Generative AI Application Developer Job at Susquehanna International Group (Dublin)

AI Developer (Generative AI / Agentic AI)

The AI Developer will build and support production-ready Generative AI solutions...

Location

India , Bangalore

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

5+ years total IT/software engineering experience (enterprise applications, APIs, services)
2+ years hands-on AI/ML/GenAI experience, including building or supporting AI solutions beyond
Python (strong)
ability to build services, scripts, and automation
Experience with LLMs (APIs/providers) and understanding of risks like hallucinations and quality control
Hands-on RAG framework experience (vector DB + retrieval + grounding loop)
Exposure to Agents / agentic AI patterns (tool calling, orchestration, task decomposition)
Solid engineering fundamentals: APIs, version control, testing, troubleshooting, secure coding practices
Experience with MCP servers or MCP-style tool integrations

Job Responsibility

Build GenAI apps: Implement LLM-based features such as Q&A, summarization, extraction, and classification using prompt engineering and structured outputs
Implement RAG pipelines: Build ingestion + chunking + embeddings + retrieval flows using vector databases to ground answers in enterprise knowledge
Develop agent workflows: Create agentic automations (tool calling, task routing, multi-step workflows) using common frameworks/patterns
Enterprise integration: Integrate AI services with internal systems via APIs, auth, and approved access controls
follow enterprise engineering standards
Quality & monitoring: Add logging/telemetry and participate in evaluation/testing to catch regressions and ensure stable production behavior
Developer productivity: Use coding assistants (e.g., Copilot/Cursor-style) to accelerate development while maintaining clean code and reviews

Junior Generative AI Application Developer

Engineer the future of global finance. At Citi, our Tech team doesn't just suppo...

Location

United States , Irving

Salary:

84580.00 - 118020.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

Bachelor's degree in a technology-related discipline (e.g., Computer Science, Computer Engineering, Information Technology, MIS) with a specialization or strong coursework in Artificial Intelligence, Machine Learning, Data Science, or equivalent hands-on experience
Authorized to work in the United States without the need for employer sponsorship, now OR in the future
A proactive problem-solver who thrives on innovation and embraces challenges with enthusiasm, leveraging Generative AI to address complex business problems and create novel solutions
Possess a global outlook and a strong willingness to collaborate effectively across diverse cultures and time zones
Demonstrate excellent communication skills, project management capabilities, leadership potential, keen attention to detail, and the ability to excel within diverse teams, particularly in articulating complex AI concepts
Capable of successfully passing technical interviews, including basic algorithmic programming exercises, with demonstrated proficiency in Generative AI frameworks (e.g., TensorFlow, PyTorch, Hugging Face), model development, prompt engineering, and understanding of AI architecture
Must be collaborative and adaptable, with prior experience working on agile teams being highly desirable

Job Responsibility

Engineer the future of global finance
Thrive in an agile software development environment, crafting high-quality, scalable software solutions leveraging cutting-edge technologies, including AI-powered coding tools
Translating business requirements into robust code
Ensure adherence to stringent quality standards and provide essential support through testing cycles and post-production deployment
Utilize advanced tools for code testing and debugging
Learn from top technologists through design sessions and peer code reviews
Join a cohort of new hires to master company culture, tools, processes, and technical proficiencies

What we offer

Medical, dental & vision coverage
401(k)
Life, accident, and disability insurance
Wellness programs
Paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays

Fulltime

Junior Generative AI Application Developer

Engineer the future of global finance. At Citi, our Tech team doesn't just suppo...

Location

United States , Tampa

Salary:

76560.00 - 106840.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

Bachelor's degree in a technology-related discipline (e.g., Computer Science, Computer Engineering, Information Technology, MIS) with a specialization or strong coursework in Artificial Intelligence, Machine Learning, Data Science, or equivalent hands-on experience
Authorized to work in the United States without the need for employer sponsorship, now OR in the future
A proactive problem-solver who thrives on innovation and embraces challenges with enthusiasm, leveraging Generative AI to address complex business problems and create novel solutions
Possess a global outlook and a strong willingness to collaborate effectively across diverse cultures and time zones, understanding the global implications of AI development
Demonstrate excellent communication skills, project management capabilities, leadership potential, keen attention to detail, and the ability to excel within diverse teams, particularly in articulating complex AI concepts
Capable of successfully passing technical interviews, including basic algorithmic programming exercises, with demonstrated proficiency in Generative AI frameworks (e.g., TensorFlow, PyTorch, Hugging Face), model development, prompt engineering, and understanding of AI architecture. Strong experience in AI engineering, particularly in building agentic flows and building agents on our proprietary ARC platform, is highly valued
Must be collaborative and adaptable, with prior experience working on agile teams being highly desirable, especially in a fast-paced environment delivering AI solutions

Job Responsibility

Thrive in an agile software development environment, crafting high-quality, scalable software solutions leveraging cutting-edge technologies, including AI-powered coding tools
Translating business requirements into robust code, ensuring adherence to stringent quality standards and providing essential support through testing cycles and post-production deployment
Utilize advanced tools for code testing and debugging, while learning from top technologists through design sessions and peer code reviews
Contribute to the adoption and deployment of cutting-edge Generative AI models and solutions on diverse cloud providers such as AWS, leveraging specialized AI/ML services for scalable and efficient inference
Adhere to and implement Citi's Minimum Development Standards and Minimum Operational Standards, with a strong focus on applying MLOps best practices, ethical AI guidelines, and responsible AI development principles, particularly for managing the lifecycle of Generative AI agents
Explore and apply the latest design and software architecture patterns and frameworks, including advanced Gen AI model architectures (e.g., Transformers, GANs), prompt engineering patterns, scalable inference solutions, Microservices, APIs, Spring Core/MVC/Boot/Cloud, and RESTful services. This includes designing and building agentic flows for complex business processes
Gain exposure to various software development tools within Continuous Integration/Continuous Delivery pipelines, such as JIRA, Zephyr, GitHub, Harness, Artifactory, MLOps platforms, model versioning tools, AI-specific testing frameworks, and container orchestration platforms like OpenShift
Work with event streaming and messaging systems, including Kafka, Flink, Solace, or similar technologies, specifically for real-time data ingestion for Gen AI model training, fine-tuning, and inference
Gain hands-on experience with container technologies like Docker and Kubernetes for scalable and reproducible deployment of Gen AI models and related microservices

What we offer

medical
dental & vision coverage
401(k)
life, accident, and disability insurance
wellness programs
paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays

Fulltime

Python Developer– Generative AI & Cloud (Agentic AI)

Location

United States , Tampa, FL and Jersey City, NJ

Salary:

160000.00 USD / Year

Realign

Expiration Date

Until further notice

Requirements

Strong hands‑on experience in Python development for AI/ML workloads
Practical exposure to Generative AI models (LLMs, transformers, diffusion models)
Understanding/practical knowledge on Agentic AI frameworks
Experience working with cloud‑native AI services on GCP/AWS/Azure
Understanding of privacy‑preserving ML techniques and responsible AI practices
Experience working with prompt engineering including tool calling and guardrails
Familiarity with MLOps pipelines, model deployment, and monitoring
Ability to design scalable, production‑ready AI solutions

Job Responsibility

Design, develop, and optimize Python‑based AI/ML applications
Build, fine‑tune, and deploy Generative AI solutions using modern frameworks
Integrate AI models with cloud platforms and managed AI services
Develop scalable APIs and microservices supporting AI workloads
Collaborate with data scientists, ML engineers, and product teams to deliver end‑to‑end solutions
Implement CI/CD pipelines ensuring code quality, testing, and security
Monitor and optimize performance, reliability, and cost of cloud AI deployments
Ensure compliance with data privacy, security, and responsible AI guidelines

Fulltime

Python Developer– Generative AI & Cloud (Agentic AI)

Location

United States , Tampa, FL and Jersey City, NJ

Salary:

160000.00 USD / Year

Realign

Expiration Date

Until further notice

Requirements

Strong hands‑on experience in Python development for AI/ML workloads
Practical exposure to Generative AI models (LLMs, transformers, diffusion models)
Understanding/practical knowledge on Agentic AI frameworks
Experience working with cloud‑native AI services on GCP/AWS/Azure
Understanding of privacy‑preserving ML techniques and responsible AI practices
Experience working with prompt engineering including tool calling and guardrails
Familiarity with MLOps pipelines, model deployment, and monitoring
Ability to design scalable, production‑ready AI solutions

Job Responsibility

Design, develop, and optimize Python‑based AI/ML applications
Build, fine‑tune, and deploy Generative AI solutions using modern frameworks
Integrate AI models with cloud platforms and managed AI services
Develop scalable APIs and microservices supporting AI workloads
Collaborate with data scientists, ML engineers, and product teams to deliver end‑to‑end solutions
Implement CI/CD pipelines ensuring code quality, testing, and security
Monitor and optimize performance, reliability, and cost of cloud AI deployments
Ensure compliance with data privacy, security, and responsible AI guidelines

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

Senior Consultant - Full Stack AI Application Developer

Microsoft Industry Solutions – Global Center for Innovation and Delivery (GCID) ...

Location

India , Hyderabad

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

10+ years of overall professional experience in software engineering, application development, and solution delivery, with a strong focus on enterprise‑scale, customer‑facing engagements.
5+ years of experience in customer‑facing delivery leadership
Bachelor's degree in computer science engineering, or a related field.
Strong experience designing, building, and deploying business‑ and mission‑critical applications using .NET (C#), .NET Web APIs, Node.js.
Full‑stack development expertise across UI, API, service, domain, data, and integration layers, with proficiency in C#, JavaScript, TypeScript, Angular or React, HTML5, and CSS/SCSS.
Deep understanding of software architecture patterns and anti‑patterns for large‑scale systems, including MVC, CQRS, and Saga, with a focus on performance, scalability, and resiliency.
Excellent foundation in software engineering principles, data structures, algorithms, testing, debugging, and analytical problem‑solving.
Proficiency with cloud data platforms including Azure SQL, Cosmos DB, Azure Database for PostgreSQL, MySQL, Azure SQL Managed Instance, and MariaDB.
Experience creating reusable application frameworks and shared components that address cross‑cutting concerns such as logging, security, resiliency, and configuration management.
Hands‑on experience with multi‑threaded and parallel programming and high‑throughput service design.

Job Responsibility

Lead the technical delivery of complex, cloud‑native and AI‑enabled engagements, contributing as a hands‑on individual contributor and, where required, leading engineering teams to ensure high‑quality, predictable outcomes.
Define and drive the technology strategy for large and complex customer engagements, ensuring solutions are scalable, secure, and aligned to business objectives, architectural best practices, and Microsoft reference architectures.
Design, develop, and deploy solutions on Microsoft Azure, accelerating customer value through the effective use of Microsoft technologies, platforms, and delivery methodologies.
Applies user‑centered design principles to translate customer needs into clear technical requirements and scalable solution designs through iterative prototyping and feedback.
Provide delivery leadership by setting technical priorities, estimating effort, managing dependencies, making disciplined trade‑offs, and driving successful releases.
Ensure engineering excellence and solution quality, with accountability for the overall efficacy, performance, security, and compliance of technical delivery within assigned engagements.
Identify, assess, and manage technical risks and dependencies across projects, including defining mitigation strategies, handling escalations, and planning for both short‑ and long‑term delivery risks.
Apply information security, compliance, and assurance standards to maintain stakeholder confidence and meet customer, regulatory, and Microsoft governance requirements.
Drive innovation and digital transformation, leveraging existing intellectual property (IP), reusable assets, and best practices to improve delivery predictability and speed.
Collaborate with cross‑functional teams, including Sales, account‑aligned teams, and peers, to articulate technical value propositions and support the expansion and adoption of Microsoft cloud and AI solutions with strategic customers.

Fulltime

Consultant - Full Stack AI Application Developer

Microsoft Industry Solutions – Global Center for Innovation and Delivery (GCID) ...

Location

India , Hyderabad

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

4-10 years of professional software development experience
Bachelor's degree in computer science, Engineering, or a related discipline, or equivalent practical experience
Microsoft or cloud certifications are preferred, including but not limited to: MCSD/MCAD/MCSE, AZ-204, AI-900, AI-102, or equivalent entry- to mid-level cloud and AI certifications
Hands-on experience designing and building applications using .NET (C#), .NET Web APIs, Node.js with modern front-end technologies such as JavaScript or TypeScript, and frameworks like Angular or React
Strong understanding of application development across UI, API, service, integration, and data layers
Experience building and consuming RESTful services and integrating backend systems
Working knowledge of relational databases such as Azure SQL, Azure Cosmos DB, PostgreSQL, Azure SQL managed Instance or Azure Database for MySQL, including data access and performance considerations
Solid foundation in software engineering principles, including clean code, debugging, testing, and problem-solving
Hands-on experience integrating AI capabilities into applications, such as search, chat, recommendations, or content generation using AI services or APIs
Practical knowledge of Azure AI services, including Azure AI Foundry and Azure AI Search, and understanding of RAG (Retrieval-Augmented Generation) patterns

Job Responsibility

Design and build cloud-native, full-stack applications on Microsoft Azure, contributing across UI, API, services, and data layers with high-quality, secure, and scalable code
Collaborate with architects and senior consultants to translate business requirements into technical designs and implementation plans
participate in design reviews and solution walkthroughs
Own feature delivery end-to-end: estimate effort, implement features, write unit/integration tests, perform code reviews, and support deployment through CI/CD pipelines
Integrate backend services and data platforms, implement RESTful APIs, and ensure performance, reliability, and observability (logging, metrics, traces) for production readiness
Apply security, compliance, and Responsible AI principles across application development and operations, following Microsoft and customer governance standards
Identify technical risks and dependencies early
raise and help mitigate issues, support technical escalations, and contribute to contingency plans for smooth delivery
Reuse and contribute to shared frameworks and IP, leveraging best practices, accelerators, and patterns to improve delivery speed and predictability
Collaborate cross-functionally (e.g., project leads, delivery managers, account teams) to articulate technical value, support adoption, and ensure customer outcomes

Fulltime

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Generative AI Application Developer

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