> Markdown version of [/jobs/ext/4628385-ai-ml-engineer](https://www.wearedevelopers.com/jobs/ext/4628385-ai-ml-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI/ML Engineer - **Company:** FARSIGHT LLC - **Location:** New York, NY, United States - **Experience:** Experienced - **Salary:** $200,000.0 - $300,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Automated Storage and Retrieval Systems, Python (Programming Language), Machine Learning, Open Source Technology, Performance Tuning, Reliability Engineering, Tensorflow, Pinecone, Pytorch, Large Language Models, Agentic-AI, Pgvector, Kubernetes, HuggingFace, Weaviate, FAISS, ChromaDB - **Published:** November 7, 2026 - **Apply:** https://www.juju.com/job/28_25304_a87346e2a7c835c6bc0c9619461bf069 ## About the Role * 2+ years of experience deploying machine learning models in production. Demonstrated experience integrating closed-source LLM APIs and fine-tuning open-source modelsProven expertise with embedding models and semantic retrieval systems such as Pinecone, Weaviate, FAISS, Chroma, PGVector, etc. Experience developing multimodal retrieval solutions that integrate diverse data types, including textual, numerical, and structured data. Strong Python proficiency, including practical knowledge of frameworks like Hugging Face, PyTorch, TensorFlow, or LangChain. Passion for staying current with cutting-edge AI research, tools, and industry trends. Ability to thrive in ambiguous environments, independently scoping and executing projects end-to-end. Excellent communication skills, fostering effective collaboration across technical and business teams., * Prior experience building or optimizing AI agentic systems leveraging function-calling, orchestration frameworks, and modular architectures. Deep familiarity with financial data retrieval challenges and techniquesDemonstrated experience in performance tuning, scalability improvements, and reliability engineering for AI-driven retrieval systems. Entrepreneurial mindset or previous experience working in a high-growth startup environment. Knowledge of or interest in free-form generative AI capabilities and their application within complex business scenarios.