , Redwood City; San Francisco

Salary:

172000.00 - 300000.00 USD / Year

Snorkel AI

Expiration Date

Until further notice

Requirements

B.S. degree in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics, or comparable degree/experience
3+ years of customer-facing experience in the design and implementation of AI/ML solutions
Proficiency in Python, including strong grounding in software engineering fundamentals (e.g., modular design, testing, profiling, packaging) and experience with modern Python constructs and libraries for type validation and typed data modeling (e.g., pydantic), building type-safe systems (e.g., mypy), testing (e.g., pytest), packaging and environment configuration (e.g., poetry), API and service frameworks (e.g., FastAPI), serialization and structured data handling (e.g., msgspec), and orchestration tooling relevant to ML deployment (e.g., Ray, Airflow)
Expertise across the Applied AI stack, spanning classical ML libraries (e.g., scikit-learn), deep learning frameworks (e.g., PyTorch), foundation-model ecosystems (e.g., Hugging Face Transformers), vector/embedding tooling (e.g., FAISS), data processing frameworks (e.g., pandas, Spark), retrieval/RAG tooling (e.g., Chroma, Weaviate), synthetic dataset curation, evaluation workflows, and LLM orchestration, workflow, agent authoring tools (e.g., LlamaIndex, LangGraph, CrewAI)
Experience leading strategic, customer-facing initiatives and collaborating with business stakeholders to ensure ML solutions drive successful business outcomes, with a strong focus on teaching and enablement
Outstanding presentation skills to technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
Ability to work in a fast-paced environment and balance priorities across multiple projects at once

Job Responsibility

Partner with customers to build and deploy impactful Gen AI and machine learning solutions, from use case scoping and data exploration to model development and deployment. This may involve leveraging Snorkel Flow or designing custom approaches using state-of-the-art tools, with the goal of delivering real business value and informing the evolution of the Snorkel platform
Develop and implement state of the art AI systems such as retrieval-augmented generation (RAG), fine-tuning pipelines, prompt engineering recipes and agentic workflows
Create augmented real-world datasets and comprehensive evaluation workflows to ensure model reliability, transparency, and stakeholder trust. A data- and evaluation-first mindset is essential for success in this role
Forge and manage relationships with our customers’ leadership and stakeholders to ensure successful development and deployment of AI projects with Snorkel Flow
Collaborate closely with pre-sales Solutions and Product teams to map customer needs to existing capabilities, prioritize roadmap gaps, and guide successful project setup
Work with other Applied AI Engineers to standardize solutions and contribute to internal tooling and best practices
Lead stakeholder education on quantitative capabilities, helping them to understand the strengths and weaknesses of different approaches and what problems are best-suited for Snorkel AI
Serve as the voice of our customers for new AI paradigms, data science workflows, and share customer feedback to product teams
Conduct one-to-few and one-to-many enablement workshops to transfer knowledge to customers considering or already using Snorkel AI
Annual travel up to 25%

What we offer

equity in the form of employee stock options

Fulltime

Senior Data Engineer – Data Engineering & AI Platforms

We are looking for a highly skilled Senior Data Engineer (L2) who can design, bu...

Location

India , Chennai, Madurai, Coimbatore

Salary:

Not provided

OptiSol Business Solutions

Expiration Date

Until further notice

Requirements

Strong hands-on expertise in cloud ecosystems (Azure / AWS / GCP)
Excellent Python programming skills with data engineering libraries and frameworks
Advanced SQL capabilities including window functions, CTEs, and performance tuning
Solid understanding of distributed processing using Spark/PySpark
Experience designing and implementing scalable ETL/ELT workflows
Good understanding of data modeling concepts (dimensional, star, snowflake)
Familiarity with GenAI/LLM-based integration for data workflows
Experience working with Git, CI/CD, and Agile delivery frameworks
Strong communication skills for interacting with clients, stakeholders, and internal teams

Job Responsibility

Design, build, and maintain scalable ETL/ELT pipelines across cloud and big data platforms
Contribute to architectural discussions by translating business needs into data solutions spanning ingestion, transformation, and consumption layers
Work closely with solutioning and pre-sales teams for technical evaluations and client-facing discussions
Lead squads of L0/L1 engineers—ensuring delivery quality, mentoring, and guiding career growth
Develop cloud-native data engineering solutions using Python, SQL, PySpark, and modern data frameworks
Ensure data reliability, performance, and maintainability across the pipeline lifecycle—from development to deployment
Support long-term ODC/T&M projects by demonstrating expertise during technical discussions and interviews
Integrate emerging GenAI tools where applicable to enhance data enrichment, automation, and transformations

What we offer

Opportunity to work at the intersection of Data Engineering, Cloud, and Generative AI
Hands-on exposure to modern data stacks and emerging AI technologies
Collaboration with experts across Data, AI/ML, and cloud practices
Access to structured learning, certifications, and leadership mentoring
Competitive compensation with fast-track career growth and visibility

Fulltime

Applied AI Engineer – Generative AI

Kodiak is redefining what AI can do in autonomy, and generative models play a cr...

Location

United States , Mountain View

Salary:

150000.00 - 250000.00 USD / Year

Kodiak Robotics

Expiration Date

Until further notice

Requirements

BS, MS, or PhD in AI, Computer Science, or a related field, or at least 2-3 years of industry experience
Experience with diffusion models, autoregressive learning, or generative AI methods
Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow
Strong understanding of uncertainty modeling and self-supervised learning
Passion for building AI that continuously adapts and learns

Job Responsibility

Develop generative models that enhance adaptability and improve AI robustness
Research and implement diffusion-based, autoregressive, and variational techniques for real-world AI applications
Apply generative methods to anticipate challenges and reinforce decision-making
Build self-improving AI pipelines that continuously refine model understanding
Optimize models for efficient, scalable, and interpretable AI decision-making

What we offer

Competitive compensation package including equity and biannual bonuses
Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Anthem, and Guardian (including a medical plan with infertility benefits)
Flexible PTO and generous parental leave policies
Office perks: dog-friendly, free catered lunch, a fully stocked kitchen, and free EV charging
Long Term Disability, Short Term Disability, Life Insurance
Wellbeing Benefits - Headspace, One Medical, Gympass, Spring Health
Fidelity 401(k)
Commuter, FSA, Dependent Care FSA, HSA
Various incentive programs (referral bonuses, patent bonuses, etc.)

Fulltime

Senior AI Engineer

As a Senior AI Engineer on our AI Engineering team, you will be responsible for ...

Location

Canada; United States

Salary:

160000.00 - 260000.00 USD / Year

Apollo.io

Expiration Date

Until further notice

Requirements

8+ years of software engineering experience with a focus on production systems
1.5+ years of hands-on LLM experience (2023-present) building real applications with GPT, Claude, Llama, or other modern LLMs
Production LLM Applications: Demonstrated experience building customer-facing, scalable LLM-powered products with real user usage (not just POCs or internal tools)
Agent Development: Experience building multi-step AI agents, LLM chaining, and complex workflow automation
Prompt Engineering Expertise: Deep understanding of prompting strategies, few-shot learning, chain-of-thought reasoning, and prompt optimization techniques
Python Proficiency: Expert-level Python skills for production AI systems
Backend Engineering: Strong experience building scalable backend systems, APIs, and distributed architectures
LangChain or Similar Frameworks: Experience with LangChain, LlamaIndex, or other LLM application frameworks
API Integration: Proven ability to integrate multiple APIs and services to create advanced AI capabilities
Production Deployment: Experience deploying and managing AI models in cloud environments (AWS, GCP, Azure)

Job Responsibility

Design and Deploy Production LLM Systems: Build scalable, reliable AI systems that serve millions of users with high availability and performance requirements
Agent Development: Create sophisticated AI agents that can chain multiple LLM calls, integrate with external APIs, and maintain state across complex workflows
Prompt Engineering Excellence: Develop and optimize prompting strategies, understand trade-offs between prompt engineering vs fine-tuning, and implement advanced prompting techniques
System Integration: Build robust APIs and integrate AI capabilities with existing Apollo infrastructure and external services
Evaluation & Quality Assurance: Implement comprehensive evaluation frameworks, A/B testing, and monitoring systems to ensure AI systems meet accuracy, safety, and reliability standards
Performance Optimization: Optimize for cost, latency, and scalability across different LLM providers and deployment scenarios
Cross-functional Collaboration: Work closely with product teams, backend engineers, and stakeholders to translate business requirements into technical AI solutions

What we offer

equity
company bonus or sales commissions/bonuses
401(k) plan
at least 10 paid holidays per year, flex PTO, and parental leave
employee assistance program and wellbeing benefits
global travel coverage
life/AD&D/STD/LTD insurance
FSA/HSA and medical, dental, and vision benefits

Fulltime

Senior Director of Engineering - Developer Experience

At JFrog, we’re reinventing DevOps to help the world’s greatest companies innova...

Location

Israel , Netanya/Tel Aviv

Salary:

Not provided

JFrog

Expiration Date

Until further notice

Requirements

A minimum of 10 years of experience in the software development world, with a strong, hands-on background in software engineering and architecture
The ability to translate business goals into a multi-year technical roadmap and communicate its value to executive stakeholders
Exceptional communication and influencing skills across all levels of the organization
Demonstrated experience managing multiple groups of developers, with a focus on building high-performing, customer-centric engineering productivity functions
Deep understanding of cloud-native development and modern CI/CD

Job Responsibility

Define a multi-year strategy, leveraging the latest advancements in AI to deliver unprecedented developer satisfaction and velocity
Define, implement, and evangelize the methodology for measuring developer productivity. Use data to identify bottlenecks and prove the ROI of your initiatives
Introduce and rapidly implement cutting-edge AI-based solutions and agents to enhance developer creativity, reduce toil, and accelerate the coding process
Lead and grow the team focused on building the essential in-house tools and infrastructure that form the backbone of our development lifecycle
Build capabilities that will empower developers to easily spin up production-like or sandbox environments, at scale and with the proper guardrails
Own the complete lifecycle for all third-party developer and engineering tools – from needs assessment and vendor selection to purchasing, implementation, and integration across the engineering organization

AI Development Engineer

NTT DATA

Location:
Canada , Toronto

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
April 19, 2026

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