AI Platform Developer Job at Randstad (Bengaluru)

GCP AI Platform Architect / Lead AI Platform Engineer

Our client is an innovative technology company specializing in the development o...

Location

Poland , Kraków

Salary:

Not provided

TeamQuest Sp. z o. o.

Expiration Date

Until further notice

Requirements

GCP Expertise (verifiable - ask for production examples): GCP is their primary cloud not secondary experience alongside AWS/Azure. Production deployments across most of: Vertex AI, Cloud Run or GKE, Pub/Sub, BigQuery, Secret Manager, VPC Service Controls, IAM + Workload Identity. Has designed for GCP from scratch, not migrated from another cloud, end-to-end ownership
AI / Backend Engineering: Python is the primary language - production-grade service/API development, not scripting or data science only. Strong track record building distributed systems and integrating LLMs.
Agentic Architecture (must be production, not PoC): Hands-on production experience with at least one: LangGraph, Google ADK, CrewAI, or custom multi-agent orchestration layer. RAG pipelines shipped to production. Google ADK: candidate must be able to explain what it is, when to use it, and how it compares to LangGraph and custom orchestration. AI agent workflows, ReAct prompting, and Function Calling in production environments
Multi-Tenant Architecture: Has designed a multi-tenant SaaS platform end-to-end - not just contributed. Can articulate tenant isolation strategies: IAM boundary design, data isolation per tenant, VPC controls.
API Design & Integrations: Proven ability to create secure, high-performance APIs capable of asynchronously managing traffic and communication between multiple decoupled services.
Enterprise Security: Practical knowledge of data isolation in multi-tenant SaaS architectures, IAM, and securing cloud-based environments.
Vector Databases: Hands-on experience with semantic search and at least one of: Pinecone, Weaviate, pgvector, or Vertex Matching Engine.

Job Responsibility

System Architecture: Design and develop a scalable, cloud-native architecture on Google Cloud Platform (GCP) that meets enterprise security and multi-tenant data isolation requirements for a SaaS environment
AI Agent Orchestration: Architect and implement autonomous, multi-step AI workflows with a clear separation of agent responsibilities (retrieval, analysis, reasoning, response generation)
Hands-on Core Development: Actively contribute to core system development-coding orchestration logic, designing services, optimizing performance, and building secure API integrations for routing queries across internal and external agents
Frontend Enablement: Design the backend layer, streaming protocols, and APIs to seamlessly support and integrate with advanced conversational UIs
Data Management & Extensibility: Build a robust backend capable of processing qualitative and social data, ensuring the platform is easily extensible to incorporate new data sources

What we offer

Attractive salary
Full remote work
Social benefits:sporto card,healthcare insurance

Fulltime

GCP AI Platform Architect / Lead AI Platform Engineer

Our client is an innovative technology company specializing in the development o...

Location

Poland , Katowice

Salary:

Not provided

TeamQuest Sp. z o. o.

Expiration Date

Until further notice

Requirements

GCP Expertise (verifiable - ask for production examples): production deployments across most of: Vertex AI, Cloud Run or GKE, Pub/Sub, BigQuery, Secret Manager, VPC Service Controls, IAM + Workload Identity
Has designed for GCP from scratch, not migrated from another cloud, end-to-end ownership
AI / Backend Engineering: Python is the primary language - production-grade service/API development, not scripting or data science only
Strong track record building distributed systems and integrating LLMs
Agentic Architecture (must be production, not PoC): Hands-on production experience with at least one: LangGraph, Google ADK, CrewAI, or custom multi-agent orchestration layer
RAG pipelines shipped to production
Google ADK: candidate must be able to explain what it is, when to use it, and how it compares to LangGraph and custom orchestration
AI agent workflows, ReAct prompting, and Function Calling in production environments
Multi-Tenant Architecture: Has designed a multi-tenant SaaS platform end-to-end - not just contributed
Can articulate tenant isolation strategies: IAM boundary design, data isolation per tenant, VPC controls

Job Responsibility

System Architecture: Design and develop a scalable, cloud-native architecture on Google Cloud Platform (GCP) that meets enterprise security and multi-tenant data isolation requirements for a SaaS environment
AI Agent Orchestration: Architect and implement autonomous, multi-step AI workflows with a clear separation of agent responsibilities (retrieval, analysis, reasoning, response generation)
Hands-on Core Development: Actively contribute to core system development-coding orchestration logic, designing services, optimizing performance, and building secure API integrations for routing queries across internal and external agents
Frontend Enablement: Design the backend layer, streaming protocols, and APIs to seamlessly support and integrate with advanced conversational UIs
Data Management & Extensibility: Build a robust backend capable of processing qualitative and social data, ensuring the platform is easily extensible to incorporate new data sources

What we offer

Attractive salary
Full remote work
Social benefits: sport card, healthcare insurance

Fulltime

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

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

Principal Power Platform AI Developer

The Principal Software Applications Development Engineer is a highly skilled sub...

Location

India , Hyderabad

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Bachelor's degree or equivalent in computer science or software engineering or related field
Extended Software Applications Engineering, Software Development experience, or related work experience
Extended experience with Programming Languages such as (but not limited to) C, C++, Java, Python
Extended experienced with Linux or Unix and Windows operating systems
Extended experience working with SQL
Extended project management experience and/or experience working in an Agile environment
Extended understanding of computer science, with specific knowledge of computer programming, application design, and user-focused features
Good team player who maintains the integrity of the team
Excellent attention to detail capabilities
Ability to understand and analyze complex systems

Job Responsibility

Develops applications that effectively accomplish client objectives and user needs
Designs and writes code for applications and maintain applications databases
Analyzes and edits existing software applications to improve and optimize functionality, fix problems, and enable their use on new hardware platforms
Remodels and adapts applications as needed to optimize performance
Identifies specific client needs and preferences related to the application
Tests applications extensively to ensure they are error and bug-free
Installs applications and acts as technical advisor
Communicates with relevant internal technical stakeholders to obtain information on project limitations, performance requirements, and interfaces
Consults with clients in the design phase to determine client needs
Produces software documentation following company software process and templates

Fulltime

Lead Front End Developer - Agentic AI Platform

At Mastercard, we’re building an Agentic AI platform to transform how our produc...

Location

United States

Salary:

130000.00 - 254000.00 USD / Year

Mastercard

Expiration Date

Until further notice

Requirements

Strong proficiency in HTML5, CSS3, JavaScript/TypeScript, and one or more modern front-end frameworks (React preferred)
Experience implementing responsive and accessible web applications (WCAG compliance)
Familiarity with RESTful APIs and integrating front-end with backend services
Understanding of UI/UX principles and ability to collaborate effectively with designers
Knowledge of version control tools (e.g., Git) and CI/CD workflows
Experience working with design systems or component libraries
Passion for delivering clean, maintainable, and scalable code

Job Responsibility

Front End Development – Build and enhance responsive, user-friendly interfaces for the Agentic AI platform using modern front-end frameworks (e.g., React, Angular, or Vue.js)
Design System Alignment – Implement Mastercard’s design guidelines, ensuring brand consistency, accessibility, and usability across the platform
Integration – Connect front-end interfaces to backend services and APIs, ensuring efficient data flow and dynamic interactions
Performance Optimization – Ensure fast load times, smooth interactions, and scalable design for a variety of devices and browsers
Testing & Quality Assurance – Write unit and integration tests and participate in code reviews to maintain high-quality standards
Continuous Improvement – Stay up to date with emerging front-end technologies and best practices to enhance platform capabilities

What we offer

insurance (including medical, prescription drug, dental, vision, disability, life insurance)
flexible spending account and health savings account
paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave)
80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire
10 annual paid U.S. observed holidays
401k with a best-in-class company match
deferred compensation for eligible roles
fitness reimbursement or on-site fitness facilities
eligibility for tuition reimbursement

Fulltime

New

Full-Stack Developer (AI-Augmented) — Integration Platform

We run a Flozic integration & automation platform — bidirectional app connectors...

Location

India , Noida

Salary:

Not provided

Appy Pie

Expiration Date

Until further notice

Requirements

1–2 years building web apps with at least one of Node.js, Python, or Angular — and willingness to work across all three
Strong JavaScript/TypeScript fundamentals
comfortable with REST APIs, JSON, and Git
Basic Linux/CLI and a sharp debugging mindset
Hands-on experience with AI coding tools (Claude, Copilot, etc.) — you treat AI as a daily tool, not a novelty
Self-starter who can pick up unfamiliar code and docs and ship independently

Job Responsibility

Develop and maintain features across the platform: Python sync/scheduler services, Node Express controllers, and the Next UI
Build and extend app connectors / MCP tool modules — read API docs, implement, and test against live APIs
Operate the platform on AWS EC2: deployments, monitoring, and debugging production issues
Support and improve Cognito (auth) and Stripe (billing) integrations
Use Claude and AI agents extensively to accelerate coding, code review, debugging, and documentation

Fulltime

Lead AI Engineer (MLX, Agentic AI, Gen AI platform Services)

Location

United States , New York; San Francisco; San Jose; Cambridge; McLean

Salary:

197300.00 - 245600.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies
At least 4 years of experience programming with Python, Go, Scala, or Java

Job Responsibility

Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One
Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more
Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One

What we offer

performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
comprehensive, competitive, and inclusive set of health, financial and other benefits

Fulltime

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AI Platform Developer

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