Software Engineer for AI Training Job at G2i Inc.

AI Software Engineer III

Planet DDS is a leading provider of a platform of cloud-based solutions that emp...

Location

United Kingdom , Glasgow

Salary:

Not provided

Planet DDS

Expiration Date

Until further notice

Requirements

5-7 years of professional software engineering experience
At least 4 years in AI/ML-focused roles
Bachelor’s or Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or related field
Experience working in a SaaS or enterprise software environment
Publications or contributions to open-source AI/ML projects
Exposure to reinforcement learning, generative AI (LLMs, diffusion models), or real-time inference systems

Job Responsibility

Design, develop, and deploy AI and machine learning models in production environments
Architect scalable solutions that integrate AI capabilities into our products and services
Collaborate with data scientists, product managers, and backend/front-end engineers to translate prototypes into reliable, maintainable code
Own end-to-end development of AI systems, including data ingestion, model training, evaluation, and deployment
Implement best practices in model versioning, monitoring, and continuous improvement
Contribute to the evolution of our AI/ML infrastructure, including CI/CD pipelines and MLOps tools
Stay current on advancements in AI, ML, and deep learning and assess their applicability to business needs
Ensure AI solutions are ethical, interpretable, and aligned with regulatory requirements

Fulltime

Senior Software Engineer – AI

NStarX is seeking a highly skilled Senior Software Engineer – AI with a strong f...

Location

India , Hyderabad

Salary:

Not provided

NStarX

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field (PhD is a plus)
9+ years of experience in AI/ML engineering or related roles
3+ years of experience in Generative AI with team leadership responsibilities
Proven track record of production-grade ML and GenAI model development and deployment
Programming: Python (preferred)
GenAI Frameworks: Hugging Face Transformers, Diffusers, LangChain, TGI
Serving & Inference: FastAPI, gRPC, NVIDIA Triton, TorchServe
Cloud Platforms: AWS (SageMaker, EKS), GCP (Vertex AI, GKE), Azure (Azure ML, AKS)
MLOps & DevOps: Kubeflow, MLflow, GitHub Actions, Jenkins, Helm, Terraform
Optimization Techniques: Model quantization, distillation, pipeline and tensor parallelism

Job Responsibility

Design, develop, and deploy machine learning models and AI algorithms to address complex business challenges
Lead and mentor a team of AI/ML engineers, ensuring quality and scalability in solution design and implementation
Collaborate closely with cross-functional teams including data scientists, software engineers, product managers, and UX designers
Lead the development and deployment of Generative AI applications across text, code, image, and audio modalities using state-of-the-art LLMs
Design and implement CI/CD pipelines for the GenAI model lifecycle including training, validation, packaging, and deployment
Apply best practices for model performance tuning, cost optimization, and scalable deployment in cloud and hybrid environments
Develop prompt engineering, fine-tuning strategies (LoRA, QLoRA, PEFT), and evaluation protocols tailored to business use cases
Stay current with emerging trends in AI, ML, and Generative AI and drive adoption across teams
Document processes, model architectures, and deployment strategies for traceability and knowledge sharing
Work closely with cross-functional teams to gather requirements and deliver high-quality solutions

What we offer

Competitive salary aligned with market standards
Opportunities for professional development and skill enhancement
A collaborative and innovative work environment

Fulltime

Software Engineer, AI Infrastructure

As a Software Engineer on our AI Infrastructure team, you will help design the c...

Location

United States , New York, NY; San Mateo, CA

Salary:

Not provided

Fireworks AI

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience)
3 years of experience in software engineering, with a focus on infrastructure or machine learning systems
Strong programming skills in Python, Go, or a similar language
Proven experience in ML infrastructure and tooling (e.g., PyTorch, MLflow, Vertex AI, SageMaker, Kubernetes, etc.)
Basic understanding of LLM knowledge (e.g., context length, disaggregated prefill, KV cache memory estimation, etc)

Job Responsibility

Contribute to the design and development of scalable backend infrastructure that supports distributed training, inference, and data pipelines
Build and maintain core backend services such as LLM CI/CD pipeline, control plane, and model serving systems
Support performance optimization, cost efficiency, and reliability improvements across compute, storage, and networking layers
Building frameworks and safeguards to ensure Fireworks AI has the best model quality in the industry
Collaborate with performance, training, and product teams to translate research and product needs into infrastructure solutions
Participate in code reviews, technical discussions, and continuous integration and deployment processes

What we offer

Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation

Fulltime

Software Engineer (AI)

We're building a small team of 3 AI-specialist software engineers who embed dire...

Location

Portugal , Porto

Salary:

Not provided

Capital on Tap

Expiration Date

Until further notice

Requirements

4+ years hands-on experience in C#, .NET Core
Proven experience building agents and automation powered by AI
Experience integrating with LLMs or other AI technologies
Good testing practices, in both Unit and Integration testing
Experience in using Agile development practices
A passion for learning and teaching new skills and technologies
A proactive, supportive, and collaborative team player

Job Responsibility

Embed within product teams to co-deliver AI-powered features like chatbots, OCR tools, and transaction enrichment systems
Write production code alongside the team, ensuring they understand the architecture and can maintain it post-launch
Run workshops and training sessions to build AI competency across the Engineering department
Establish best practices for testing and evaluating non-deterministic AI systems
Create documentation, patterns, and example code for common AI implementation scenarios
Help teams identify where AI could add value to their product roadmap
Act as the quality owner for AI delivery across the company

AI Software Engineer - NLP/LLM

At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s o...

Location

United States , New York

Salary:

159300.00 - 230850.00 USD / Year

Moody's

Expiration Date

Until further notice

Requirements

5+ years of demonstrated experience building production-grade machine learning systems with measurable impacts
expertise in NLP and search and recommendation systems is preferred
Hands-on experience with large language model (LLM) applications and AI agents, including retrieval-augmented generation, prompt optimization, fine-tuning, agent design, and evaluation methodologies
familiarity with prompt optimization frameworks like DSPy is preferred
Deep expertise in machine learning models and systems design, including classic models (e.g., XGBoost), modern deep learning and graph machine learning architectures (e.g., transformers-based models, graph neural networks (GNN)), and reinforcement learning systems
Proven ability to take models and agents from research to production, including optimization for latency and cost, implementation of monitoring and tracing, and development of reusable platforms or frameworks
Strong technical leadership and mentorship skills, with a track record of growing engineers, improving team velocity through automation, documentation, and tooling, and influencing architectural decisions without direct authority
Excellent communication and strategic thinking abilities, capable of aligning technical decisions with business outcomes, navigating ambiguity, and driving cross-functional collaboration
Bachelor’s degree or higher in Computer Science, Engineering, or a related field

Job Responsibility

Design and deploy end to end AI and machine learning solutions including machine learning and graph-based models, natural language processing (NLP) models, and large language model (LLM) based AI agents
Build robust pipelines for data ingestion, feature engineering, model training, validation, and real-time or batch inference
Develop and integrate large language model (LLM) applications using techniques such as fine-tuning, retrieval-augmented generation, and reinforcement learning
Build autonomous agents capable of multi-step reasoning and tool use in production environments
Lead the full model and agent development lifecycle, from problem definition and data exploration through experimentation, implementation, deployment, and monitoring
Ensure solutions are scalable, reliable, and aligned with business goals
Advocate and implement machine learning operations (MLOps) best practices including data monitoring and tracing, error analysis, automated retraining, model and prompt versioning, business metrics monitoring, and incident response
Collaborate across disciplines and provide technical leadership, working with product managers, engineers, and researchers to deliver impactful solutions
Mentor team members, lead design reviews, and promote best practices in AI and machine learning systems development

What we offer

medical
dental
vision
parental leave
paid time off
a 401(k) plan with employee and company contribution opportunities
life, disability, and accident insurance
a discounted employee stock purchase plan
tuition reimbursement

Fulltime

Senior Software Engineering Educator

Our Engineering Training team is looking for a software engineer and educator wh...

Location

United States; Canada , San Francisco; New York; Portland

Salary:

166600.00 - 208300.00 USD / Year

Mercury

Expiration Date

Until further notice

Requirements

Has 5+ years of shipping quality software into production while mentoring peer software engineers in a start-up environment
Communicates clearly and gives actionable, direct, kind feedback
Enjoys turning fuzzy goals into simple, repeatable programs
Knows when to lean into 1:1 sessions or organizational legwork to drive adoption or improve learning outcomes
Models a care of craftsmanship and healthy engineering habits, including thoughtful AI usage
Loves turning passive, explanatory content into active, exercise-centric learning resources

Job Responsibility

Stand up a mentorship-focused initiative for Senior Software Engineers, from pilot to broader rollout
Incorporate AI best practices into coaching and materials so AI usage strengthens, not erodes, engineering excellence
Do the operational work that drives adoption: scheduling, facilitation, follow-ups, and iteration based on feedback
Collaborate closely with training team members and cross-functional partners to drive broader skill acquisition efforts

What we offer

base salary
equity (stock options)
benefits

Fulltime

AI Engineering Manager - Internal AI Agent

We are looking for an AI Engineering Manager to drive Mirakl's internal AI trans...

Location

France , Paris

Salary:

Not provided

Mirakl

Expiration Date

Until further notice

Requirements

7+ years of experience in AI/ML or software engineering
Proven track record building AI agents using LLMs, RAG, MCP and related technologies
Strong technical proficiency in Python and multiple programming languages, with architectural design experience
Production deployment expertise - you've shipped AI solutions to real users
Technical pragmatism - ability to match the right technology to the use case
Curiosity and continuous learning - you stay current with AI/ML trends
1+ years experience as a Lead or management roles (team management or technical leadership)
Strong leadership skills - you inspire and develop high-performing engineering teams
Cross-functional stakeholder management - you build relationships and excel at working with all organizational levels & functions
Strong communication & presentation skills - in both English and French

Job Responsibility

Partner closely with Mirakl teams & leadership to identify & prioritize opportunities, redesign workflows around AI agents, and drive adoption at scale
Lead and mentor a team of cross-functional AI engineers, defining your team’s roadmap to support strategic AI initiatives
Build advanced Mirakl-specific AI agents centrally, owning the complete delivery cycle from discovery to production deployment and operations
Foster organization-wide AI adoption by animating internal communities, providing self-service tools, training & support to empower teams as autonomous AI builders
Establish & scale technical standards & stack to ensure secure, compliant & high-quality deliverables across all internal AI projects
Explore emerging AI paradigms, evaluate new tools and technologies, and maintain active technology watch

AI Engineering Manager - Internal AI Agent

We are looking for an AI Engineering Manager to drive Mirakl's internal AI trans...

Location

France

Salary:

Not provided

Mirakl

Expiration Date

Until further notice

Requirements

7+ years of experience in AI/ML or software engineering
Proven track record building AI agents using LLMs, RAG, MCP and related technologies
Strong technical proficiency in Python and multiple programming languages, with architectural design experience
Production deployment expertise - you've shipped AI solutions to real users
Technical pragmatism - ability to match the right technology to the use case
Curiosity and continuous learning
1+ years experience as a Lead or management roles (team management or technical leadership)
Strong leadership skills
Cross-functional stakeholder management
Strong communication & presentation skills - in both English and French

Job Responsibility

Partner closely with Mirakl teams & leadership to identify & prioritize opportunities, redesign workflows around AI agents, and drive adoption at scale
Lead and mentor a team of cross-functional AI engineers, defining your team’s roadmap to support strategic AI initiatives
Build advanced Mirakl-specific AI agents centrally, owning the complete delivery cycle from discovery to production deployment and operations
Foster organization-wide AI adoption by animating internal communities, providing self-service tools, training & support to empower teams as autonomous AI builders
Establish & scale technical standards & stack to ensure secure, compliant & high-quality deliverables across all internal AI projects
Explore emerging AI paradigms, evaluate new tools and technologies, and maintain active technology watch

Software Engineer for AI 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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Job Description:

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