Note: The job is a remote job and is open to candidates in USA. People In AI is a specialist talent partner connecting AI, machine learning, data, and software engineering professionals with companies building artificial intelligence products. They are seeking a Senior AI Engineer to design, build, and scale production-grade generative AI and LLM systems, including AI agents, retrieval-augmented generation applications, backend services, and intelligent automation workflows. The role involves taking AI capabilities from experimentation through deployment and production scaling while contributing to architecture, engineering standards, and team mentorship.
Responsibilities
- Design, build, and deploy production-grade AI and machine learning systems
- Develop applications and workflows powered by LLMs and generative AI
- Build AI agents, retrieval-augmented generation systems, and intelligent automation workflows
- Take new AI capabilities from prototype through evaluation, deployment, and production scaling
- Build reliable backend services and APIs supporting AI-powered applications
- Develop and improve systems for model orchestration, inference, evaluation, monitoring, and observability
- Work with structured and unstructured data to build retrieval and contextual AI systems
- Optimize AI applications across model quality, latency, reliability, and cost
- Evaluate new models, frameworks, and emerging AI technologies and determine where they can deliver meaningful product value
- Partner closely with product, software engineering, and data teams to define and deliver new AI capabilities
- Contribute to technical architecture, engineering standards, and best practices as the AI team continues to grow
- Mentor other engineers and help raise the technical bar across the organization
Skills
- Strong professional software engineering experience with a track record of building and shipping production systems
- Hands-on experience building AI, machine learning, or generative AI applications
- Strong Python engineering skills
- Practical experience working with large language models and modern generative AI tooling
- Experience building applications using techniques such as RAG, embeddings, vector search, prompt engineering, tool use, or agentic workflows
- Experience designing scalable backend services, APIs, and distributed systems
- Familiarity with model evaluation, observability, and monitoring in production AI environments
- Experience working with cloud-based infrastructure and modern deployment tooling
- Strong understanding of software engineering fundamentals, including testing, system design, performance, and reliability
- Comfortable operating in an environment where problems may be ambiguous and solutions require experimentation
- Strong communication skills and the ability to collaborate closely with both technical and product-focused stakeholders
Benefits
- Bonus
- Equity
- Fully remote — United States
- Significant ownership and the opportunity to shape architecture and engineering standards
- Close collaboration with a highly technical team
Company Overview