About the Role

We are looking for an AI Engineer to join our client’s team. If you are passionate about Generative AI and Large Language Models (LLMs) and enjoy bringing cutting-edge AI capabilities into real-world production environments, this role is for you. You will be at the forefront of integrating and deploying GenAI solutions that deliver measurable business impact, scalability, and safety.

Our client’s mission is to power progress together by providing more and cleaner energy solutions. It’s a global group of energy and petrochemical companies employing over 103,000 people in more than 70 countries. They serve more than one million commercial and industrial customers and reach around 33 million customers daily through their retail network.

Maxima Consulting, founded in 1993 in Boston, is an IT and Engineering consulting company supporting organizations in their digital transformation journeys across North America, Europe, Asia, and Australia. We provide dependable, high-quality solutions in IT infrastructure, software development, quality assurance, maintenance & support, and cybersecurity, along with a broad range of additional services.

Responsibilities

• Design, build, and deploy LLM-powered applications leveraging frameworks such as LangChain and LlamaIndex.
• Integrate Generative AI APIs (OpenAI, Anthropic, Cohere, Mistral) into enterprise systems, ensuring scalability and reliability.
• Collaborate with data scientists, DevOps, and product teams to deliver production-ready GenAI solutions.
• Develop retrieval-augmented generation (RAG) systems combining LLMs with enterprise data using vector databases (FAISS, Weaviate, Pinecone, Qdrant).
• Lead model deployment using tools like Flask, FastAPI, MLflow, and Triton Inference Server.
• Ensure responsible AI practices through bias detection, content filtering, explainability, and hallucination mitigation.
• Build and automate evaluation pipelines to track key metrics such as relevance, response quality, and drift detection in production.
• Engage in rapid prototyping to test and deliver AI-driven MVPs supporting digital transformation initiatives.
• Collaborate on AI system architecture design, focusing on performance, robustness, and maintainability.
• Drive continuous improvement in GenAI safety layers, guardrails, and prompt optimization.

Requirements

• Strong programming proficiency in Python.
• Hands-on experience with data processing tools such as NumPy, Pandas, and SQL.
• Proven experience with model deployment and serving frameworks (Flask, FastAPI, MLflow, Triton).
• Proficiency with LLM frameworks (LangChain, LlamaIndex) and vector databases (FAISS, Weaviate, Pinecone, or Qdrant).
• Experience integrating APIs from OpenAI, Anthropic, Cohere, or Mistral.
• Good understanding of MLOps principles: versioning, monitoring, and logging.
• Familiarity with LLM safety practices, including hallucination mitigation and prompt validation.
• Strong grasp of evaluation and monitoring techniques for GenAI models (e.g., A/B testing, MLflow tracking).
• Excellent collaboration and communication skills; able to work cross-functionally.
• Experience with Azure Cloud is a plus.
• Knowledge of Oil & Gas, Shipping & Trading, or ETRM business domains is a strong advantage.

Nice to Have

• Experience delivering GenAI use cases such as chatbots, copilots, document summarization, or content generation.
• Familiarity with bias detection and model explainability frameworks.
• Understanding of enterprise data integration and security best practices.

Compensation and Benefits

• Competitive salary based on experience
• Training and learning opportunities
• Equipment budget
• Private healthcare
• Remote work options
• Birthday gifts
• MultiSport card
• Wellbee mental health package

Recruitment Process Flow

We value your time and effort. Our recruitment process is designed to be clear, efficient, and transparent.

1. You apply via Maxima Consulting’s website or LinkedIn.
2. We review your profile to ensure the role aligns with your experience.
3. You meet our recruiter for an introductory online interview.
4. You complete a technical assignment to showcase your skills.
5. You meet your future team members for a technical interview.
6. You receive a job offer — welcome aboard!