AI Developer Engineer Job at NTT DATA (Bangalore)

AI Developer Engineer

We are looking for a skilled AI/Full Stack Developer with 4–8 years of industry ...

Location

India , Bangalore

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

4–8 years of experience in software development
Strong programming skills in Python and/or Java
Hands-on experience with React.js for front-end development
Experience with Generative AI / LLM technologies (Vertex AI, Gemini, OpenAI, or similar)
Good understanding of RAG frameworks, embeddings, vector databases, and prompt engineering
Experience working with public cloud platforms (GCP preferred, AWS/Azure acceptable)
Knowledge of API development and microservices architecture
Banking Domain Experience is must have

Job Responsibility

Design, develop, and deploy scalable applications using Python or Java
Build responsive and modern user interfaces using React.js
Develop AI-powered solutions using LLM technologies such as Vertex AI, Gemini, or similar platforms
Implement Retrieval-Augmented Generation (RAG) architectures and work with vector databases, embeddings, and semantic search
Integrate AI capabilities into enterprise applications and APIs
Work with cloud platforms (GCP preferred) for deployment, scaling, and monitoring applications
Collaborate with cross-functional teams including data engineers, architects, and product teams
Ensure best practices for code quality, security, and performance optimization

AI Solution Developer II / Senior AI Solution Developer

This role will work within our Scientific Data Technology and AI department whic...

Location

United Kingdom

Salary:

Not provided

Parexel

Expiration Date

Until further notice

Requirements

Educated to BSc. or MSc level in Engineering or Computer Science with a focus on Machine Learning (and GenAI) or other equivalent qualification/experience
Experience in Palantir Foundry, it’s ecosystem and components, including building Workshop Apps, building and deploying Modelling Objectives and managing Code Repos and Pipelines
Machine Learning, Generative AI (Gen AI), Deep Learning (building and deploying NLP systems within Palantir Foundry)
Proven CS fundamentals including data structures, algorithms, and distributed systems
Proven theoretical and practical experience in modern ML technologies, including transformers, graphical models, information retrieval techniques, LLMs, time series models, Reinforcement Learning, etc.
Proven software engineering fundamentals, including the ability to write production ready code, establish and enforce high engineering standards, architect packages, and own architectural and procedural choices for effective shared codebases within Foundry
Knowledge of Python and scientific computing packages (PyTorch, NumPy, Scikit-learn, TensorFlow)
Experience with data modeling and pipeline development in Palantir Foundry
Experience with frontend development for intuitive user experience
Practical understanding of database technologies including relational, non-relational and graph

Job Responsibility

Leverage Palantir Foundry to build and deploy reusable custom machine learning models, Ontologies and end-user applications
Design, implement, and document new ML/Gen AI modeling techniques and strategies
Develop ML pipelines and workflows in Foundry to support AI solution development and deployment
Review and adapt recent research in ML and Gen AI into Foundry-based prototypes and production solutions
Review code and pipelines of other engineers to enhance ML quality and security within Foundry
Understand business needs and user workflows and support interpretation in the context of potential AI solutions in Foundry
Support development of custom models and AI / Gen AI solutions using Foundry's ML capabilities to address business needs
Lead experiment and model evaluation design based on well-founded best practices in machine learning to ensure safe, effective, and principled AI development practices within Foundry
Carry out AI solution prototyping and experimentation using Foundry's tools, various LLMs and environments
Collaborate with Product to define and implement features to satisfy customer requirements within Foundry

What we offer

competitive base salary
holiday
private healthcare
dental insurance

Fulltime

Software Developer / Engineer - AI Specialist

Digital Stack is an all-in-one marketing and brand management platform for franc...

Location

Australia , Melbourne

Salary:

Not provided

Digital Stack

Expiration Date

Until further notice

Requirements

Have at least 5 years Typescript experience
Be able to demonstrate proficiency in solving coding problems in a live interview
Be ready to work hard to achieve success together as a team
In-depth understanding of large language models (LLMs), agentic architectures, prompt engineering, and emerging integration protocols such as MCP, with proven ability to design and deploy AI-driven solutions that are reliable, scalable, and aligned with business objectives
Excellent communication skills
At least five years of professional software development experience
Prepared to undertake a Javascript coding exercise to qualify for the role
Have the right to live and work in Australia

What we offer

Hybrid work arrangement
A fast-growing company with a passionate culture
Supportive team working with the latest technologies

Fulltime

Backend Engineer - AI Developer Platform

At N26, we are building the internal AI platform that will power the next genera...

Location

Germany , Berlin

Salary:

Not provided

N26

Expiration Date

Until further notice

Requirements

Backend engineer who enjoys building platforms and developer-facing systems
Solid experience building software products written in languages such as Kotlin, Go, Python, or TypeScript
Experience working with APIs and distributed systems
Interest in developer platforms, tooling, or internal products
Curiosity about AI and how it can improve software development workflows
Strong collaboration skills and the ability to work within a highly technical team
Curiosity and willingness to learn new things
Data driven mindset

Job Responsibility

Help build the internal AI platform used by engineering teams at N26
Developing the core services that connect internal tools to AI providers
Implementing routing, cost controls, security policies, and observability
Building tools that make AI capabilities easy and safe to consume
Contributing to a platform where teams can publish and reuse AI skills
Supporting discovery, versioning, and governance of AI capabilities
Enabling composability across different AI-powered tools
Building services that enable AI-assisted workflows for engineers
Integrating AI capabilities with internal developer platforms
Supporting experimentation and iteration on new AI-enabled developer experiences

What we offer

Accelerate your career growth by joining one of Europe’s most talked about disruptors
Employee benefits that range from a competitive personal development budget, work from home budget, discounts to fitness & wellness memberships, language apps and public transportation
Access to a Premium subscription on your personal N26 bank account
Subscriptions for friends and family members
Additional day of annual leave for each year of service
A high degree of autonomy and access to cutting edge technologies
A relocation package with visa support for those who need it

Software Engineer, AI Developer Tooling

In this role, you will redefine how engineers develop, build, test, and deploy s...

Location

United States , San Francisco; Seattle; New York

Salary:

180000.00 - 225000.00 USD / Year

Scale

Expiration Date

Until further notice

Requirements

4+ years of full-time engineering experience, post-graduation, with experience in build, test, or CI/CD systems
Extensive experience defining and evangelizing best-practices for AI development tools, including cost guardrails, security frameworks, and hosting knowledge-sharing sessions, among others
Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS preferred)
Experience configuring, testing, and enabling MCP servers, AI agents, and other associated systems
Show a track record of independent ownership of successful engineering projects
Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders
Experience working fluently with standard infrastructure, containerization, and deployment technologies like Terraform, Docker, Kubernetes, etc.
Experience with modern web frameworks like NodeJS, NextJS, etc.
Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI, Helm, ArgoCD)

Job Responsibility

Define next-generation AI development tooling and frameworks using products like Cursor, Claude Code, OpenAI Codex, and MS Copilot, as well as in-house custom-built solutions
Drive the architecture, design, and implementation of our local development process, build, test, continuous integration, and continuous delivery systems, working closely with stakeholders and internal customers to understand and refine requirements
Directly mentor software engineers ranging from new grads to experienced engineers
Proactively identify opportunities and drive improvements to software development practices, processes, tools, and languages
Present technical information to teams and stakeholders, providing guidance and insight on development processes and technologies

What we offer

Comprehensive health, dental and vision coverage
retirement benefits
a learning and development stipend
generous PTO
equity grant
commuter stipend

Fulltime

Senior Software Engineer, AI Developer Experience

As the founding engineer of the AI - Developer Experience team at Vanta, you wil...

Location

United States

Salary:

179000.00 - 244000.00 USD / Year

Vanta

Expiration Date

Until further notice

Requirements

Senior level industry experience as a software engineer with demonstrated expertise in developer tools, infrastructure, or platform engineering
Experience orchestrating AI agents and automating workflows
Experience building and scaling full-stack applications, including backend systems, APIs, and frontend interfaces
Practical experience with build systems, testing infrastructure, and CI/CD processes
A knack for rapid prototyping and shipping robust, production-ready code
Excellent collaboration and communication skills
Familiarity with TypeScript, React, or Node.js, or a willingness to learn
Open to using AI to amplify their skills and strengthen their work - demonstrating curiosity, a willingness to learn, and sound judgment in applying AI responsibly to improve efficiency and impact

Job Responsibility

Lead Vanta's AI tooling strategy for engineering, evaluating and implementing AI-powered development tools (code generation, AI-assisted code review, intelligent testing tools) that meaningfully improve developer productivity
Drive key developer experience initiatives such as bringing UI testing in-house, modularizing our codebase for improved testability and isolation, and continuously improving build and deployment systems
Design and build developer tools and infrastructure that enable engineers across all product teams to ship high-quality code efficiently
Collaborate horizontally across engineering teams to understand pain points, identify opportunities for improvement, and deliver solutions that scale across the organization
Mentor engineers on best practices for development workflows, testing approaches, and AI tool adoption

What we offer

Offers Equity
medical benefits
401(k) plan
other company perk programs
Comprehensive medical, dental, and vision coverage, with 100% of employee-only benefit premiums covered for most medical plans
16 weeks fully-paid Parental Leave for all new parents
Health & wellness stipend
Remote workspace, internet, and cellphone stipend
Commuter benefits for team members who report to the SF and NYC office
Family planning benefits

Fulltime

Principal Software Engineer, AI Developer Tools

At Docker, we make app development easier so developers can focus on what matter...

Location

United States , Seattle

Salary:

232000.00 - 319000.00 USD / Year

Docker

Expiration Date

Until further notice

Requirements

10+ years software engineering experience with 3+ years in Staff or Principal Engineer roles
Deep expertise in AI/ML technologies with hands-on production experience building LLM-powered applications, AI agents, or AI-assisted developer tools
Strong understanding of LLM APIs (OpenAI, Anthropic, etc.), prompt engineering, agent orchestration frameworks, and practical applications of AI in software development workflows
Proven track record of architecting and building highly scalable distributed systems and developer-facing platforms
Production experience with modern cloud-native infrastructure including Kubernetes, GitOps deployment patterns, observability systems, and CI/CD pipelines
Proficiency in Go (preferred), Rust, Java, or Python with strong software engineering fundamentals
Experience designing developer tools, platform engineering systems, or internal tools that enable other teams
Exceptional product and platform mindset considering business outcomes, developer experience, and technical trade-offs
Strong communication skills with ability to influence technical and non-technical stakeholders across the organization
Track record of technical mentorship and elevating engineering teams' capabilities

Job Responsibility

Define the long-term technical vision and architecture for AI-powered developer tools and the self-service platform that enables teams to build their own AI agents
Establish architectural patterns, technical standards, and best practices for LLM integration, AI agent development, and production AI systems serving developers
Lead technical strategy for platform capabilities including deployment frameworks (ArgoCD/GitOps), observability integration (Grafana), security controls, and operational tooling for AI developer tools
Design highly available, scalable infrastructure for hosting AI agents and developer tools with predictable performance and intelligent resource management
Drive technical decisions on AI technology choices, LLM provider strategies, prompt engineering approaches, and agent orchestration frameworks
Partner with Senior Manager and product leadership to align technical architecture with business objectives and productization opportunities
Architect and build production-ready AI agents for developer productivity including code review assistants, test generators, deployment diagnostics, and incident response automation
Design and implement the self-service platform infrastructure that reduces time-to-production for new AI tools from weeks to days
Build systems that accelerate adoption of AI-native development tools (Claude Code, Cursor, Warp) across Docker's engineering organization
Establish reliability, security, and performance standards for AI systems including SLOs, monitoring, incident response, and cost management

What we offer

Freedom & flexibility
fit your work around your life
Designated quarterly Whaleness Days plus end of year Whaleness break
Home office setup
we want you comfortable while you work
16 weeks of paid Parental leave
Technology stipend equivalent to $100 net/month
PTO plan that encourages you to take time to do the things you enjoy
Training stipend for conferences, courses and classes
Equity

Fulltime

Senior Software Engineer, AI Developer Tools

At Docker, we make app development easier so developers can focus on what matter...

Location

United States , Seattle

Salary:

184600.00 - 260700.00 USD / Year

Docker

Expiration Date

Until further notice

Requirements

6+ years building production-grade backend systems or developer-facing tools
Hands-on experience with AI/ML technologies such as practical production experience with LLM APIs (OpenAI, Anthropic, etc.), prompt engineering, or AI agent development
Proficiency in Go (preferred), Rust, Java, or Python with strong software engineering fundamentals
Experience designing and building distributed systems, microservices, or platform infrastructure
Strong understanding of cloud-native systems (AWS, GCP, or Azure), APIs, and data stores
Solid grasp of CI/CD, automated testing, code review practices, and modern development workflows
Product-minded approach to building developer tools with focus on user experience and measurable outcomes
Excellent communication skills in remote, asynchronous environments with ability to document technical decisions clearly
Ownership mentality with bias for action and iterative delivery
Comfortable working autonomously across distributed teams and navigating ambiguity

Job Responsibility

Build AI-Powered Developer Tools: Design, implement, and ship production-ready AI agents and tools that accelerate developer productivity such as code review and refactoring assistants, automated test generators, local environment setup tools, deployment pipeline diagnostic agents, and on-call assistance tools
Implement LLM Integrations: Build robust, production-grade integrations with LLM APIs (OpenAI, Anthropic, etc.) such as prompt engineering, response parsing, error handling, rate limiting, cost management, and performance optimization
Develop Agent Orchestration Systems: Create agent frameworks and orchestration systems that enable complex multi-step workflows, tool calling, context management, and agent-to-agent communication
Contribute to Platform Infrastructure: Build self-service platform capabilities that enable teams across Docker to rapidly deploy and operate their own AI developer tools such as deployment pipelines, observability integration, security controls, and operational tooling
Drive Adoption of AI-Native Development: Build tools and programs that accelerate adoption of AI developer tools such as Claude Code, Cursor, and Warp across Docker's engineering organization
Ensure Production Quality: Write well-tested code with strong test coverage (unit, integration, end-to-end)
establish monitoring, alerting, and operational excellence for AI systems
Collaborate Cross-Functionally: Partner with Principal Engineer on architecture, work with product and design teams on features and UX, and collaborate with platform teams (Infrastructure, Security, Data) on integrations
Participate in Operations: Take part in on-call rotation for AI developer tools
respond to incidents, debug production issues, and drive continuous improvement of system reliability

What we offer

Freedom & flexibility
fit your work around your life
Designated quarterly Whaleness Days plus end of year Whaleness break
Home office setup
we want you comfortable while you work
16 weeks of paid Parental leave
Technology stipend equivalent to $100 net/month
PTO plan that encourages you to take time to do the things you enjoy
Training stipend for conferences, courses and classes
Equity

Fulltime

Select Country

AI Developer Engineer

Job Description

Job Responsibility

Requirements

Nice to have

Looking for more opportunities?

AI Developer Engineer

AI Developer Engineer

AI Solution Developer II / Senior AI Solution Developer

Software Developer / Engineer - AI Specialist

Backend Engineer - AI Developer Platform

Software Engineer, AI Developer Tooling

Senior Software Engineer, AI Developer Experience

Principal Software Engineer, AI Developer Tools

Senior Software Engineer, AI Developer Tools

Our AI answers in your language