- Build AI solutions by designing and maintaining production‑ready systems that support media products.
- Collaborate with cross‑functional teams to translate business needs into scalable technical solutions.
- Deploy and scale systems in production environments with a focus on reliability, performance, and global impact.
- Improve models continuously using real‑world performance data and feedback loops.
- Explore current approaches by researching AI and ML advancements and prototyping solutions that enhance our products.
- Promote responsible AI by applying fairness, transparency, privacy, and compliance standards in every system you create.
What You Bring
- Master’s degree in computer science, engineering, or a related field. A PhD is welcome but not required.
- Strong Python skills with experience using LLM orchestration libraries such as LangChain, LlamaIndex, or Semantic Kernel.
- Experience working with enterprise LLMs and their APIs, including understanding performance challenges and mitigation strategies.
- Production experience building and integrating APIs, including RESTful API conventions and tools such as FastAPI.
- Experience combining multiple techniques for improving LLM output quality, such as prompt engineering, multi‑agent orchestration, structured output validation, hybrid RAG, in‑context learning, and related methods.
- Proficiency in document processing workflows, including text extraction, chunking, and embedding.
- Experience monitoring and improving AI systems. Familiarity with tracing tools such as Arize, OpenTelemetry, or LangSmith is a plus.
- Strong foundation in data science, including statistical methods and working with structured and unstructured data.
📌 Lead Technical Architect (India)
🏢 Merkle
📍 India
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