Junior GenAI Engineer Job at LeverX

Senior ML Engineer (GenAI, AWS)

Provectus helps companies adopt ML/AI to transform the ways they operate, compet...

Location

Colombia , Medellín; Bogotá; Cali; Barranquilla; Bucaramanga

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

ML Fundamentals: supervised, unsupervised, and reinforcement learning
Model Development: feature engineering, model training, evaluation, hyperparameter tuning, and validation
ML Frameworks: classical ML libraries, TensorFlow, PyTorch, or similar frameworks
Deep Learning: CNNs, RNNs, Transformers
LLM Applications: Experience building production LLM-based applications
Prompt Engineering: Ability to design effective prompts and chain-of-thought strategies
RAG Systems: Experience building retrieval-augmented generation architectures
Vector Databases: Familiarity with embedding models and vector search
LLM Evaluation: Experience with evaluation metrics and techniques for LLM outputs
Python: Advanced proficiency in Python for ML applications

Job Responsibility

Design and implement end-to-end ML solutions from experimentation to production
Build scalable ML pipelines and infrastructure
Optimize model performance, efficiency, and reliability
Write clean, maintainable, production-quality code
Conduct rigorous experimentation and model evaluation
Troubleshoot and resolve complex technical challenges
Mentor junior and mid-level ML engineers
Conduct code reviews and provide constructive feedback
Share knowledge through documentation, presentations, and workshops
Collaborate with cross-functional teams (DevOps, Data Engineering, SAs)

What we offer

Long-term B2B collaboration
Fully remote setup
A budget for your medical insurance
Paid sick leave, vacation, public holidays
Continuous learning support, including unlimited AWS certification sponsorship

Fulltime

Senior ML Engineer (GenAI, AWS)

Location

Colombia , Medellín; Bogotá; Cali; Barranquilla; Bucaramanga

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

ML Fundamentals: supervised, unsupervised, and reinforcement learning
Model Development: feature engineering, model training, evaluation, hyperparameter tuning, and validation
ML Frameworks: classical ML libraries, TensorFlow, PyTorch, or similar frameworks
Deep Learning: CNNs, RNNs, Transformers
LLM Applications: Experience building production LLM-based applications
Prompt Engineering: Ability to design effective prompts and chain-of-thought strategies
RAG Systems: Experience building retrieval-augmented generation architectures
Vector Databases: Familiarity with embedding models and vector search
LLM Evaluation: Experience with evaluation metrics and techniques for LLM outputs
Python: Advanced proficiency in Python for ML applications

Job Responsibility

Design and implement end-to-end ML solutions from experimentation to production
Build scalable ML pipelines and infrastructure
Optimize model performance, efficiency, and reliability
Write clean, maintainable, production-quality code
Conduct rigorous experimentation and model evaluation
Troubleshoot and resolve complex technical challenges
Mentor junior and mid-level ML engineers
Conduct code reviews and provide constructive feedback
Share knowledge through documentation, presentations, and workshops
Collaborate with cross-functional teams (DevOps, Data Engineering, SAs)

What we offer

Long-term B2B collaboration
Fully remote setup
A budget for your medical insurance
Paid sick leave, vacation, public holidays
Continuous learning support, including unlimited AWS certification sponsorship

Fulltime

Senior Ml Engineer (Genai, Aws)

Provectus helps companies adopt ML/AI to transform the ways they operate, compet...

Location

Colombia , Medellín

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

ML Fundamentals: supervised, unsupervised, and reinforcement learning
Model Development: feature engineering, model training, evaluation, hyperparameter tuning, and validation
ML Frameworks: classical ML libraries, TensorFlow, PyTorch, or similar frameworks
Deep Learning: CNNs, RNNs, Transformers
LLM Applications: Experience building production LLM-based applications
Prompt Engineering: Ability to design effective prompts and chain-of-thought strategies
RAG Systems: Experience building retrieval-augmented generation architectures
Vector Databases: Familiarity with embedding models and vector search
LLM Evaluation: Experience with evaluation metrics and techniques for LLM outputs
Python: Advanced proficiency in Python for ML applications

Job Responsibility

Design and implement end-to-end ML solutions from experimentation to production
Build scalable ML pipelines and infrastructure
Optimize model performance, efficiency, and reliability
Write clean, maintainable, production-quality code
Conduct rigorous experimentation and model evaluation
Troubleshoot and resolve complex technical challenges
Mentor junior and mid-level ML engineers
Conduct code reviews and provide constructive feedback
Share knowledge through documentation, presentations, and workshops
Collaborate with cross-functional teams (DevOps, Data Engineering, SAs)

What we offer

Long-term B2B collaboration
Fully remote setup
A budget for your medical insurance
Paid sick leave, vacation, public holidays
Continuous learning support, including unlimited AWS certification sponsorship

Fulltime

Principal, Software Engineer – GenAI Initiative

Walmart Global Tech is at the forefront of AI innovation, leveraging cutting-edg...

Location

United States , Sunnyvale

Salary:

143000.00 - 286000.00 USD / Year

Walmart

Expiration Date

Until further notice

Requirements

Overall 12+ years of experience in machine learning / software engineering, with 2+ years in Generative AI or LLMs
Strong experience with RAG frameworks, vector search technologies and knowledge grounding techniques
Expertise in Python, ML frameworks (PyTorch, TensorFlow), and libraries like Hugging Face Transformers
Proficiency in distributed computing, cloud platforms (GCP, Azure), and scalable architectures
Familiarity with disaster recovery principles and building resilient, fault-tolerant systems
Experience with multi-modal models (text, image, video) and advanced optimization techniques (e.g., quantization, distillation)
Experience with Generative AI models (e.g., GPT, Gemini) and their fine-tuning
Contributions to open-source projects or publications in Generative AI, RAG, or agentic frameworks
Strong understanding of system design, non-functional requirements, and design patterns
Option 1: Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 5 years' experience in software engineering or related area

Job Responsibility

Design, fine-tune, and deploy Generative AI models with a focus on RAG frameworks to enhance information retrieval and generation
Develop and optimize LLM-based agents for tasks like knowledge grounding, multi-step reasoning, and decision-making
Integrate external data sources (e.g., vector databases) with LLMs to build dynamic, context-aware systems
Architect scalable, distributed AI systems with a focus on performance, fault tolerance, and disaster recovery
Develop detailed design specifications, including modular, extensible, and functional components
Build MVPs to validate requirements and refine designs iteratively
Partner with product teams to integrate AI into customer-facing applications
Work cross-functionally to design solutions that address both functional and non-functional requirements
Drive technical direction for large-scale AI initiatives and mentor junior engineers
Establish best practices for building and maintaining AI-driven systems

What we offer

Performance-based bonus awards
Medical, vision and dental coverage
401(k), stock purchase and company-paid life insurance
PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting
Short-term and long-term disability
Company discounts
Military Leave Pay
Adoption and surrogacy expense reimbursement
Live Better U education benefit program
Annual or quarterly performance bonuses

Fulltime

Senior ML Engineer (GenAI, AWS)

Provectus helps companies adopt ML/AI to transform the ways they operate, compet...

Location

Colombia , Medellín

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

ML Fundamentals: supervised, unsupervised, and reinforcement learning
Model Development: feature engineering, model training, evaluation, hyperparameter tuning, and validation
ML Frameworks: classical ML libraries, TensorFlow, PyTorch, or similar frameworks
Deep Learning: CNNs, RNNs, Transformers
LLM Applications: Experience building production LLM-based applications
Prompt Engineering: Ability to design effective prompts and chain-of-thought strategies
RAG Systems: Experience building retrieval-augmented generation architectures
Vector Databases: Familiarity with embedding models and vector search
LLM Evaluation: Experience with evaluation metrics and techniques for LLM outputs
Python: Advanced proficiency in Python for ML applications

Job Responsibility

Design and implement end-to-end ML solutions from experimentation to production
Build scalable ML pipelines and infrastructure
Optimize model performance, efficiency, and reliability
Write clean, maintainable, production-quality code
Conduct rigorous experimentation and model evaluation
Troubleshoot and resolve complex technical challenges
Mentor junior and mid-level ML engineers
Conduct code reviews and provide constructive feedback
Share knowledge through documentation, presentations, and workshops
Collaborate with cross-functional teams (DevOps, Data Engineering, SAs)

What we offer

Long-term B2B collaboration
Fully remote setup
A budget for your medical insurance
Paid sick leave, vacation, public holidays
Continuous learning support, including unlimited AWS certification sponsorship

Fulltime

Middle AI/ML Engineer (GenAI, AWS)

Provectus is an AWS Premier Consulting Partner and AI consultancy featured in Fo...

Location

Colombia , Medellín; Bogotá; Bucaramanga; Cali; Barranquilla

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

Machine Learning
Deep learning hands-on experience: CNNs, RNNs, Transformers
Depth in at least one domain: NLP, Computer Vision, Recommendation, or Time Series
Experience building LLM apps with OpenAI, Anthropic, or Hugging Face APIs
Hands-on RAG design
Familiarity with vector databases (OpenSearch, Pinecone, Chroma, FAISS)
Understanding of prompt engineering and LLM evaluation
Proficient with AI coding tools (Claude Code, Cursor, Copilot, etc.)
Experience building tool-using, stateful agents with an orchestration framework
Understanding of Model Context Protocol (MCP)

Job Responsibility

Build and deliver ML pipelines from experimentation to production
Build and optimize models — supervised, unsupervised, and generative AI
Write clean, tested, modular Python code
Deploy and monitor models
track performance and prevent drift
Contribute to LLM applications: RAG systems and agent workflows
Use AI coding tools on every task
Use Claude Code or similar AI tools to deliver client projects
Build with agent frameworks (Bedrock AgentCore, Strands, CrewAI, or similar)
Integrate or build MCP servers

What we offer

Competitive salary based on competencies and market rates
Premium AI tooling: Claude Code, Cursor, and Provectus AI toolkit
Mentorship from Senior ML Engineers and Tech Leads
Clear growth path: Mid-Level → Senior ML Engineer → Tech Lead
Learning budget for courses, certifications, and conferences
Remote-first culture
work on projects across LATAM, North America, and Europe
Health benefits

Fulltime

Senior ML Engineer (GenAI)

Provectus helps companies adopt ML/AI to transform the ways they operate, compet...

Location

Colombia , Medellín; Bogotá; Cali; Barranquilla; Bucaramanga

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

ML Fundamentals: supervised, unsupervised, and reinforcement learning
Model Development: feature engineering, model training, evaluation, hyperparameter tuning, and validation
ML Frameworks: classical ML libraries, TensorFlow, PyTorch, or similar frameworks
Deep Learning: CNNs, RNNs, Transformers
LLM Applications: Experience building production LLM-based applications
Prompt Engineering: Ability to design effective prompts and chain-of-thought strategies
RAG Systems: Experience building retrieval-augmented generation architectures
Vector Databases: Familiarity with embedding models and vector search
LLM Evaluation: Experience with evaluation metrics and techniques for LLM outputs
Python: Advanced proficiency in Python for ML applications

Job Responsibility

Design and implement end-to-end ML solutions from experimentation to production
Build scalable ML pipelines and infrastructure
Optimize model performance, efficiency, and reliability
Write clean, maintainable, production-quality code
Conduct rigorous experimentation and model evaluation
Troubleshoot and resolve complex technical challenges
Mentor junior and mid-level ML engineers
Conduct code reviews and provide constructive feedback
Share knowledge through documentation, presentations, and workshops
Collaborate with cross-functional teams (DevOps, Data Engineering, SAs)

What we offer

Long-term B2B collaboration
Fully remote setup
A budget for your medical insurance
Paid sick leave, vacation, public holidays
Continuous learning support, including unlimited AWS certification sponsorship

Genai engineer data science-assistant vice president

Data Science, Assistant Vice President – Analytics & Information Management (AIM...

Location

India , Gurugram, Haryana

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

8+ years of experience in data analytics roles
Proficiency in analytics tools/technologies like SQL, SAS, Python, PySpark
Sound knowledge of machine learning/deep learning and statistical modeling techniques
Experience working with Machine Learning software frameworks and relevant Python libraries (e.g., scikit-learn, xgboost, Keras, NLTK, BERT, TensorFlow)
Hands-on experience in PySpark/Python/R programming along with strong experience in SQL
Experience working with large and multiple datasets, data warehouses
Strong background in Statistical Analysis
Experience working on Transformers/ LLMs (OpenAI, Claude, Gemini), Prompt engineering, RAG based architectures and relevant tools/frameworks (TensorFlow, PyTorch, Hugging Face Transformers, LangChain/Graph, LlamaIndex)
Understanding of transformers/language models
Familiarity with vector databases and fine-tuning techniques

Job Responsibility

Drive the development and implementation of analytical solutions to support key business objectives for Banking Operations & Analytics
Work with large, complex and unstructured data using a variety of tools (Python, PySpark, SQL, R) to build modeling solutions
Primary focus areas would be model building, model validations, model implementation and model governance related responsibilities for multiple portfolios
Responsible for documenting data requirements, data collection/processing/cleaning, and exploratory data analysis
Work with other members in the team and business partners to jointly build model driven solutions using traditional methods as well as Machine Learning driven modeling solutions
Work with model governance & fair lending teams to ensure compliance of models in accordance with Citi standards

Fulltime

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Junior GenAI Engineer

Job Description

Job Responsibility

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