Job Title: ML Engineer
Location: NYC NY (Onsite)
Job Type: Contract
Tax Terms: C2C / W2
Key Responsibilities
- Design and maintain LLM integrations using OpenAI APIs within AWS environments.
- Build Python-based LLM services deployed on AWS compute platforms (ECS EKS Lambda or EC2).
- Implement RAG workflows and semantic search using AWS data and storage services.
- Develop LangChain or agentic workflows supporting reasoning and tool use.
- Integrate LLM pipelines with ETL/ELT workflows and enterprise data systems.
- Deploy and integrate MCP servers and emerging orchestration tools.
- Apply AWS security best practices using IAM KMS and Secrets Manager.
- Implement monitoring and observability using CloudWatch and related tools.
- Migrate custom GPT solutions into production-grade AWS-hosted assistants.
Qualifications Required
- Bachelors degree or equivalent experience.
- 4 7 years in software ML or applied AI engineering.
- Strong Python proficiency.
- Experience with RAG and semantic search.
- Hands-on OpenAI LLM integration experience.
- Experience deploying systems in AWS (S3 Lambda ECS/EKS IAM).
Qualifications Desired
- Experience with SageMaker or Amazon Bedrock.
- AWS data services: Glue Athena OpenSearch Aurora.
- ETL/ELT pipeline development.
- LLM orchestration and reasoning workflows.
- Benchmarking and LLM evaluation.
- SnapLogic integration experience.
- Craxel Black Forest Timeseries DB (trainable).
- Infrastructure as Code (CDK CloudFormation Terraform).
Job Title: ML Engineer Location: NYC NY (Onsite) Job Type: Contract Tax Terms: C2C / W2 Key Responsibilities Design and maintain LLM integrations using OpenAI APIs within AWS environments. Build Python-based LLM services deployed on AWS compute platforms (ECS EKS Lambda or EC2). Implement RAG wo...
Job Title: ML Engineer
Location: NYC NY (Onsite)
Job Type: Contract
Tax Terms: C2C / W2
Key Responsibilities
- Design and maintain LLM integrations using OpenAI APIs within AWS environments.
- Build Python-based LLM services deployed on AWS compute platforms (ECS EKS Lambda or EC2).
- Implement RAG workflows and semantic search using AWS data and storage services.
- Develop LangChain or agentic workflows supporting reasoning and tool use.
- Integrate LLM pipelines with ETL/ELT workflows and enterprise data systems.
- Deploy and integrate MCP servers and emerging orchestration tools.
- Apply AWS security best practices using IAM KMS and Secrets Manager.
- Implement monitoring and observability using CloudWatch and related tools.
- Migrate custom GPT solutions into production-grade AWS-hosted assistants.
Qualifications Required
- Bachelors degree or equivalent experience.
- 4 7 years in software ML or applied AI engineering.
- Strong Python proficiency.
- Experience with RAG and semantic search.
- Hands-on OpenAI LLM integration experience.
- Experience deploying systems in AWS (S3 Lambda ECS/EKS IAM).
Qualifications Desired
- Experience with SageMaker or Amazon Bedrock.
- AWS data services: Glue Athena OpenSearch Aurora.
- ETL/ELT pipeline development.
- LLM orchestration and reasoning workflows.
- Benchmarking and LLM evaluation.
- SnapLogic integration experience.
- Craxel Black Forest Timeseries DB (trainable).
- Infrastructure as Code (CDK CloudFormation Terraform).
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