Senior AI​/ML Engineer

Invictus AI is a leading artificial intelligence applications company dedicated to making personalized AI agents accessible to everyone. We develop advanced agentic systems to tackle complex tasks, address challenges, and seize opportunities, exemplified by Verena, our orchestration agent. Our commitment to innovation is matched by our focus on privacy, safety, and responsible AI practices. As a company rooted in community values, we aim to ensure our stakeholders play a significant role in the value we create.

Join us in shaping the future of AI-driven solutions and collaboration.

Invictus AI is an AI First, AI Native company
, and this role sits at the core of our strategy. As a Senior AI/ML Engineer, you will not only to build state-of-the-art AI systems, but also to use AI extensively in your own work — accelerating experimentation, improving code quality, and enabling faster, better decision-making across the organization.

This role is ideal for engineers who treat AI as both a product capability and a personal productivity multiplier
, and who can lead by example in AI-native engineering practices.

This is a full-time hybrid position for a Senior AI/ML Engineer, with remote flexibility. The Senior AI/ML Engineer will design, develop, and optimize machine learning models and algorithms to tackle complex challenges. Key responsibilities include implementing neural networks, enhancing pattern recognition models, and developing cutting-edge AI systems. Collaboration with cross-functional teams is essential to improve scalability, ensure model accuracy, and drive innovation.

• 5+ years of experience building and deploying ML systems in production
• 2+ years working with large language models and generative AI
• Hands-on experience with LLM providers such as OpenAI, Anthropic, AWS Bedrock, or Azure OpenAI
• Experience building LLM-powered applications and understanding their trade-offs (quality, cost, latency)
• Familiarity with prompt engineering, evaluation, hallucination mitigation, and model iteration
• Comfort deciding when LLMs are the right tool versus classical or deterministic approaches

• Experience building or working with Retrieval-Augmented Generation (RAG) systems
• Understanding of embeddings, vector search, and retrieval optimization
• Experience with vector databases (e.g., Pinecone, Weaviate, Chroma, pgvector, Qdrant)
• Background in document understanding, semantic search, or information extraction

• Strong Python skills and experience writing production-quality code
• Backend development experience with FastAPI, Django, Flask, or similar frameworks
• Experience deploying, monitoring, and improving ML systems in production
• Familiarity with model versioning, evaluation, and performance monitoring
• Exposure to cost optimization and reliability practices for AI systems

• Regular use of AI tools to support development and problem-solving
• Ability to review AI-generated outputs critically and apply sound engineering judgment
• Interest in building repeatable workflows or internal tools that improve team productivity
• Ability to design scalable, AI-first systems in partnership with product and engineering teams
• Clear communicator who can explain technical trade-offs to non-ML stakeholders
• Interest in mentoring teammates and contributing to shared engineering standards

• Bachelor’s degree with 7+ years of relevant experience, or equivalent practical background
• Proven experience delivering AI/ML systems that created meaningful business impact