Senior Full Stack Engineer (Enterprise AI Project) Job at Codvo AI

Senior Lead Software Engineer, Full Stack (Enterprise Platform Technology)

Do you love building and pioneering in the technology space? Do you enjoy solvin...

Location

United States , New York

Salary:

250800.00 - 286200.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor's Degree
At least 6 years of experience in software engineering (Internship experience does not apply)
At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

Job Responsibility

Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices and full-stack systems to create solutions that help meet regulatory needs for the company
Lead the design and implementation of AI-native software engineering harnesses that use approved models, coding agents, and developer workflows in governed control-plane capabilities
Build agentic workflow orchestration systems that support planning, code generation, validation, retry loops, human checkpoints, and controlled promotion through delivery environments
Define and implement typed input/output contracts, schemas, metadata capture, and workflow state models that make agentic execution auditable and repeatable
Develop trace capture, observability, and debugging capabilities for AI-assisted engineering workflows, including prompt/output lineage, tool-call traces, model/runtime metadata, and failure analysis
Integrate evaluation results into CI/CD and release workflows, including quality gates for fidelity, build correctness, accessibility, security, performance, and human-review outcomes
Build reusable APIs, services, developer tooling, dashboards, and reference implementations that enable teams to adopt AI-native engineering practices consistently
Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
Partner with application teams to migrate complex software and digital experiences using governed agentic workflows, while preserving engineering quality, customer experience, and enterprise controls

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

Senior Software Engineer, AI Enterprise Engineering

The AI Operations & Enablement team serves as the engine for Bentley Systems' in...

Location

United States , Philadelphia

Salary:

Not provided

Bentley Systems

Expiration Date

Until further notice

Requirements

Bachelor's or master's degree in Computer Science, Engineering, or a related field
8+ years of professional software development experience, with at least 2 years in a technical leadership or management role
Proven experience of leading hybrid software engineering teams, with a strong emphasis on managing external vendors to ensure accountability and value delivery
Prior experience of leading software teams in greenfield technology evaluations and successfully delivering proof-of-concept projects that influence long-term technical roadmaps
Proven experience in designing and building large-scale, distributed systems
Expertise in one or more object-oriented programming languages such as Python, Java, or C#
Extensive experience with cloud computing platforms (e.g., Azure, AWS, GCP)
A track record of influencing technology strategy beyond your immediate team, contributing to cross-functional architectural standards and best practices
Demonstrated experience in the commercial aspects of technology, including running RFPs, negotiating consultant SoWs or application licensing agreements, and managing vendor relationships
Experience in mentoring software engineers and helping to build a high-performing technical team, with a proven track record of contributing to their growth and development

Job Responsibility

Guide the engineering effort across a blended team, which includes our internal engineers, external consultants, and key third-party vendors, fostering a culture of innovation, collaboration, and continuous improvement
Own the architectural vision for our enterprise AI platforms. You will guide the design of the full solution, from sophisticated AI agents to the intuitive UIs that drive their adoption
Own the full lifecycle of our technology partnerships. This includes leading build-vs-buy analyses, running RFPs, negotiating contracts and SoWs with vendors, and evaluating greenfield technologies to shape the future of our enterprise AI stack
Ensure our platforms are scalable, reliable, secure, and agile in response to changing requirements. You will design an operating model that allows the team to maintain a high velocity by utilizing partner teams such as the IT Support Desk and NOC
You will champion practices like agent-driven development (ADD) to increase both velocity and quality. You champion continuous deployment practices and test-first approaches
You will partner with key internal teams (including AI Business Solutions, AI Digital Workplace, and Product & Technology “P&T”) to architect and build enterprise-scale platforms, lead the integration of 3rd party tools, and deliver agent deployment sandboxes for Bentley Copilot
You will lead technology strategy and vendor partnerships, engaging with external consultants and application vendors to conduct build-buy-wait evaluations for critical business use-cases
Requires sitting or standing at will while performing work on a computer (or any other physical requirements)
Around 25% travel is expected

What we offer

A great Team and culture
An exciting career as an integral part of a world-leading software company providing solutions for architecture, engineering, and construction
An attractive salary and benefits package
A commitment to inclusion, belonging and colleague wellbeing through global initiatives and resource groups
A company committed to making a real difference by advancing the world’s infrastructure for better quality of life, where your contributions help build a more sustainable, connected, and resilient world

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

Senior Lead Software Engineer, Full Stack

Do you love building and pioneering in the technology space? Do you enjoy solvin...

Location

United States , New York, New York; McLean, Virginia; San Francisco, California

Salary:

229900.00 - 286200.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor's Degree
At least 6 years of experience in software engineering
At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

Job Responsibility

Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices and full-stack systems to create solutions that help meet regulatory needs for the company
Lead the design and implementation of AI-native software engineering harnesses that use approved models, coding agents, and developer workflows in governed control-plane capabilities
Build agentic workflow orchestration systems that support planning, code generation, validation, retry loops, human checkpoints, and controlled promotion through delivery environments
Define and implement typed input/output contracts, schemas, metadata capture, and workflow state models that make agentic execution auditable and repeatable
Develop trace capture, observability, and debugging capabilities for AI-assisted engineering workflows, including prompt/output lineage, tool-call traces, model/runtime metadata, and failure analysis
Integrate evaluation results into CI/CD and release workflows, including quality gates for fidelity, build correctness, accessibility, security, performance, and human-review outcomes
Build reusable APIs, services, developer tooling, dashboards, and reference implementations that enable teams to adopt AI-native engineering practices consistently
Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
Partner with application teams to migrate complex software and digital experiences using governed agentic workflows, while preserving engineering quality, customer experience, and enterprise controls

What we offer

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
health, financial and other benefits
Healthy Body, Healthy Mind
Save Money, Make Money
Time, Family and Advice

Fulltime

Senior Software Engineer - Python full stack

Location

India , BENGALURU

Salary:

Not provided

Wells Fargo

Expiration Date

July 30, 2026

Requirements

4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Hands-on Spark engineer experience using: Python, Spark, Iceberg, Hive – is a must skill
Databases: Oracle, MS SQL, Teradata – One of the databases is a must
Orchestration: Autosys, Airflow (preferred) – One of them is a must
Strong SQL development and tuning skills
Proven experience supporting and optimizing large enterprise-scale data environments
Working with modern Data Warehousing, Data Lakes, and Lakehouse architectures
Monitor, tune, and troubleshoot large-scale distributed systems
Diagnose memory, performance, partitioning, and query-related inefficiencies across compute engines
Ensure system reliability, scalability, and high throughput in enterprise data environments

Job Responsibility

Lead moderately complex initiatives and deliverables within technical domain environments
Contribute to large scale planning of strategies
Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments
Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures
Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements
Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals
Lead projects and act as an escalation point, provide guidance and direction to less experienced staff

Fulltime

Senior Software Engineer - AI Engineering and Productivity

The Role The AI Engineering and Productivity team in the Global Planning, Desig...

Location

United States , Austin; Warren

Salary:

Not provided

General Motors

Expiration Date

Until further notice

Requirements

Bachelor’s Degree in Computer Science, Software Engineering, Information Systems, Engineering, or a related field, OR equivalent experience
6+ years of experience delivering enterprise or full stack software solutions using Java / JEE, Python , and preferably Angular
3+ years of experience working with complex SQL queries, functions, and stored procedures, including performance tuning and optimization against large datasets
Experience building or supporting data pipelines , ETL/ELT processes, or datacentric applications on distributed or cloud platforms (e.g., Databricks, Spark , or similar)
3+ years of experience with Kubernetes/Docker, Quarkus , and cloud platforms such as Azure, AWS , or GCP
Experience working in Agile/SCRUM development methodologies, including backlog refinement, sprint planning, and incremental delivery
Hands on experience with modern DevOps practices such as Git/GitHub, code reviews, automated builds, automated testing, and CI/CD pipelines (e.g., GitHub Actions)
Willingness and demonstrated ability to learn and apply AI concepts , including working with data and APIs that support AI/ML and LLM based solutions
Strong problem solving skills with the ability to break down complex technical and data challenges into clear, actionable steps and deliver high quality solutions
Excellent written and verbal communication skills with the ability to collaborate with both technical and nontechnical stakeholders

Job Responsibility

Design, develop, and maintain data driven and AI-enabled applications and services that support Product Development engineering teams
Write high-quality, performant SQL (queries, functions, stored procedures) for complex data transformations and modeling across enterprise data platforms (e.g., SQL Server, Oracle, PostgreSQL)
Build and optimize data pipelines and workflows in Databricks (DBX) and related tools to support batch and near realtime data processing
Develop backend services and APIs in Java and/or Python that integrate data, business rules, and user workflows into robust, reusable components
Develop enterprise grade applications using Kubernetes/Docker, Quarkus, Java, Angular, PostgreSQL, and other GM approved tools
Partner with data science and AI teams to productionize AI/ML and LLM based solutions, including feature pipelines, inference integrations, monitoring, and continuous improvement
Proactively identify and remediate issues related to code quality, patterns, performance, security, and data correctness, using code quality analysis tools and remediation techniques
Lead or contribute to solution design, including architecture, patterns, and technology choices aligned with GM standards and Statement of Technical Direction
Apply and champion software engineering best practices, including code reviews, automated testing, branching strategies, CI/CD pipelines (e.g., GitHub Actions), observability, and secure coding practices
Collaborate with cross-functional teams (product owners, data engineers, architects, business stakeholders) to refine requirements, define acceptance criteria, and deliver incremental value in an Agile/SCRUM environment

What we offer

Relocation benefits

Fulltime

Senior Java Full Stack Developer

Senior Java Full Stack Developer - Assistant Vice President is an intermediate m...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

8-12 years of professional experience as Full Stack software engineering experience in developing enterprise scale applications
Expertise in building web applications using Java, Angular/React, and Oracle/PostgreSQL technology stack
Expertise in enterprise integrations through RESTful APIs, Kafka messaging etc.
Expertise in using AI driven tools like Devin, Co-pilot, Gemini and other Gen-AI tools
Expertise in Elastic Search, NoSQL databases, and Caching solutions
Expertise in designing and optimizing the software solutions for performance and stability
Expertise in troubleshooting and problem solving
Expertise in Test driven development
Expertise in Authentication, Authorization, and Security
8-12 years of relevant experience

Job Responsibility

Work in an agile environment following through the best practices of agile Scrum
Analyze the requirements, seek clarifications, contribute to good acceptance criteria, estimate, and be committed
Take pride in designing solutions, developing the code free from defects and vulnerabilities, meeting functional and non-functional requirements by following modern engineering practices, reducing rework, continuously addressing technical debt
Contribute to overall team performance by helping others, peer reviewing the code diligently
Bring agility to application development through DevOps practices - automated builds, unit/functional tests, static/dynamic scans, regression tests etc.
Lookout for providing best possible customer support by troubleshooting, resolving production incidents and by eliminating the problems from the root level
Bring innovative solutions to reduce the operational risks by automating mundane repetitive tasks across SDLC
Learn to become full stack developer to address end-to-end delivery of user stories

Fulltime

Senior AI Solutions Engineer

The Senior AI Solutions Engineer at NTT DATA is responsible for developing and d...

Location

India , Bangalore

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field
Advanced demonstrated experience (typically 4-6 years) developing, deploying, and maintaining AI and machine learning solutions in enterprise environments
Advanced expertise in AI model development, fine-tuning, and optimization using Python and relevant frameworks
Advanced demonstrated experience implementing prompt engineering methodologies and optimizing model performance
Advanced demonstrated experience in API development and secure integration of AI-driven solutions with enterprise systems and platforms
Advanced experience building robust data pipelines, managing structured/unstructured data, and leveraging vector databases
Practical experience deploying and scaling AI applications within cloud platforms (Azure, AWS, or GCP)
Advanced demonstrated success applying DevOps and MLOps best practices to manage AI model lifecycle and deployments efficiently
Advanced proven track record ensuring security, privacy, compliance, and responsible use of AI solutions within regulated environments
Advanced experience engaging directly with clients and stakeholders, translating business requirements into effective technical solutions

Job Responsibility

Actively participating in identifying high-value use cases, assessing solution feasibility, prototyping innovative ideas, and delivering successful pilot projects
Develop, fine-tune, and deploy AI models, including large language models (LLMs) such as GPT-4 or open-source equivalents
Design and implement effective prompt engineering strategies and optimizations to enhance AI accuracy, consistency, and reliability
Engage with internal stakeholders and clients to understand business needs, translating them into actionable AI solutions
Rapidly prototype, test, and iterate AI applications using advanced Python programming and relevant frameworks
Integrate AI solutions securely with existing enterprise systems (CRM, ERP, HRIS, finance platforms, collaboration software) via API development and integration
Build, maintain, and optimize end-to-end data pipelines to ensure accurate and timely data delivery for AI models
Manage structured and unstructured datasets, leveraging vector databases and semantic search to enhance knowledge management capabilities
Deploy, manage, and scale AI solutions within cloud computing environments (Azure, AWS, GCP), ensuring high availability, performance, and cost efficiency
Implement DevOps and MLOps practices, including automated deployment, testing, monitoring, and version control, to efficiently manage the AI model lifecycle

What we offer

Workplace embraces diversity and inclusion
A place where you can grow, belong and thrive
Part of a Global Top Employer with experts in more than 50 countries

Fulltime

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Senior Full Stack Engineer (Enterprise AI Project)

Job Description

Requirements

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