Senior Engineer - AI Core Services Job at Codvo AI (Cambridge)

Senior Engineer - AI Core Services

At Codvo, software and people transformations go hand-in-hand. We are a global e...

Location

India , Bengaluru

Salary:

Not provided

Codvo AI

Expiration Date

Until further notice

Requirements

10+ years of experience in software engineering, preferably in platform or cloud-native service development using Microsoft and .NET technologies
Hands-on experience with Microsoft Azure and associated PaaS services (e.g., Azure Functions, AKS, API Management)
Strong expertise in RESTful API design, versioning, testing, and lifecycle management
Proficient in securing APIs, managing authentication/authorization and data privacy practices
Excellent problem-solving skills, with the ability to analyse complex technical challenges and propose scalable solutions
Experience working in Agile teams and collaborating across global R&D locations
Demonstrated ability to mentor junior team members fostering a culture of continuous learning and innovation
Demonstrated experience with AI frameworks, tools and Python

Job Responsibility

Build scalable, fault-tolerant cloud-native services on Microsoft Azure, ensuring high performance and reliability
Develop secure, well-documented public APIs and SDKs for consumption by internal and external developers
Collaborate with cross-functional teams to deliver end-to-end solutions across data pipelines, orchestration, and service APIs
Embed robust security controls to protect sensitive data and ensure secure access to AI services
Contribute to design reviews, code reviews, and architectural discussions to ensure engineering excellence
Mentor junior developers, encourage continuous learning, and contribute to a culture of innovation
Work with multiple teams to create AI solutions, which include AI model deployment, training, and AI tooling development

Fulltime

Senior Software Engineer - Core AI

The Experimentation Platform (ExP) team powers Microsoft’s end-to-end experiment...

Location

China , Beijing

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

5+ years of experience in software engineering OR equivalent experience
Strong coding skills in one or more languages: C#, Java, Scala, Python, or C++
Proven ability to design and deliver components of large distributed systems or data platforms
Solid understanding of data structures, algorithms, distributed system fundamentals, and debugging complex systems
Fast learner with strong communication skills and the ability to work effectively across teams

Job Responsibility

Design and build components of the experimentation platform, including large-scale data pipelines, metrics/analysis authoring, distributed workflows, and critical experiment lifecycle services
Develop high-performance and reliable systems using C#, .NET, Spark pipelines, Azure services, and modern data/compute frameworks
Integrate AI-driven agents and automation to improve debugging, monitoring, validation, and self-service capabilities for experiment owners
Optimize efficiency, cost, resource utilization, and pipeline throughput across a global fleet
Improve platform fundamentals including observability, reliability, test automation and recovery workflows
Collaborate with PMs, data scientists, platform engineers, and partner teams (across global Microsoft engineering centers) to design scalable solutions
Participate in code reviews, incident response, performance tuning, and architectural discussions
Engineer features with a strong focus on quality, transparency, resiliency, and operational excellence

Fulltime

Senior Software Engineer, Core Services

Location

United States , San Francisco; New York

Salary:

Not provided

Kiddom

Expiration Date

Until further notice

Requirements

Have you used AI agents such as Cursor or Claude Code to build software?
Have you used markdown files within your codebase to guide the behavior of the coding agent?
Have you ever built a system that uses large language models and/or RAG to solve a problem or answer a user query?
Have you debugged a microservice?
Have you used Go for high-performance microservices?
Have you deployed services in hybrid virtual instance and container environments?

Fulltime

Senior and Principal Software Engineer - Core AI

Core AI is at the forefront of Microsoft’s mission to redefine how software is b...

Location

United States , Redmond

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 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
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#, Go, Java, or Python
OR equivalent experience
6+ years technical engineering experience designing and delivering highly available, large-scale cloud services and distributed systems
Experience building AI or ML related applications
1+ years of technical engineering experience with machine learning or Artificial Intelligence (AI) systems

Job Responsibility

Design, implement and deliver AI services to support product offerings for large-scale agent observability
Collaborate closely with product management and partner teams to align technical direction with business goals
Take end-to-end responsibility for the development lifecycle and production readiness of the services you build and drive the team’s DevOps culture
Engage with customers to gather feedback and resolve complex issues
Understand Microsoft businesses and collaborate with stakeholders towards cohesive, end-to-end experiences for Microsoft customers
Innovate on technical solutions, and patterns that will improve the availability, reliability, efficiency, observability, and performance of products
Embody our culture and values

Fulltime

Senior Java Engineer – Agentic AI Driven Development - Senior Vice President

The Applications Development Technology Senior Lead Analyst is a senior-level po...

Location

Canada , Mississauga

Salary:

145100.00 - 217700.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

Core Java - Strong understanding of Java (JDK 8+, preferably Java 11/17), including multithreading, collections, garbage collection, and JVM internals
Frameworks - Extensive experience with Spring Framework (Spring Boot, Spring MVC, Spring Data JPA, Spring Security)
Middleware - Proven experience in designing and developing RESTful APIs and microservices
Relational Databases - Strong proficiency in SQL and experience with Oracle databases, including schema design, query optimization, and stored procedures
NoSQL Databases - Experience with MongoDB, including data modeling, querying, and performance tuning
CI/CD & DevOps - Hands-on experience with CI/CD tools and practices (e.g., Jenkins, GitLab CI, GitHub Actions, Maven/Gradle, Docker, Kubernetes)
Version Control - Proficiency with Git and standard branching strategies (e.g., Gitflow)
Testing - Experience with unit testing frameworks (JUnit, Mockito) and integration testing
Web Technologies (Beneficial) - Familiarity with web services (SOAP/REST), XML, JSON
AI Tools & Methodologies - Demonstrable exposure and practical experience with AI development tools such as Devin, GitHub Copilot, Claude, Anti Gravity, and Codex

Job Responsibility

Lead the design, development, and implementation of complex middleware applications using Java and Spring Boot
Architect and optimize database interactions with Oracle, SQL, and MongoDB, ensuring high performance and data integrity
Drive the adoption and continuous improvement of CI/CD pipelines to facilitate rapid and reliable software delivery
Collaborate with cross-functional teams, including product management, QA, and operations, to define requirements, design solutions, and deliver high-quality software
Mentor and provide technical guidance to junior and mid-level software engineers, fostering a culture of technical excellence and continuous learning
Actively research and experiment with AI technologies to identify opportunities for enhancing developer productivity, automating tasks, and improving software quality
Participate in code reviews, ensuring adherence to coding standards, best practices, and architectural guidelines
Troubleshoot and resolve complex technical issues, ensuring the stability and performance of production systems
Contribute to the strategic planning and technical roadmap for our middleware platforms
Conduct tasks related to feasibility studies, time and cost estimates, IT planning, risk technology, applications development, and model development

What we offer

Discover the top benefits offered to our global workforce, designed to support your well-being, growth and work-life balance. Explore a few of the highlights that make working with us rewarding.

Fulltime

Senior Software Engineer, Managed AI - AI model LifeCycle

The Senior Software Engineer for the Model LifeCycle team will contribute to bui...

Location

United States , San Francisco

Salary:

172425.00 - 209000.00 USD / Year

Crusoe

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, or a related field
Experience delivering production-ready features
Familiarity with essential cloud-based services (e.g., compute, storage, networking)
Familiarity with Generative AI (Large Language Models, Multimodal)
Experience with AI infrastructure components (training, inference)
4-5+ years of industry experience with demonstrated history of consistent success leading a varied portfolio of initiatives across your function

Job Responsibility

Implement and maintain systems for fine-tuning large foundation models (SFT, PEFT, LoRA, adapters), including multi-node orchestration, checkpointing, failure recovery, and cost-efficient scaling
Implement and maintain end-to-end training pipelines for Large Language Models
Implement components for distillation and reinforcement learning pipelines (e.g., preference optimization, policy optimization, reward modeling)
Develop and maintain core agent execution infrastructure
Implement features for dataset, model, and experiment management, focusing on versioning, lineage, evaluation, and reproducible fine-tuning
Work closely with Senior Engineers and Principal Engineers, as well as product and platform teams, to implement system abstractions and APIs
Contribute to technical discussions on training runtimes, scheduling, storage, and model lifecycle management
Engage with the open-source LLM ecosystem

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

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

New

Senior AI Engineer – LLM & Agentic Systems

Our partner, Hungary's largest agricultural machinery manufacturer, is looking f...

Location

Hungary , Budapest

Salary:

Not provided

Randstad

Expiration Date

September 30, 2026

Requirements

Relevant Education: successfully completed a degree in computer science, data science, software engineering, mathematics, or a comparable field is a big advantage
AI & ML Experience: proven track record in developing AI- or ML-based applications, ideally with a strong focus on Large Language Models (LLMs)
Programming & Frameworks: sound knowledge of Python and hands-on experience with relevant AI libraries and frameworks, such as LangChain and LangGraph
Cloud & Microservices: experience with cloud platforms (primarily Azure or AWS) and designing distributed systems or microservice architectures using Java and Spring Boot
API & Core Concepts: deep familiarity with developing and integrating APIs, container technologies (Docker, Kubernetes), prompt engineering, RAG, vector databases, and agent-based systems
CI/CD & MLOps: knowledge or experience with CI/CD, MLOps, or LLMOps practices is considered a strong plus
Consultative & Communication Skills: excellent teamwork, solution-oriented mindset, and very good English communication skills (written and spoken) to effectively advise business departments
German knowledge is a plus

Job Responsibility

Generative AI Production: Design, implement, and operate services based on modern Large Language Models (LLMs) for productive systems
Agentic Workflows: Build intelligent, autonomous agent-based workflows together with our development teams
Cloud Architecture: Design and implement scalable microservice architectures that deliver AI functionality in cloud environments (Azure, GCP or AWS)
RAG Optimization: Develop and optimize Retrieval-Augmented Generation (RAG) pipelines as well as prompt and tool integrations
Cross-Functional Integration: Partner closely with various business departments, product, data, and infrastructure teams to integrate AI solutions into existing systems and business processes
Performance & Evaluation: Ensure the performance, scalability, and reliability of AI services through monitoring, testing, and deployment, while continuously evaluating new Generative AI trends

What we offer

Fast growing company with strong and stable international background
Interesting company scope with improvement opportunities
Market level compensation package
Inspiring work atmosphere
Great team work and familiar company culture
Opportunity for joining a new Hungarain team with great ambitions
Hybrid working model (around 10% onsite)

Fulltime

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Senior Engineer - AI Core Services

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