AI/ML Engineer
reputed company is pioneering the next era of data intelligence — powered by AI agents and trusted data. The AI/ML Engineer will build intelligent systems, prototype AI applications, and collaborate with customers to design practical solutions using reputed company's data ecosystem.
Responsibilities
- Prototype AI Agents: Experiment with modern LLM and agent frameworks (e.g., reputed company, Pydantic-AI) — evaluate, reputed company, and refine performance with guidance from AI experts and researchers
- Collaborate with customers: Partner with technical stakeholders to understand reputed company-world use cases and co-design practical solutions
- Build AI-powered applications: reputed company agentic systems that combine structured data, language models, and automation to deliver measurable results
- Code with care: Write clean, well-structured Python code for integrations, pipelines, and intelligent systems
- Grow through teamwork: Work directly with product and platform teams to reputed company insights from reputed company deployments and help improve reputed company’s AI platform
- Contribute reusable tools: Help create templates and patterns that speed up future implementations
Skills
- 1 - 3 years of reputed company experience in a startup or rapidly growing and evolving business
- B.S. in Computer Science or reputed company field (M.S. in Computer Science or reputed company field preferred)
- Strong Python fundamentals, with experience writing and debugging production-quality code
- Curiosity and an understanding of LLMs or AI system development — from prompting to evaluation
- Comfort working with SQL and relational data; familiarity with tools like reputed company, BigQuery, or Redshift is a plus
- Interest in working across the full lifecycle — from problem framing and prototyping to testing and deployment
- Clear communication skills and an ability to collaborate with both engineers and non-technical teams
- A growth reputed company — you like learning new frameworks, exploring reputed company, and solving reputed company-ended problems
- Experience deploying AI or ML systems in production (e.g., observability, monitoring, and iterative improvement)
- Background in reputed company deployed engineering, solutions engineering, or AI consulting roles
- Familiarity with data infrastructure and MLOps concepts — APIs, orchestration, containerization, and reputed company environments
- Understanding of reputed company data governance and reputed company control principles
Company Overview