Python Software Engineer - Generative AI Products and Platform Job at Citi (Pune)

Lead Python and Generative AI Engineer

We're searching for a highly skilled and experienced senior engineer and Python ...

Location

Canada , Mississauga

Salary:

120800.00 - 170800.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

10+ years of experience in the software industry, with a strong emphasis on building enterprise software
6+ years of relevant experience in developing and implementing scalable and robust Python-based platforms for AI-driven applications and systems using salient Python libraries (e.g., FastAPI, Flask, Django, Pandas, NumPy, Prefect, Scikit-learn, Hugging Face)
5+ years of experience delivering complex Python-based solutions and services (e.g., backend services, APIs) into production
Demonstrated experience in managing and implementing successful projects of varying sizes and complexities
Proven understanding of Generative AI systems, AIOps, and application monitoring/evaluation
Experience with cloud architectures, with specific experience in public cloud offerings
Strong passion and proven hands-on experience integrating with AI/ML technologies, particularly using Python
Experience with software development agents, agile development, CI/CD pipelines, software testing, and code reviews
Ability to quickly learn new technologies, adjust priorities, influence highly skilled engineering teams, and guide technology decisions
Demonstrated leadership and project management skills

Job Responsibility

Lead the design, development, and maintenance of highly complex Python-based GenAI platforms, applications, services, and supporting infrastructure to ensure seamless operation, scalability, and integration of AI capabilities across various Citi business units
Engage with data science, technical, and business stakeholders to define and design overall architecture for key use-cases, specifically focusing on Python-based solutions for our lines of business
Drive the deployment of new GenAI products and process improvements, working with internal and external partners to design, validate, and deliver solutions with commercial benefit for Citi, with a strong emphasis on robust Python implementations
Resolve high-impact technical and business problems, leading projects through in-depth evaluation of complex GenAI business processes, system architecture, and industry standards, providing innovative Python-driven solutions
Provide expert guidance and advanced knowledge in Python-based programming, ensuring platform design adheres to architectural blueprints and best practices for generative models
Develop and enforce robust Python coding standards, testing methodologies, debugging practices, and implementation strategies for enterprise-grade solutions, leveraging an advanced understanding of system flow
Manage multiple concurrent initiatives and projects of varying sizes and complexity, engaging with external vendors and startups for joint initiatives and exploration of new directions, particularly those involving Python-based technologies
Cultivate a comprehensive understanding of how business, architecture, and infrastructure integrate within the GenAI ecosystem at Citi to achieve strategic goals
Serve as an advisor and coach to mid-level developers and analysts specializing in Python and GenAI technologies, fostering skill development and effective work allocation
Collaborate with Citi's Risk and Control teams to ensure best practices are followed regarding governance, risk management, standardization, and tooling for Python-based GenAI systems

Fulltime

Senior Backend Python Engineer - AI Platform

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

Proficiency in core Python and FastAPI framework
Profound understanding of software design principles, architectural patterns, and an unwavering commitment to writing clean, maintainable, and production-grade code
Experience of the full lifecycle of design, implementation and running of enterprise software solutions involving cross functional team collaboration
Experience contributing to the architecture and design (architecture, design patterns, reliability, scaling) of new and current systems
Experience with containerized deployment (Kubernetes, OpenShift etc)
Experience with DevOps, CI/CD and agile methodology

Job Responsibility

You will design, implement, build and deploy backend systems to automate the analysis of data, code and documentation, and structure the extracted knowledge in a Credit Risk Domain aware knowledge graph

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 Platform

We are looking for an AI Software Engineer with an AI-First mindset, focused on ...

Location

Spain

Salary:

Not provided

Fever

Expiration Date

Until further notice

Requirements

Bachelor’s and/or Master’s degree in Artificial Intelligence, Data Science, Mathematics, Physics, or Engineering fields
Strong proficiency in Python
Hands-on experience with integration of LLM into existing or new applications
Experience applying Retrieval-Augmented Generation (RAG), prompt engineering, and fine-tuning
Experience with Continuous integration and continuous deployment pipelines to take the code from development to production and monitoring

Job Responsibility

Configure and implement applications using Large Language Models (LLMs) and other Generative AI models (multimodal, AI agents, etc.)
Integrate AI APIs and tools from providers like OpenAI, Anthropic, Google, Meta, Hugging Face, Stability AI, and others
Continuously improve and experiment with new AI architectures, frameworks, and best practices
Collaborate with development teams to incorporate AI-powered functionalities into the engineering processes and tools

What we offer

40% discount on all Fever events and experiences
Home office friendly anywhere in Spain
Relocation package for international candidates
Health insurance and other benefits such as Flexible remuneration with a 100% tax exemption through Cobee
English Lessons
Wellhub Membership
Possibility to receive in advance part of your salary by Payflow
Attractive compensation package consisting of base salary and the potential to earn a significant bonus for top performance and Stock Options

Fulltime

Senior Software Engineer - AI Platform (Michelangelo)

This role is part of Uber’s ML Serving team within the AI Platform, responsible ...

Location

United States , Seattle, Washington; Sunnyvale, California

Salary:

202000.00 - 224000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

BS or MS in Computer Science or a related technical discipline, or equivalent experience
5+ years of full-time engineering experience
Significant experience building production-grade backend or distributed systems using Java, Go, Python, or C++
Proven ability to design, ship, and operate scalable services end to end
Strong foundation in system design, data structures, and algorithms

Job Responsibility

Design, build, and own scalable ML serving services and infrastructure components
Drive technical design decisions and lead implementation of complex systems
Partner with ML engineers and platform teams to productionize ML and generative AI models
Improve system reliability, performance, and operational excellence through automation and tooling
Mentor junior engineers and contribute to team-wide engineering best practices

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
All full-time employees are eligible to participate in a 401(k) plan
Eligible for various benefits

Fulltime

Generative Ai Software Engineer, Technology Strategy – Assistant Vice President

Do you thrive on solving complex problems and building full-stack solutions that...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Strong hands-on experience building applications using LLMs
Experience with Prompt Engineering, RAG architectures, vector databases, agent frameworks, and evaluation techniques
Exposure to frameworks such as LangChain, LangGraph, Google ADK, AutoGen, CrewAI, or similar
Strong proficiency in Python and modern backend development
Experience with TypeScript/JavaScript and modern front-end frameworks such as React
Ability to build end-to-end products from concept through deployment
Experience with Docker, Kubernetes, and cloud-native architectures
Knowledge of AWS, Azure, or GCP services
Familiarity with CI/CD, observability, and production deployment practices
Experience with PostgreSQL and NoSQL databases

Job Responsibility

Take part in design and development of user‑facing capabilities for our Technology Strategy platform and our next generation of AI agents — including the Tech Strategy Assistant and the AI Metrics Assistant

Fulltime

Senior Machine Learning Engineer, Generative AI Products

Lead comprehensive applications/web development for highly complex projects; typ...

Location

United States , Boston

Salary:

Not provided

HBS

Expiration Date

Until further notice

Requirements

Minimum of seven years’ post-secondary education or relevant work experience
Bachelor's degree in mathematics, physics, computer science, engineering, statistics, or an equivalent technical discipline desired
Minimum of five years’ software development experience with Python and SQL
Minimum of three years’ experience building pipelines to deploy NLP and deep learning models into production in a cloud environment
Minimum three years’ experience using PyTorch, Tensorflow, or MXNet, along with optimizing code for GPU clusters
Experience building advanced workflows such as retrieval augmented generation, model chaining, dynamic prompting, PEFT/SFT, etc. using Langchain and similar tools
Experience establishing model guardrails and developing bias detection and mitigation techniques for AI applications using tools such as NeMo
Experience with various embedding models and setting up and tuning vector databases to improve performance of semantic search and retrieval systems
Understand the underlying fundamentals such as Transformers, Self-Attention mechanisms that form the theoretical foundation of LLMs
Experience working with a variety of relational SQL and NoSQL databases, big data tools: Hadoop, Spark, Kafka

Job Responsibility

Build trust and collaboration by being present on-site and engaging directly with colleagues and various constituents
Architect, build, maintain, and improve new and existing suite of GenAI applications and their underlying systems
Automate machine learning pipelines, monitor performance and costs, and optimize models by using techniques such as LoRA/QLoRA
Establish reusable frameworks to streamline model building, deployment and monitoring
Incorporate comprehensive monitoring, logging, tracing, and alerting mechanisms
Build guardrails, compliance rules and oversight workflows into the GenAI application platform, such as establishing approval chains for model updates and staged rollout for production releases
Develop templates, guides and sandbox environments for easy onboarding of new contributors and experimentation with new techniques
Ensure development of user-facing applications in the GenAI application platform is easy and safe by enforcing rigorous validation testing before publishing user-generated models and implement a clear peer review process of applications
Use your entrepreneurial spirit to identify new opportunities to optimize business processes, improve consumer experiences, and prototype solutions to demonstrate value
Work closely with data scientists and analysts to create and deploy new product features online and in mobile apps

What we offer

Generous paid time off including parental leave
Medical, dental, and vision health insurance coverage starting on day one
Retirement plans with university contributions
Wellbeing and mental health resources
Support for families and caregivers
Professional development opportunities including tuition assistance and reimbursement
Commuter benefits, discounts and campus perks

Fulltime

Generative AI Software Senior Engineer, Technology Strategy

This is a hands‑on development role, working as part of a global engineering tea...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Deep hands-on knowledge of Kubernetes, developing backend platforms and engineering APIs that scale
Fluency in at least two programming language, with preference for Python, Javascript/Typescript, Golang
Experience designing control and sandboxing systems for AI research
Pytorch, TensorFlow experience
Experience maintaining and/or contributing to bug bounty and responsible disclosure programs
Understanding of LLMs and transformers
Rich understanding of vector stores and search algorithms
Large-scale ETL development
Direct engineering experience of high performance, large-scale ML systems
Hands on MLOps experience, with an appreciation of the end-to-end CI/CD process

Job Responsibility

Design and build AI agents that enable and streamline Technology Strategy processes
Translate complex LLM and agentic workflows into clear, responsive, and intuitive user experiences
Embed AI capabilities into strategic workflows to drive measurable productivity gains
Enable real-time and streaming AI outputs (chat, reasoning traces, document generation, workflow automation)
Design and build high-quality, highly reliable products with user experience at the centre
Continually iterate and scale Generative AI products, whilst listening to the needs of the customers (internal)
Be responsible for engineering innovative, best in class AI platforms for the bank
Maintain strong engineering discipline (clean architecture, componentisation, performance optimisation, testing, documentation, adherence to PM standards)
Mentor and nurture other engineers to help them grow their skills and expertise

Fulltime

Staff Software Engineer, AI Agent Platform

The Geico AI Agent Platform team is seeking an exceptional Staff Software Engine...

Location

United States , Chevy Chase; New York City

Salary:

115000.00 - 260000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, Engineering, Mathematics, or a related field
an advanced degree (master’s or Ph.D.) is highly desirable
6+ years of hands-on experience in designing, implementing, and maintaining multi-tenant AIML systems and platforms in production environments
6+ years of experience working with cloud platforms such as Azure and AWS
Extensive expertise in designing and deploying large-scale data pipelines and real-time inference systems and managing the end-to-end AI Agent and/or AIML system development lifecycles, including configuration, evaluation, monitoring, observability and AuthN/AuthR considerations
6+ years of experience working with common backend systems & tools (e.g, Kubernetes, Temporal, OpenSearch, PostgreSQL, Redis, Neo4J, etc.)
Deep understanding of Docker, container optimization, and multi-stage builds
Experience with Prometheus, Grafana, Open Telemetry and distributed tracing
3+ years of experience building front-end web applications using frameworks such as React and/or Next.JS
Deep proficiency in programming languages such as Python, Java, Go, etc., with a strong emphasis on coding excellence

Job Responsibility

Architect and implement scalable multi-tenant backend systems for building AI agent workflows, including agent configuration, offline evaluation, synthetic data generation, workflow simulation, agent marketplace, etc. using Azure Kubernetes Service (AKS), FastAPI, etc., ensuring economy of scale and control cost of maintenance
Collaborate with Design team to architect and implement frontend experiences and workflows for onboarding both technical and non-technical stakeholders, maximizing user adoption and successful AI agent development
Develop observability frameworks to ensure 99.9%+ uptime for AI agent platforms through robust monitoring, alerting, and incident response procedures
Evaluate and (if desirable) integrate cutting-edge GenAI frameworks, libraries and vendors to maintain a state-of-the-art technology stack, including hybrid cloud solutions with AWS/GCP as backup or specialized use cases
Architect and implement scalable, high-performance machine learning platforms and systems capable of processing large data volumes and supporting real-time decision making and workflows
Oversee the end-to-end lifecycle of AI agent applications, ensuring robust testing, deployment, and ongoing monitoring
Ensure adherence to company production readiness standards, security protocols, and regulatory compliance throughout the development lifecycle
Continuously optimize platform performance, reducing latency and improving throughput for AI agent workloads
Design and implement backup, recovery, and business continuity plans for hosted platform applications & services
Design and maintain robust CI/CD pipelines for ML model deployment using Azure DevOps, GitHub Actions, and MLOps tools

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

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Python Software Engineer - Generative AI Products and Platform

Job Description

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