
Chief Artificial Intelligence Architect
12 hours ago
We are seeking a skilled professional to design and develop cutting-edge artificial intelligence and machine learning features across various products. As an AI/ML Engineer, you will be responsible for designing rapid prototypes for large language model-powered features and evaluating their feasibility.
Responsibilities- Design & Development
- Develop innovative AI/ML solutions to drive business growth.
- Collaborate with cross-functional teams to integrate AI/ML features into products.
- Own the evaluation framework to measure AI/ML model performance.
- Ship ML/LLM services with clean interfaces, telemetry, tests, and CI/CD.
- Implement guardrails and quality gates for data safety and integrity.
- Build datasets, retrieval indexes, vector stores, and monitoring dashboards.
- Own experiment tracking and model/artifact versioning; optimize cost and performance.
- Communicate complex ideas effectively with Product, Backend, Frontend, and Customer teams.
- Proficiency in Python programming language and experience with PyTorch or TensorFlow.
- Working knowledge of large language models: tokenization, embeddings, RAG, fine-tuning, prompt design, evaluation.
- API engineering skills: build/consume REST, JSON, pagination, auth, rate limits.
- Experience with vector databases (pgvector, Pinecone, Weaviate) and SQL basics.
- Knowledge of packaging and delivery tools: Docker, Git, testing, simple CI.
- Excellent written and spoken communication skills; strong product sense; ownership mindset.
- LangChain/LlamaIndex; agents (CrewAI/AutoGen); MCP (Model Context Protocol).
- Cloud experience: AWS/Azure/GCP (S3, Lambda, basic IAM).
- Document AI (OCR, layout/structure), OpenAPI tooling, Postman/Newman, Spectral, Dredd/Schemathesis.
- Frontend familiarity (Angular/TypeScript) or Java/Spring Boot integration experience.
- Experiment tracking (Weights & Biases/MLflow); Kubernetes; basic Kafka/stream processing.
- 0–6 months: lead POCs end-to-end; own an evaluation framework; ship 1–2 features into production.
- 6–12 months: tech lead for a product work-stream.
- 12–18 months: mentor juniors; co-own roadmap; drive customer pilots—path to AI/ML Lead.
Bachelor's or Master's degree in Computer Science or a related field with 1-4 years of relevant experience.
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