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hackajob is partnering with Capco to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.
What You’ll Do
Architect and develop autonomous AI systems integrating multi-modal LLMs (text, image, audio, video)
Design agentic workflows enabling AI agents to interact with data sources and APIs using prompt engineering and RAG
Fine-tune, optimize, and deploy large language and multi-modal models with a focus on performance and latency
Build scalable MLOps pipelines and full-stack applications to support robust, production-grade AI deployments
Guide multidisciplinary teams and clients through strategic decisions in AI engineering and GenAI adoption
What We’re Looking For
Bachelor’s degree or higher in Computer Science, AI, or related STEM fields
Hands-on experience deploying LLMs and multi-modal models at scale
Strong engineering background in Python with proven backend and API development skills
Solid understanding of scalable MLOps, observability, and cloud-native AI deployment
Excellent communication, problem-solving, and project management skills in agile environments
Bonus Points For
Experience with agentic frameworks (e.g., LangChain, LlamaIndex)
Experience in deep learning frameworks and front-end development
Familiarity with Langfuse, Langsmith, or other LLM observability tools
Understanding of Model Context Protocol and bias/hallucination mitigation techniques
Previous success in integrating GenAI solutions into enterprise-scale systems
hackajob is partnering with Capco to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.