Generative AI Software Senior Engineer, Technology Strategy Job at Citi (Pune)

Senior Software Engineer, Managed AI - AI Platform

Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'...

Location

United States , San Francisco, CA; Sunnyvale, CA

Salary:

172425.00 - 209000.00 USD / Year

Crusoe

Expiration Date

Until further notice

Requirements

Advanced degree in Computer Science/Engineering
4-5+ years of industry experience with demonstrated history of consistent success leading a varied portfolio of initiatives across your function
Experience with distributed systems, cloud services (compute, storage, networking, database), and delivering early-stage projects quickly
Experience with Generative AI (LLMs, Multimodal) and familiar with AI infrastructure (training, inference, ETL pipelines)
Proficient with container runtimes (e.g., Kubernetes), microservices, REST APIs, gRPC, and the full software development lifecycle including CI/CD

Job Responsibility

Lead the design and implementation of core AI services, including: Resilient fault-tolerant queues for efficient task distribution
Model catalogs for managing and versioning AI models
Scheduling mechanisms optimized for cost and performance
Architect and scale infrastructure to handle millions of API requests per second
Implement robust monitoring and alerting to ensure system health and 24/7 availability
Collaborate closely with product management, business strategy, and other engineering teams to define the AI platform roadmap
Influence the long-term vision and architectural decisions of the platform
Contribute to open-source AI frameworks and actively participate in the AI community
Prototype and rapidly iterate on emerging technologies and new features

What we offer

Restricted Stock Units
Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents
Employer contributions to HSA accounts
Paid Parental Leave
Paid life insurance, short-term and long-term disability
Teladoc
401(k) with a 100% match up to 4% of salary
Generous paid time off and holiday schedule
Cell phone reimbursement
Tuition reimbursement

Fulltime

FX STIRT Technology - Senior Software Engineer (SVP)

The STIRT Engineering Lead is a London-based Senior Vice President responsible f...

Location

United Kingdom , London

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Extensive experience in software engineering within capital markets or financial services, with significant hands-on development experience in high-performance, distributed systems
Proven hands-on expertise in building low-latency, high-throughput trading systems — capable of writing, reviewing, and debugging production code alongside the team
Deep domain knowledge of markets businesses — including Short-Term Interest Rates, FX, or broader FX and Rates/Credit markets — with a strong understanding of curve construction, RFQ/pricing workflows, and electronic trading
Proven track record of defining and delivering strategic architecture for large-scale, mission-critical financial platforms, including system modernisation and legacy decommissioning programmes
Experience managing and mentoring global engineering teams across multiple time zones
Strong background in stakeholder management and trader engagement, with the ability to translate complex technical concepts into business-relevant language
Demonstrable experience evaluating, adopting, or delivering AI/ML capabilities within a financial services or trading technology context, including familiarity with model governance and responsible AI practices
Strong proficiency in Java — including core Java (JVM internals, concurrency, memory management), modern frameworks (Spring Boot), and experience building low-latency, high-throughput applications
Proven system design and architecture skills — including large-scale distributed systems, microservices, event-driven architectures, and real-time data pipelines (e.g., Solace, KDB, in-memory data grids such as Couchbase)
Market data and pricing systems — experience with real-time market data feeds, curve construction engines, and pricing libraries

Job Responsibility

Serve as the primary technology partner for STIRT traders, building trusted relationships and acting as the first point of contact for all technology needs across FX and Rates desks
Conduct regular structured engagement sessions with traders to capture workflow pain points, prioritise enhancements, and translate business requirements into actionable engineering deliverables
Partner with Desk Heads, Quants, Sales, Operations, and Risk to ensure technology solutions are aligned with front-to-back business objectives
Communicate technical strategy, delivery progress, and risk in clear, business-relevant terms to senior stakeholders including Trading Management and Technology leadership
Represent STIRT Technology in cross-functional forums, governance committees, and strategic planning sessions
Develop and maintain a comprehensive understanding of the full STIRT front-to-back workflow
Define and own the target-state technical architecture for the STIRT platform, covering all components from market data ingestion through to trade booking and risk reporting
Lead architectural decisions on system decomposition, data flow design, API contracts, event-driven patterns, and integration with upstream/downstream systems
Drive the modernisation and consolidation of legacy STIRT systems, establishing a clear migration roadmap that minimises disruption to live trading
Evaluate and govern technical trade-offs across build vs. buy, latency vs. throughput, consistency vs. availability, and monolith vs. microservices dimensions

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
Access to an array of learning and development resources

Fulltime

Principal AI Software Engineer, Senior Vice President

Are you looking for a career move that will put you at the heart of a global fin...

Location

United Kingdom , London

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Exceptional Python Expertise: Demonstrated mastery of core Python, including advanced features, performance optimization, and a deep understanding of the FastAPI framework
Prior hands-on experience with Generative AI, Large Language Model (LLM) frameworks (e.g. LangChain, LlamaIndex), and their application in enterprise environments is a must. This must be underpinned by a profound understanding of core machine learning principles, algorithms, and data science methodologies
Full Lifecycle Ownership: Extensive hands-on experience and technical authority throughout the entire software development lifecycle, from conceptualization and design to implementation, deployment, and operational ownership of enterprise software solutions, involving significant cross-functional collaboration
Strategic System Design: Significant hands-on experience in architecting and designing (architecture, design patterns, reliability, scaling) highly complex new and current systems with broad technical impact
Hands-on expertise with containerized deployment technologies (e.g. Kubernetes, OpenShift, Docker) and orchestration strategies
Hands-on experience and in-depth understanding of C++ is a significant bonus, particularly for complex code analysis, parsing, and integration into knowledge graph structures

Job Responsibility

Architect and implement cutting-edge software systems, defining the technical design for our AI solutions to ensure scalability, performance, and reliability
Drive the hands-on design, implementation, and deployment of sophisticated systems that automate the analysis of data, code, and documentation
Apply deep expertise to structure extracted knowledge within a Credit Risk Domain-aware knowledge graph, including advanced strategies for effectively modelling complex codebases, particularly C++, within this graph
Act as a critical technical partner with data scientists, business analysts, and other engineering teams to translate challenging business requirements into robust technical solutions and ensure successful, high-quality project delivery
Tackle the most complex technical challenges within our AI initiatives, providing solutions that set the standard for engineering excellence

What we offer

Generous holiday allowance starting at 27 days plus bank holidays
increasing with tenure
A discretional annual performance related bonus
Private medical insurance packages to suit your personal circumstances
Employee Assistance Program
Pension Plan
Paid Parental Leave
Special discounts for employees, family, and friends
Access to an array of learning and development resources

Fulltime

Senior Software Engineer (AI Voice Agents)

Working closely with the Engineering Manager and Product Lead, you will be a Mid...

Location

Australia , Sydney

Salary:

Not provided

Heidi

Expiration Date

Until further notice

Requirements

Mastery of Fullstack fundamentals: proficient in Python and modern frontend frameworks (React/TypeScript), capable of owning a feature from database schema to UI interaction
Applied AI & Voice fluency: working knowledge of LLM integration (RAG, prompt engineering) and audio technologies (ASR, speech processing)
Pragmatic problem solving: balance engineering purity with the need for speed
Cloud fluency (AWS or GCP): can spin up own infrastructure (containers, serverless functions) and manage CI/CD pipelines
Rigorous testing in production: implement observability and feedback loops to monitor AI features in the wild

Job Responsibility

Build end-to-end AI features: Architect and ship fullstack solutions (from React frontends to Python backend services) that leverage voice AI and LLMs to automate clinical workflows
Operationalize Voice AI: Implement and fine-tune audio processing pipelines, ensuring Automatic Speech Recognition (ASR) and LLM agents perform accurately in diverse medical environments
Bridge the gap between model and product: Translate complex feedback from clinicians into technical solutions, rapidly prototyping and deploying improvements to model behavior, prompting strategies, and audio handling
Optimise for real-time interaction: Tune fullstack performance to handle real-time audio streaming and token generation, minimizing latency
Partner with implementation and clinical teams: Shorten the feedback loop by shipping critical integrations and feature requests from concept to production in days, not quarters

What we offer

Flexible hybrid working environment, with 3 days in the office
Additional paid day off for your birthday and wellness days
Special corporate rates at Anytime Fitness in Melbourne, Sydney tbc
A generous personal development budget of $500 per annum
Learn from some of the best engineers and creatives, joining a diverse team
Become an owner, with shares (equity) in the company

Fulltime

Senior Staff Generative AI Engineer - VP

Senior Staff Generative AI Engineer– VP. At Citi, we are pioneering the future o...

Location

United States , New York

Salary:

142320.00 - 213480.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

10+ years of professional software engineering experience, demonstrating a strong track record of designing, building, and delivering scalable enterprise-grade solutions in commercial production environments, not just proofs-of-concept
Expert-level proficiency in Python is a must-have, with a deep understanding of its ecosystem for AI/ML development, data engineering, and backend services
Extensive hands-on experience with Generative AI concepts, Large Language Models (LLMs), transformer architectures, RAG, and advanced agentic frameworks (e.g., LangChain, LangGraph, Google ADK
Optionally AutoGen, CrewAI, LlamaIndex, Semantic Kernel)
Deep comfort and practical experience with containers and orchestration technologies, specifically OpenShift
Demonstrated ability to architect, develop, and deploy highly performant, large-scale AI/ML systems into production environments
Strong understanding of modern software development principles, clean code practices, data structures, algorithms, and distributed systems
Proficiency with Relational (preferably, PostgreSQL) and Vector (preferably, pgvector) databases

Job Responsibility

Architect & Build Production Systems: Lead the hands-on development of sophisticated Generative AI applications, LLM-powered solutions, and intricate agentic frameworks primarily using Python
Pioneer Automation with Agents: Design and implement intelligent agents capable of understanding, reasoning, and orchestrating complex workflows to automate critical enterprise business processes
Master Containerized Deployments: Demonstrate deep comfort and expertise with container technologies, particularly deploying and managing applications within OpenShift environments
Drive Technical Direction & Ownership: Contribute significantly to the technical strategy and roadmap for Generative AI adoption
Champion Engineering Excellence: Instill and uphold rigorous software engineering best practices, including robust testing, code reviews, documentation, and continuous integration/delivery
Innovate & Research: Stay at the bleeding edge of Generative AI, actively exploring new models, techniques, and frameworks
Mentor & Collaborate: Act as a technical leader and mentor to junior engineers, fostering a culture of knowledge sharing and continuous improvement
Iterate & Deliver: Thrive in an agile, fast-paced environment, prioritizing rapid delivery, iterative development, and adaptability
Ensure Responsible AI: Design and implement robust guardrails and ethical considerations into AI solutions

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
Access to AI-assisted development tools like Devin and Copilot
Learning resources including Udemy for Business and Pluralsight
Flexible Work Environment: hybrid working model (3 days in-office, 2 days home)

Fulltime

Senior AI Engineer, Banking Technology – Vice President

Citi’s Banking Technology organization is seeking a highly hands-on Senior AI En...

Location

Canada , Mississauga

Salary:

120800.00 - 170800.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

6–10 years of progressive software engineering experience with a strong hands‑on coding background
2+ years focused on AI software development, LLM‑based solutions, agentic systems, and/or machine learning
Demonstrated experience delivering enterprise‑scale AI capabilities into production
Strong proficiency in Python and/or Java (Spring Boot)
working knowledge of JavaScript/TypeScript (Angular, Node.js). Full‑stack experience is a plus
Solid understanding of core AI concepts such as knowledge representation, planning, and multi‑agent systems
Hands‑on experience with LLMs, RAG, prompt engineering, MCPs, and agent frameworks (e.g., Google ADK)
Practical experience with ML frameworks and libraries (TensorFlow, PyTorch, Scikit‑learn, NumPy, Pandas)
Familiarity with AI coding tools such as Devin, GitHub Copilot, and Antigravity
Strong grounding in modern engineering practices including Git, CI/CD, testing, code reviews, agile delivery, application resiliency, and security

Job Responsibility

Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements
Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint
Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals
Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency
Design, implement, and deploy scalable agentic AI frameworks and generative AI solutions for critical business use cases, ensuring robustness, performance, security, and reliability
Develop and integrate agentic AI systems leveraging multiple model providers and platforms (e.g., OpenAI, Anthropic, Google APIs)

Fulltime

Lead AI Engineer, Banking Technology - Senior Vice President

We are seeking an AI‑first Lead AI Engineer to define, architect, and deliver en...

Location

Canada , Mississauga

Salary:

145100.00 - 217700.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

10+ years of progressive software engineering experience with sustained hands‑on contributions.
3+ years of dedicated experience in AI, LLM‑based systems, and agentic architectures.
Proven success architecting and delivering multiple enterprise‑scale AI solutions into production.
Expert‑level proficiency in Python and/or Java (Spring Boot)
solid experience with JavaScript/TypeScript (Angular, Node.js).
Deep knowledge of AI fundamentals (knowledge representation, automated planning, decision‑making under uncertainty, multi‑agent systems).
Extensive hands‑on experience with LLM platforms (OpenAI, Anthropic, Google), RAG pipelines, MCPs, and agent frameworks (Google ADK).
Demonstrated effectiveness with AI coding tools (Devin, Claude Code, GitHub Copilot, Antigravity).
Strong experience with ML frameworks (TensorFlow, PyTorch) and data science libraries.
Proven ability to design and expose robust, scalable APIs for AI services.

Job Responsibility

Lead integration of functions to meet goals, deploy new products, and enhance processes
Analyze complex business processes, system processes, and industry standards to define and develop solutions to high level problems
Provide expertise in area of advanced knowledge of applications programming and plan assignments involving large budgets, cross functional project, or multiple projects
Develop application methodologies and standards for program analysis, design, coding, testing, debugging, and implementation
Utilize advanced knowledge of supported main system flows and comprehensive knowledge of multiple areas to achieve technology goals
Consult with end users to identify system function specifications and incorporate into overall system design
Allocate work, and act as an advisor/coach developers, analysts, and new team members
Influence and negotiate with senior leaders and communicate with external parties
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
Lead the design, hands‑on implementation, and deployment of scalable agentic AI and generative AI solutions for high‑impact business use cases.

Fulltime

Senior AI Engineer for Banking Technology

Citi’s Banking Technology organization is seeking a highly hands-on Senior AI En...

Location

United States , Jersey City

Salary:

142320.00 - 213480.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

Strong proficiency in Python and/or Java (Spring Boot)
working knowledge of JavaScript/TypeScript (Angular, Node.js)
Full-stack experience is a plus
Solid understanding of core AI concepts such as knowledge representation, planning, and multi-agent systems
Hands-on experience with LLMs, RAG, prompt engineering, MCPs, and agent frameworks (e.g., Google ADK)
Practical experience with ML frameworks and libraries (TensorFlow, PyTorch, Scikit-learn, NumPy, Pandas)
Familiarity with AI coding tools such as Devin, Claude Code, GitHub Copilot, and Antigravity
Strong grounding in modern engineering practices including Git, CI/CD, testing, code reviews, agile delivery, application resiliency, and security
Experience designing API-first, microservices-based and event-driven architectures, including data engineering patterns for AI systems
Hands-on experience with Docker, Kubernetes, and OpenShift

Job Responsibility

Design, implement, and deploy scalable agentic AI frameworks and generative AI solutions for critical business use cases, ensuring robustness, performance, security, and reliability
Develop and integrate agentic AI systems leveraging multiple model providers and platforms (e.g., OpenAI, Anthropic, Google APIs)
Build full-stack applications integrating LLM-driven workflows and AI coding tools (e.g., Devin, GitHub Copilot)
Drive an MVP-first, rapid-iteration approach with continuous experimentation and improvement
Define and implement metrics, evaluation strategies, and feedback loops to continuously improve AI system performance and behavior
Research, prototype, and integrate advances in agent-based, autonomous, and generative AI technologies
Contribute hands-on within cross-functional teams and provide technical guidance and mentorship to junior engineers
Ensure AI solutions are well-aligned to banking and financial services requirements, constraints, and business outcomes

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

Select Country

Generative AI Software Senior Engineer, Technology Strategy

Job Description

Job Responsibility

Requirements

Looking for more opportunities?