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Vetted Generative AI Engineers in the NYC Metro
Pre-screened and vetted in the NYC Metro.
Praveen Nutulapati
Mid-level Generative AI Engineer specializing in LLM fine-tuning, RAG, and agentic systems
“Built and deployed a production multi-agent RAG system at JPMorgan Chase to automate regulated credit analysis and compliance clause discovery across large internal policy/document libraries. Implemented LangGraph-based supervisor orchestration with structured state management (Azure OpenAI) to support long-running, resumable workflows, plus hybrid retrieval + re-ranking and guardrails for reliability. Strong at evaluation/observability (trace logging, LLM-judge, HITL) and at communicating results to non-technical stakeholders via Power BI embeds and Streamlit prototypes.”
Jaswanth Vakkala
Mid-level Generative AI Engineer specializing in enterprise RAG and multimodal NLP
“Built and deployed a production LLM/RAG chatbot at Wells Fargo for securely querying regulated financial and compliance documents, emphasizing low hallucination rates, explainability, and strict governance. Experienced with LangChain multi-agent orchestration plus Airflow/Prefect pipelines for ingestion, embeddings, evaluation, and retraining, and partnered closely with compliance/operations to drive adoption through demos and feedback-driven retrieval rules.”
Mid-level AI/ML Engineer specializing in Generative AI agents and enterprise analytics
Senior AI Architect specializing in Generative AI and LLM systems
Mid-level Generative AI Engineer specializing in RAG, multi-agent LLM systems, and LLMOps
Mid-level AI/ML & Generative AI Engineer specializing in LLMs and MLOps
Mid-level Data Scientist/ML Engineer specializing in Generative AI, NLP, and RAG systems
Lavan Gajula
Mid-level GenAI Engineer specializing in LLM agents and production AI workflows
“Designed and deployed end-to-end LLM-powered AI agent systems to automate knowledge-intensive workflows across marketing/GTM, recruiting, and support. Brings production reliability rigor (evaluation pipelines, monitoring, testing, A/B experiments) plus orchestration expertise (Airflow, Prefect, custom Python) and a track record of translating non-technical stakeholder goals into working AI solutions (e.g., personalized customer engagement agent at Lara Design).”
Mid-level AI/ML Engineer specializing in LLMs, RAG, and AI agents
Mid-level Generative AI Engineer specializing in LLMs and RAG for enterprise and FinTech
Mid-level AI/ML Engineer specializing in Generative AI, RAG agents, and multimodal systems
Mid-level Generative AI/ML Engineer specializing in LLMs, RAG, and MLOps
Mid-level GenAI Engineer specializing in AI agents and FinTech platforms