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Assistant Llm Developer Jobs in New York (NOW HIRING)

AWS Solutions Architect

Berkeley Heights, NJ · On-site

$67.50 - $88.75/hr

Demonstrated ability using GenAI assistants or LLM developer tools (e.g., GitHub Copilot, or Claude) to accelerate code generation, rewrite legacy scripts, automate documentation, and debug ...

AWS Solutions Architect

Berkeley Heights, NJ · On-site

$67.50 - $88.75/hr

Demonstrated ability using GenAI assistants or LLM developer tools (e.g., GitHub Copilot, or Claude) to accelerate code generation, rewrite legacy scripts, automate documentation, and debug ...

Experience with networking, vpc, vpce, transit gateway, IP, DNS, network load balancers and CDN * 1+ years of experience using GenAI assistants or LLM developer tools incorporating AI into daily ...

Experience with networking, vpc, vpce, transit gateway, IP, DNS, network load balancers and CDN * 1+ years of experience using GenAI assistants or LLM developer tools incorporating AI into daily ...

Technical Product Manager, LLM/ML Domain

Manhattan, NY · On-site

$183K - $212K/yr

... engineering to level up Agoda's platforms to be more compatible with AI coding assistants and ... with ML Ops and/or LLM Ops concepts (model lifecycle, evaluation, monitoring, versioning ...

Position: Agent Engineer Type: Contract Compensation: $100-$500/hour Location: Remote Role ... Analyze adoption patterns of internal assistants within organizations. * Focus on internal ...

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Assistant Llm Developer information

What is the difference between Assistant Llm Developer vs Machine Learning Engineer?

AspectAssistant Llm DeveloperMachine Learning Engineer
Required CredentialsBachelor's in CS, AI, or related; familiarity with NLP and LLMsBachelor's or higher in CS, Data Science, or related; strong ML background
Work EnvironmentTech companies, AI startups, research labsTech firms, AI companies, research institutions
Employer & Industry UsageFocus on developing and fine-tuning language modelsDesigning, building, deploying ML models across domains

Assistant Llm Developers typically focus on developing and fine-tuning language models, often working closely with NLP teams. Machine Learning Engineers have a broader scope, designing and deploying various ML models across industries. Both roles require strong technical skills, but Assistant Llm Developers specialize more in language-specific AI applications.

What are the most commonly searched types of Llm Developer jobs in New York?

The most popular types of Llm Developer jobs in New York are:

What cities in New York are hiring for Assistant Llm Developer jobs?

Cities in New York with the most Assistant Llm Developer job openings:

AI Foundation Model Engineer (LLM / Agentic AI / Full-Stack AI Engineering)

Jersey City, NJ • On-site

Other

Posted 27 days ago


Job description

AI Foundation Model Engineer

LLM / Agentic AI / Full-Stack AI Engineering
Level: Senior Individual Contributor
Experience: 9+ years

Role Overview

We are seeking a Senior AI Foundation Model Engineer to build and deploy secure, scalable, enterprise-grade AI solutions using LLMs, RAG and agentic workflows. The role involves developing production AI applications and reusable services for an AWS-hosted, cloud-agnostic AI platform.

Key Responsibilities

· Build LLM applications, RAG pipelines, knowledge assistants, document intelligence solutions and workflow agents.

· Develop embeddings, semantic search, reranking, grounding and citation capabilities.

· Deploy and manage AI services using APIs, Docker, Kubernetes, CI/CD and cloud-native infrastructure.

· Collaborate on Terraform/IaC, environment promotion, release controls and rollback procedures.

· Optimize models and inference for accuracy, latency, throughput, token usage, reliability and cost.

· Implement LLMOps/MLOps covering evaluation, monitoring, observability, feedback loops and continuous improvement.

· Ensure security, privacy, Responsible AI, governance and audit readiness.

· Maintain production documentation, runbooks and release records.

Required Skills

· Strong hands-on experience with LLMs, transformers, GenAI, RAG, embeddings and vector databases.

· Advanced Python skills and experience with PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, Semantic Kernel or similar frameworks.

· Production deployment experience using APIs, containers, Kubernetes, CI/CD and monitoring tools.

· Practical AWS AI/cloud experience, preferably with Bedrock, SageMaker, OpenSearch, Lambda and EKS/ECS.

· Working knowledge of Terraform/IaC, MLOps/LLMOps, model evaluation, inference optimization and secure data handling.

Preferred Experience

· Banking, risk, compliance, financial crime or enterprise technology experience.

· Experience with Kendra, Azure OpenAI, Vertex AI, Databricks, vLLM, Triton, MLflow, Kubeflow or model gateways.

· Knowledge of LoRA, PEFT, instruction tuning, quantization, model governance and private/open-source LLM deployments.

Alternate Titles: LLM Engineer, GenAI Engineer, AI Platform Engineer, RAG Engineer, Applied ML Engineer or NLP Engineer.