Own customer-facing AI features end to end, from technical design and implementation through deployment, monitoring, and ongoing improvement.
Compensation
Base salary is $180,000 to $275,000 annually. Visa sponsorship is available.
Responsibilities
Own customer-facing AI features end to end, from technical design and implementation through deployment, monitoring, and ongoing improvement.
Build Python services and pipelines for retrieval, context construction, model and provider selection, structured extraction, orchestration, and monitoring.
Develop evaluations, representative datasets, benchmarks, regression tests, and launch gates to measure and improve AI quality.
Make AI systems resilient to latency, cost, provider errors, and unreliable intermediate outputs using retries, guardrails, verification, and fallbacks.
Improve retrieval and knowledge workflows, including embeddings, hybrid search, chunking, ranking, and reranking.
Design, develop, and rigorously test end-to-end Generative AI and agentic AI applications
Build and orchestrate multi-agent systems using frameworks like CrewAI, LangGraph, OpenAI Agents SDK, or Azure AI Agent Framework
Implement retrieval-augmented generation pipelines involving embedding creation, chunking, and vector indexing using FAISS, Pinecone, Chroma, or Milvus
Apply advanced prompting strategies such as Few-Shot Learning, Chain-of-Thought (CoT), ReAct, and CART to improve reliability and interpretability of model responses
Establish automated and manual testing pipelines using TruLens, LangSmith, PromptLayer, or DeepEval to evaluate model quality, accuracy, safety, and factual grounding
GEN AI- SM- AIAEY · Bengaluru, India