Senior Software Engineer for Code Reviewing LLM Data Training Job at G2i Inc.

Senior Software Engineer for Code Reviewing LLM Data Training

We’re hiring Code Reviewers with deep Java expertise to review evaluations compl...

Location

Salary:

Not provided

G2i Inc.

Expiration Date

Until further notice

Requirements

5–7+ years of experience in Java development, QA, or code review
Strong knowledge of Java syntax, debugging, edge cases, and testing
Comfortable using code execution environments and testing tools
Excellent written communication and documentation skills
Experience working with structured QA or annotation workflows
English proficiency at B2, C1, C2, or Native level

Job Responsibility

Review and audit annotator evaluations of AI-generated Java code
Assess if the Java code follows the prompt instructions, is functionally correct, and secure
Validate code snippets using proof-of-work methodology
Identify inaccuracies in annotator ratings or explanations
Provide constructive feedback to maintain high annotation standards
Work within Project Atlas guidelines for evaluation integrity and consistency

Senior Software Engineer for Code Reviewing LLM Data Training

We're hiring a Code Reviewer with deep Kotlin expertise to review evaluations co...

Location

Salary:

Not provided

G2i Inc.

Expiration Date

Until further notice

Requirements

5–7+ years of experience in Kotlin development, QA, or code review
Strong knowledge of Kotlin syntax, coroutines, debugging, edge cases, and testing
Experience with Gradle, testing frameworks, and the Kotlin/JVM ecosystem
Comfortable using code execution environments and debugging tools
Excellent written communication and documentation skills
Experience working with structured QA or annotation workflows
English proficiency at B2, C1, C2, or Native level

Job Responsibility

Review and audit annotator evaluations of AI-generated Kotlin code
Assess if the Kotlin code follows the prompt instructions, is functionally correct, and secure
Validate code snippets using proof-of-work methodology
Identify inaccuracies in annotator ratings or explanations
Provide constructive feedback to maintain high annotation standards
Work within Project Atlas guidelines for evaluation integrity and consistency

What we offer

Contributions are paid weekly once approved

Senior Software Engineer for Code Reviewing LLM Data Training

We're hiring a Code Reviewer with deep C/C++ expertise to review evaluations com...

Location

Salary:

Not provided

G2i Inc.

Expiration Date

Until further notice

Requirements

5–7+ years of experience in C/C++ development, QA, or code review
Strong knowledge of C/C++ syntax, memory management, debugging, edge cases, and testing
Experience with build systems (Make, CMake, etc.) and testing frameworks
Comfortable using code execution environments and debugging tools
Excellent written communication and documentation skills
Experience working with structured QA or annotation workflows
English proficiency at B2, C1, C2, or Native level

Job Responsibility

Review and audit annotator evaluations of AI-generated C/C++ code
Assess if the C/C++ code follows the prompt instructions, is functionally correct, and secure
Validate code snippets using proof-of-work methodology
Identify inaccuracies in annotator ratings or explanations
Provide constructive feedback to maintain high annotation standards
Work within Project Atlas guidelines for evaluation integrity and consistency

What we offer

Paid weekly once approved

Senior Software Engineer for Code Reviewing LLM Data Training

We're hiring a Code Reviewer with deep Swift expertise to review evaluations com...

Location

Salary:

Not provided

G2i Inc.

Expiration Date

Until further notice

Requirements

5–7+ years of experience in Swift development, QA, or code review
Strong knowledge of Swift syntax, memory management, debugging, edge cases, and testing
Experience with Xcode, testing frameworks, and the Swift/iOS ecosystem
Comfortable using code execution environments and debugging tools
Excellent written communication and documentation skills
Experience working with structured QA or annotation workflows
English proficiency at B2, C1, C2, or Native level

Job Responsibility

Review and audit annotator evaluations of AI-generated Swift code
Assess if the Swift code follows the prompt instructions, is functionally correct, and secure
Validate code snippets using proof-of-work methodology
Identify inaccuracies in annotator ratings or explanations
Provide constructive feedback to maintain high annotation standards
Work within Project Atlas guidelines for evaluation integrity and consistency

What we offer

Paid weekly once approved

Senior Machine Learning Engineer

Security represents the most critical priorities for our customers in a world aw...

Location

India , Hyderabad

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Data Science, Engineering, or a related technical field
7+ years of overall experience
5+ years of hands‑on software engineering experience writing production‑quality code
3+ years designing and implementing end‑to‑end software systems
Solid understanding of machine learning fundamentals, model evaluation, experimentation, and performance trade‑offs
Experience building or operationalizing LLM / Generative AI systems, including RAG, prompt engineering, or agent‑based architectures
Proven ability to collaborate across disciplines and operate with autonomy at senior IC scope

Job Responsibility

Design, develop, and deploy AI / ML systems across the full lifecycle, including data ingestion, feature engineering, model training, evaluation, and production integration
Build and optimize Generative AI and LLM‑based systems, including agentic workflows, prompt engineering, retrieval‑augmented generation (RAG), and fine‑tuning approaches
Write production‑grade code (Python, C#, and/or Java) with a strong focus on scalability, performance, security, testability, and maintainability
Partner closely with engineering, product management, and applied science teams to translate business and customer requirements into robust technical solutions
Ship and operate large‑scale AI services in cloud environments, with ownership of reliability, latency, throughput, accuracy, and cost efficiency
Define and execute model evaluation strategies, including offline experiments, online monitoring, drift detection, bias analysis, and feedback loops
Implement MLOps best practices, including CI/CD for models, versioning, rollout strategies, observability, and live‑site monitoring
Apply Responsible AI principles—privacy, security, explainability, fairness, and compliance—throughout system design and deployment
Stay current with advancements in GenAI, LLM frameworks, and ML infrastructure, assessing feasibility and impact for enterprise security scenarios
Contribute technical leadership by reviewing designs, mentoring peers, and raising the overall engineering and scientific bar of the team

Fulltime

Senior Applied Scientist - Microsoft Word Copilot

Come join Microsoft Word Copilot to work on state-of-the-art services, AI soluti...

Location

Serbia , Belgrade

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

BSc in Computer Science, Electrical Engineering, Mathematics, or related disciplines or equivalent industry experience
Proficiency with Python and experience with one or more other programming languages including, but not limited to Type Script, JavaScript, C/C++
Strong software engineering fundamentals, including coding, software design, problem solving, and data analysis skills
2+ years of experience in Natural Language Processing (NLP) and Generative AI
3+ years’ experience designing and shipping ML-powered systems across the product lifecycle
Experience with guiding or mentoring applied scientists or engineers
Ability to thrive in collaborative, fast-moving, and ambiguous environments
Demonstrated growth mindset and passion for AI innovation

Job Responsibility

Drive intelligent experiences, projects, and open-ended problems through their entire lifecycle from ideation through implementation, experimentation and finally to world-wide availability
Develop, adapt and deploy Generative AI and deep learning models in real-world product scenarios
Demonstrate rigor in key scientific procedures in AI based development process, including data, training, prompt engineering and evaluation methodologies
Define and implement robust evaluation frameworks and metrics, in partnership with product teams, to measure the quality of a wide range of AI features and inform decision-making and the design of AI-powered experiences
Lead experimentation through offline evaluation and A/B testing to measure user and business impact
Collaborate with other research and engineering teams to adopt and advance state-of-the-art technologies
Follow strong engineering and documentation practices
participate actively in code reviews, bug/issue triage with the feature teams, and support well informed decisions towards business goals
Foster a healthy and inclusive team environment
provide technical leadership and mentorship to other applied scientists

Fulltime

Senior AI Engineer

We are looking for a Senior AI Engineer for a project for our international clie...

Location

Poland , Warszawa

Salary:

Not provided

Algoteque

Expiration Date

Until further notice

Requirements

5+ years of experience as a Software Engineer
2+ years hands-on experience in AI/ML or LLM-based projects
Strong Python experience (3+ years commercially)
Practical experience with OpenAI, Azure OpenAI, HuggingFace, or open-source LLMs
Experience with LangChain, LlamaIndex, or similar orchestration frameworks
Hands-on experience with vector databases (Pinecone, Qdrant, Weaviate, pgvector)
Strong understanding of RAG and data pipeline design and implementation
Experience with system architecture, APIs, integrations, and event-driven design
Hands-on experience in AWS-first environments for AI or data solutions (AWS Bedrock, serverless, IAM)
Technical leadership and mentoring skills with proven ability to guide engineering teams

Job Responsibility

Design and implement AI architectures based on LLM/GenAI technologies
Build end-to-end AI solutions including assistants, recommendations, and automation systems
Design and implement RAG (Retrieval-Augmented Generation), embeddings, vector stores, and data pipelines
Integrate AI solutions with backend systems (microservices, REST APIs, event-driven architectures)
Select appropriate models, pipelines, and tooling for specific use cases
Set up and manage AI tools like ChatGPT Enterprise, Cursor, and emerging platforms
Mentor engineers, define best practices, and perform code reviews
Monitor model performance, quality, cost, and safety in production environments
Create dashboards to track usage, adoption, team productivity, and AI system metrics
Co-create and execute the AI roadmap with product and business stakeholders

What we offer

100% remote work

Fulltime

Staff Engineer-Applied AI

Join us as a Staff Engineer-Applied AI. At Barclays, we don’t just adapt to the ...

Location

India , Bengaluru

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

A Bachelor’s degree (or above) in computer science, engineering, mathematics, or a related discipline
Experience in developing software applications for scale on cloud(AWS or Azure or GCP)
Fluent in Python or Java or GoLang programming language and frameworks
Hands-on experience in GenAI and Agentic AI frameworks such as LangGraph/LangChain, CrewAI, Strands SDK, Google ADK etc.
Familiarity on working with MCP and A2A protocols
Solid understanding of working with LLM Models, writing prompts efficiently that provides accurate context for LLM Agents
Hands-on experience in developing and deploying Agentic AI solutions using cloud native services like AWS Bedrock or Azure AI Foundry or GCP Vertex AI
Strong understanding of AI implementation in software development and legacy code transformation
Experience in developing APIs and integrating LLM models into software applications
Ability to work on system design from ideation through completion with limited supervision

Job Responsibility

Lead the development of GenAI & Agentic AI systems & solutions to build intelligent conversational AI and workflow automation for specific business domains
Design and develop Full-Stack Multi Agentic AI systems using Agentic AI frameworks, LLMs and technologies, build function tools and integrate them with Back-End systems using REST-API, MCP or A2A protocols
Design, develop and Expose Agentic AI back-end, wrap existing back-end systems with MCP Servers to other agentic front-end and agentic back-end systems
Apply context engineering techniques such as context caching, context compression etc... to improve model’s (LLM) performance and response times
Implement guardrails & policy enforcement for safety and security risks that are required to duly comply with the organization’s data privacy and security standards
Collaborate with cross-functional teams to identify requirements and develop solutions to meet business needs within the organization
Communicate effectively with both technical and non-technical stakeholders, including senior leadership
Develop and maintain tools and frameworks for prompt-based model training, evaluation, and optimization
Analyze and interpret data to evaluate model performance and identify areas of improvement
Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools

What we offer

Competitive holiday allowance
Life assurance
Private medical care
Pension contribution
Modern workspaces, collaborative areas, and state-of-the-art meeting rooms
Facilities include wellness rooms, on-site cafeterias, fitness centers, and tech-equipped workstations
Health and wellness
A place where you can belong
More than work

Fulltime

Senior Software Engineer for Code Reviewing LLM Data Training

G2i Inc.

Location:

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 18, 2026

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