Full-stack Senior Software Engineer, GenAI Data Products and Platform Job at Citi (London)

Full-Stack Senior Software Engineer, GenAI Data Products and Platform (VP)

This is your chance to build the foundational systems for 'Citi Assist', a Gener...

Location

United Kingdom , London

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Strong experience building and deploying production applications across the full stack
Proficiency in multiple languages, including Python and TypeScript/JavaScript (experience with Go or Java is a plus)
Deep experience working with data—whether that's building data pipelines, designing analytics systems, or creating data-driven products
Experience building user-facing features with modern frontend frameworks like React, Vue, or Angular
Strong SQL skills and experience with relational databases like Postgres
Experience building backend services and APIs that handle data at scale
Comfort with containerised environments and cloud infrastructure (we use OpenShift/Kubernetes)
Strong understanding of CI/CD pipelines, testing frameworks, and automation
Experience with data visualisation tools and techniques

Job Responsibility

Build the tools that make Assist great
Work with data across the full stack
Own your features end to end
Build with safety and quality in mind
Set the technical direction
Be a great teammate

What we offer

27 days annual leave (plus bank holidays)
A discretional annual performance related bonus
Private Medical Care & Life Insurance
Employee Assistance Program
Pension Plan
Paid Parental Leave
Special discounts for employees, family, and friends

Fulltime

Principal Data Genai Platform Engineer - Senior Vice President

Location

India , Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

12+ years of relevant experience in enterprise application development, data engineering, or AI platform engineering, with a strong track record of leadership in regulated environments
8+ years of experience leading multi-team Agile organizations (20+ engineers), including managing distributed and hybrid AI-assisted teams
Advanced expertise in Python, PySpark, and Databricks ecosystem for large-scale data processing and ELT/ETL pipelines
Proven experience architecting and implementing enterprise AI/GenAI platforms, including agentic AI frameworks, LLM integrations, and prompt engineering
Hands-on experience with AI-assisted development tools such as Devin.AI and GitHub Copilot and integrating them into engineering workflows
Strong experience with microservices architecture, APIs, and cloud-native deployment (Kubernetes/OpenShift)
Strong experience with event-driven architectures and streaming platforms (Kafka)
Deep understanding of data architecture, data mesh, data federation, and regulatory data requirements
Exceptional leadership, communication, stakeholder management, and decision-making capabilities
Experience with cloud platforms (AWS, Azure, GCP, Databricks) and modern data ecosystems

Job Responsibility

Lead multiple agile scrum teams comprising ~15+ engineers, including hybrid teams of human engineers and AI-assisted development (Devin.AI, Copilot), ensuring delivery excellence and alignment with business priorities
Define and execute the enterprise strategy for Python engineering, AI agent platforms, and full-stack data applications, aligned with Retail and Wealth Risk objectives
Serve as the senior architect and technical authority for enterprise-scale AI agents, data engineering pipelines, and microservices-based applications, ensuring scalability, resilience, and security
Drive the adoption and operationalization of AI Product Development Lifecycle (AI PDLC), including model governance, evaluation, deployment, monitoring, and compliance with Model Risk Management (MRM)
Lead development of high-volume data pipelines and data federation layers using PySpark, Databricks, Kafka, and Data Mesh architecture to support regulatory reporting (CCAR, FDIC) and risk analytics
Architect and oversee GenAI agent ecosystems using LLMs (Google ADK, Gemini/Flash), implementing Human-in-the-Loop (HITL) frameworks to ensure explainability, auditability, and compliance
Drive AI-augmented software development lifecycle, integrating tools such as Devin.AI, GitHub Copilot, and MCP platforms through advanced prompt engineering and governance guardrails
Lead microservices and cloud-native architecture using FastAPI/Spring Boot, Kubernetes/OpenShift, and CI/CD pipelines, ensuring high availability and performance
Drive engineering efficiency and standardization by reusing and repurposing enterprise-level frameworks, platforms, and tools, reducing duplication and accelerating delivery across teams
Ensure all engineering solutions incorporate data governance and non-functional requirements, including Data Quality (DQ), data lineage, data tracing, and auditability, aligned with enterprise governance processes and regulatory expectations

Fulltime

New

Senior Full-Stack Python Engineer

We are looking for a Senior Full-Stack Engineer to join a cross-functional engin...

Location

European Union

Salary:

Not provided

N-iX

Expiration Date

Until further notice

Requirements

6+ years of professional software engineering experience, with significant work in both backend and full-stack roles
Strong proficiency in Python (FastAPI, Flask, Django, or similar)
Solid experience with TypeScript and modern front-end frameworks (React, Next.js, or similar)
Hands-on experience designing and implementing microservices, APIs, and backend systems
Strong understanding of databases: relational (PostgreSQL, MySQL) and/or NoSQL (MongoDB, Firestore)
Experience with any cloud providers (AWS/Azure)
Familiarity with CI/CD pipelines, Docker, Git, and modern DevOps practices
Strong understanding of software engineering principles: scalability, reliability, performance, and security
Experience working in agile, cross-functional teams on complex products
Excellent communication skills and ability to work with both technical and non-technical stakeholders

Job Responsibility

Design, develop, and maintain backend services using Python (FastAPI, Flask, Django, or similar frameworks)
Build front-end components and UIs using TypeScript (React, Next.js, or similar frameworks)
Develop and integrate REST APIs and microservices, ensuring strong performance, reliability, and observability
Collaborate closely with GenAI engineers to integrate AI-driven features and document-processing flows
Implement data processing pipelines for structured and unstructured data
Work with Google Cloud Platform services such as Cloud Run, Cloud Functions, Pub/Sub, and Cloud Storage
Contribute to the platform’s architecture, design patterns, and technical decision-making
Write automated tests and ensure a high level of code quality, maintainability, and security
Partner with product managers, designers, and QA engineers to deliver high-quality solutions on time
Document code, service interfaces, workflows, and architectural decisions

What we offer

Flexible working format - remote, office-based or flexible
A competitive salary and good compensation package
Personalized career growth
Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
Active tech communities with regular knowledge sharing
Education reimbursement
Memorable anniversary presents
Corporate events and team buildings
Other location-specific benefits

Fulltime

Data Engineering Senior Lead Analyst - Senior Vice President

The Data Engineering Senior Lead Analyst (Data Analytics Sr Lead Analyst - C14) ...

Location

Canada , Mississauga

Salary:

145100.00 - 217700.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

10+ years of hands-on professional software engineering experience, including designing and delivering distributed systems, microservices, and full-stack applications in complex enterprise environments
Proficiency in programming in Python, JavaScript/TypeScript (React or Angular) is mandatory
Experience of using cloud services such as AWS and distributed systems such as Kubernetes, Kafka, S3, Databases like DynamoDB, MongoDB or any other NoSQL database in addition to classical RDBMS such as PostgreSQL, Oracle etc
Experience of following TDD and passionate about clean code principles
Solid understanding of GenAI principles and architectures, coupled with proficiency in frameworks and libraries (e.g., TensorFlow, PyTorch, Hugging Face Transformers) and MLOps practices for managing the lifecycle of GenAI solutions
Strong background in GenAI, including working with LLMs, Google Gemini, and vector databases (e.g. pg_vector)
experience in designing retrieval-augmented solutions is highly preferred
Solid understanding and experience of using data structures, algorithms and SQL
Able to independently work in fast paced and rapidly changing environment
Product Management Skills: Business Acumen / Roadmaps / Prioritization: Ability to collaborate with multiple stakeholders across the organization is vital. You must be able to connect technical decisions to business outcomes. This includes understanding your product's P&L, customer acquisition costs, and lifetime value. You should be adept at creating outcome-oriented roadmaps that align with business objectives, not just a list of features. This involves using sophisticated prioritization frameworks to justify your decisions with data and strategic reasoning

Job Responsibility

Conducts strategic data analysis, identifies insights and implications and make strategic recommendations, develops data displays that clearly communicate complex analysis
Mines and analyzes data from various banking platforms to drive optimization and improve data quality
Deliver analytics initiatives to address business problems with the ability to identify data required, assess time & effort required and establish a project plan
Consults with business clients to determine system functional specifications
Applies comprehensive understanding of how multiple areas collectively integrate to contribute towards achieving business objectives
Consults with users and clients to solve complex system issues/problems through in-depth evaluation of business processes, systems and industry standards
recommends solutions
Leads system change process from requirements through implementation
provides user and operational support of application to business users
Formulates and defines systems scope and goals for complex projects through research and fact-finding combined with an understanding of applicable business systems and industry standards

Fulltime

Software Development Senior Specialist Advisor

The Software Development Senior Specialist Advisor role involves designing and i...

Location

Canada , Toronto

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

8+ years’ experience using Python-based AI systems
8+ years hands-on experience with GenAI (LLMs, RAG, embeddings, prompt engineering)
Experience with traditional ML (classification, regression, NLP, time-series)
Full-stack experience (API design + UI integration) - 5+ Years
Azure cloud experience (Azure ML, Azure OpenAI, Functions, AKS) - 5+ Years
Experience working in regulated or compliance-heavy domains
Comfortable working with subject-matter experts
Strong learning mindset and adaptability
Experience building production AI systems, not just prototypes
Ability to explain AI decisions to non-technical stakeholders

Job Responsibility

Design and implement agent-based AI workflows for different domains such as: healthcare use cases (clinical assistants, triage agents, care pathway optimization, RCM automation)
Design agentic AI architectures for manufacturing workflows
Build multi-agent financial AI systems (analysis agents, compliance agents, advisory agents)
Implement RAG over financial documents, policies, contracts, and filings
Build LLM-powered systems (RAG, tool-calling agents, multi-agent orchestration)
Develop classical ML models (risk scoring, prediction, clustering, anomaly detection)
Implement HIPAA aware AI architectures with auditability and traceability
Implement GenAI systems using RAG over CRM, customer data, and content
Build full-stack applications (Python APIs, AI services, UI dashboards)
Integrate with EHRs, data lakes, and healthcare systems (FHIR/HL7 exposure preferred)

Software Development Senior Specialist Advisor

The Software Development Senior Specialist Advisor role at NTT DATA involves des...

Location

Canada , Toronto

Salary:

122648.00 - 283906.00 USD / Year

NTT DATA

Expiration Date

Until further notice

Requirements

8+ years’ experience using Python-based AI systems
8+ years hands-on experience with GenAI (LLMs, RAG, embeddings, prompt engineering)
Experience with traditional ML (classification, regression, NLP, time-series)
Full-stack experience (API design + UI integration) - 5+ Years
Azure cloud experience (Azure ML, Azure OpenAI, Functions, AKS) - 5+ Years
Experience working in regulated or compliance-heavy domains
Comfortable working with subject-matter experts
Strong learning mindset and adaptability
Experience building production AI systems, not just prototypes
Ability to explain AI decisions to non-technical stakeholders

Job Responsibility

Design and implement agent-based AI workflows for different domains such as healthcare use cases (clinical assistants, triage agents, care pathway optimization, RCM automation)
Design agentic AI architectures for manufacturing workflows
Build multi-agent financial AI systems (analysis agents, compliance agents, advisory agents)
Implement RAG over financial documents, policies, contracts, and filings
Build LLM-powered systems (RAG, tool-calling agents, multi-agent orchestration)
Develop classical ML models (risk scoring, prediction, clustering, anomaly detection)
Implement HIPAA aware AI architectures with auditability and traceability
Implement GenAI systems using RAG over CRM, customer data, and content
Build full-stack applications (Python APIs, AI services, UI dashboards)
Integrate with EHRs, data lakes, and healthcare systems (FHIR/HL7 exposure preferred)

What we offer

medical, dental, and vision insurance
flexible spending or health savings account
life and AD&D insurance
short and long term disability coverage
paid time off
employee assistance
participation in a 401k program with company match
additional voluntary or legally-required benefits

Senior Technical Product Owner

Be a part of a place where challenges are measured in billions, qubits and nanos...

Location

United States , Whippany

Salary:

170000.00 - 230000.00 USD / Year

Barclays

Expiration Date

Until further notice

Requirements

Experience with strategic technology delivery and full-stack engineering experience modernizing platforms using Java / APIs / messaging / rules-based / event‑driven architecture
Experience building lightweight operational UIs / dashboards for intraday monitoring, exceptions, and approvals to real‑time data quality
Confirmed ability to drive automation to drive operational efficiency
Act as a change agent by leveraging GenAI tools and frameworks to accelerate our innovation agenda
Comfortable working with modern tech stacks (Java, APIs, microservices, event‑driven architectures, React), DevOps tooling (GitLab, Jenkins), data models, enrichment, reconciliation feeds, lineage, and application monitoring tools (e.g., AppDynamics, ESaas)
Considerable understanding of intraday liquidity management with the ability to translate business risk and regulatory needs into clear technical outcomes
Ability to embed operational risk, controls, and resilience requirements directly into product design and prioritization decisions
Actively monitors emerging technology trends (e.g., AI‑assisted decisioning, optimization engines)
Experience as practitioner of Agile based software development practices

Job Responsibility

Lead and manage engineering teams, providing technical guidance, mentorship, and support to ensure the delivery of high-quality software solutions, driving technical excellence, fostering a culture of innovation, and collaborating with cross-functional teams to align technical decisions with business objectives
Lead engineering teams effectively, fostering a collaborative and high-performance culture to achieve project goals and meet organizational objectives
Oversee timelines, team allocation, risk management and task prioritization to ensure the successful delivery of solutions within scope, time, and budget
Mentor and support team members' professional growth, conduct performance reviews, provide actionable feedback, and identify opportunities for improvement
Evaluation and enhancement of engineering processes, tools, and methodologies to increase efficiency, streamline workflows, and optimize team productivity
Collaboration with business partners, product managers, designers, and other stakeholders to translate business requirements into technical solutions and ensure a cohesive approach to product development
Enforcement of technology standards, facilitate peer reviews, and implement robust testing practices to ensure the delivery of high-quality solutions

What we offer

Medical, dental and vision coverage
401(k)
Life insurance
Other paid leave for qualifying circumstances
Competitive holiday allowance
Life assurance
Private medical care
Pension contribution
Incentive award eligibility

Fulltime

Principal AI Architect

As a Principal AI Architect, you will define and drive the end-to-end Cloud + AI...

Location

United States , Multiple Locations

Salary:

139900.00 - 274800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience.
Master's Degree in Computer Science, Engineering or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience.
10+ experience in software engineering or solution architecture, with demonstrable success building and operating complex systems.
10+ experience designing, implementing, and optimizing AI solutions encompassing data pipelines, model training and serving, and production MLOps.
10 + years of full-stack development across frontend, backend, and cloud infrastructure, with a proficient command of data engineering, AI/ML systems, and deployment architectures.
2+ project experience with NLP and LLM-based systems.
Proficient coding skills in C#, Python, JavaScript, and React.

Job Responsibility

Own the reference architecture and technical roadmap for WWL’s AI/Agentic platform capabilities (e.g., orchestration, tools/plugins, memory, retrieval, evaluation, observability, governance).
Translate skilling business objectives into platform investments and architectural decisions, balancing speed-to-value with security, compliance, cost, and long-term maintainability.
Establish clear architectural guardrails and decision frameworks (e.g., “build vs. buy,” “Copilot Studio vs. Foundry,” “RAG vs. fine-tune,” “central vs. federated patterns”).
Lead architecture/design reviews for major initiatives
drive alignment on system boundaries, contracts, dependency management, and resiliency.
Define and standardize architecture patterns (multi-tenant SaaS, event-driven architectures, secure data access, model routing, agent safety controls).
Create reusable templates, “golden paths,” and reference implementations to accelerate engineering delivery across teams and reduce fragmentation.
Embed Responsible AI principles into agentic solution design (human-in-the-loop, safety mitigations, evaluation, transparency, and auditability).
Partner with security and compliance stakeholders to ensure services meet required controls and operational standards, and to drive alignment between policy intent and implementation.
Define secure patterns for prompt/data handling, secrets management, identity, and access governance for AI systems.

Fulltime

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Full-stack Senior Software Engineer, GenAI Data Products and Platform

Job Description

Job Responsibility

Requirements

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What we offer

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