Senior AI/ML Engineer

Modus Create is a global consulting firm that helps organizations modernize their platforms, products, and processes. They are seeking a Senior AI Engineer to design and implement generative AI solutions while collaborating with clients and cross-functional teams.

Responsibilities:

• Designing and building AI solutions : scoping, architecting, and implementing applications powered by generative AI, from proof of concept to production deployment
• Working directly with clients : understanding their problems, proposing solutions, and translating business needs into technical plans. You're the trusted technical advisor in the room
• Hands-on engineering : writing production-quality code, integrating LLMs and ML models into real systems, and deploying them to the cloud
• Collaborating across disciplines : partnering with cloud architects, DevOps specialists, and front-end developers to deliver end-to-end solutions
• Supporting business development — contributing to proposals, scoping engagements, and supporting sales and marketing efforts when needed

Requirements:

• 4+ years of software engineering experience
• Proven track record delivering Generative AI solutions
• Hands-on experience deploying large and small language models (LLMs/SLMs) in the cloud and on-premises
• Comfortable with techniques like prompt engineering, retrieval-augmented generation (RAG), fine-tuning, and agentic architectures
• Understanding how to evaluate model outputs and build reliable systems around inherently probabilistic components
• Proficiency in Python
• Solid experience with at least one major cloud provider (AWS preferred)
• Experience with managed AI services such as Amazon Bedrock, SageMaker, Rekognition, etc. or equivalents on other platforms
• Experience with LLM orchestration frameworks (e.g., LangChain, LangGraph, Google ADK), agent tooling and protocols (e.g., MCP, function calling), and evaluation/observability libraries
• Version control and DevOps: Git, GitHub/GitLab
• Programming and scripting languages: Python, Bash
• Data storage and querying: SQL and NoSQL databases
• Familiarity with classical ML (prediction, classification) and data science fundamentals
• A background in cloud services for machine learning, text extraction, speech recognition, or computer vision
• Experience with other programming languages like Java, Scala, Rust or R
• Experience in supporting sales and marketing efforts
• Familiarity with frameworks like TensorFlow or PyTorch
• Experience with AI-powered coding assistants (e.g., GitHub Copilot, Cursor, Claude Code) and agentic coding workflows
• Infrastructure as code (e.g., Terraform)
• DevOps and CI/CD experience