AI/ML Engineer

Akkodis is seeking a LLM Engineer x3 for a contract position with a client in Toronto, ON (Hybrid). Ideally looking for experience with 5 recent years focused on LLMs 3-4 years of experience with FastAPI, , AWS, Azure, or GCP, Python and Javascript preference would be someone with the required skills and experience, particularly in large organizations.

Title: LLM Engineer x3

Location: Remote

Notes: LLM experience in Mandatory , Demand forecasting preferably in airlines/ Revenue Management and/or Deep Learning, and Fast API , RAG-based Chatbots

Experience

• 5+ years in software engineering
• At least 5 recent years focused on LLMs.
• 4 years of experience with FastAPI

Production Deployment

• End-to-end experience deploying LLM-based solutions; NOT just prototypes or managed services.

Hands-on experience with LLM solution patterns

• Latest LLMs – GPT, Claude, Gemini, Llama
• Prompt Engineering
• Agent Building
• Agentic Workflows

Experience in creating RAG-based Chatbots

• Advanced parsing
• Multi-modal
• Context augmentation
• Agentic RAG

(Optional) Practical experience with LORA and fine-tuning open-source models.

Stable Career: No recent gaps or short stints (2+ years at each company)

JD & Responsibilities

• Bachelor’s degree in computer science, Information Technology, or a related field (or equivalent work experience).
• At least 5 years of experience in software development, with relevant work experience in LLM app development.
• Strong coding skills with proficiency in Python and Javascript
• Experience with API frameworks both stateless and stateful such as Fast API, Django
• Well versed in implementation of web sockets, gRPC, access management using JWT (Azure AD, IDM preferred)
• Proficient in cloud platforms, specifically AWS, Azure, or GCP
• Knowledge and hands-on experience with front-end development (React JS, Next JS, Tailwind CSS) preferred
• Strong experience in LLM patterns like RAG, Vector DB, Hybrid Search, Agent development, Agentic workflows, prompt engineering, etc.
• Strong experience with LLM APIs (Open AI, Anthropic, AWS Bedrock), SDKs (Langchain, DSPy)
• Hands-on experience with DevOps tools including Docker, Kubernetes, and AWS services (Redshift, RDS, S3).
• Experience in production deployments involving thousands of users
• Strong understanding of scalable application design principles and experience with security best practices and compliance with privacy regulations.
• Good knowledge of software engineering practices like version control (GIT), DevOps (Azure DevOps preferred) and Agile or Scrum.
• Strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.
• Experience of SDLC and best practices while development
• Experience with Agile methodology for continuous product development and delivery

Communication should be EXCELLENT