Ampstek
Data Science / Lead Engineer - USC/GC (W2) Only
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Science / Lead Engineer focused on an Enterprise Generative AI Platform in Indianapolis, IN. The 12+ month contract requires expertise in LLM architecture, MLOps, AI security, and programming in Python and Go.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
May 1, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Indianapolis, IN
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🧠 - Skills detailed
#AWS (Amazon Web Services) #Grafana #Security #Argo #NLP (Natural Language Processing) #FastAPI #Compliance #Data Science #Deployment #Monitoring #Programming #S3 (Amazon Simple Storage Service) #Infrastructure as Code (IaC) #Langchain #Azure #Redis #Kubernetes #AI (Artificial Intelligence) #Prometheus #Observability #Storage #Cloud #DevOps #Python #IAM (Identity and Access Management)
Role description
Role: Data Science / Lead Engineer - Enterprise Generative AI Platform
Location: Indianapolis, IN(Onsite)
Job Type: 12+ Months Contract
Job Description:
Primary Skills
• LLM Platform Architecture & Engineering: Designing and operating enterprise-scale, GPU-accelerated, cloud-native LLM serving platforms on Kubernetes
• Distributed Systems & MLOps: Building low-latency, high-throughput, fault-tolerant inference systems; CI/CD, IaC, model lifecycle management
• Production LLM Deployment: Hosting, fine-tuning, and managing LLMs (PEFT, LoRA) with versioning, promotion, rollback, and multi-backend support
• AI Security & Compliance: Implementing runtime guardrails, prompt/output inspection, auditability, traceability, and IAM/RBAC integration
• RAG & Prompt Engineering: Developing retrieval-augmented generation pipelines, standardized prompt frameworks, and evaluation methodologies
• Workflow Orchestration: Managing long-running, event-driven AI pipelines using tools like Temporal.io and gRPC-based services
• Observability & Reliability: Monitoring latency, throughput, cost, security events, and drift; defining SLOs for LLM services
• Programming & Frameworks: Strong hands-on experience with Python, Go, FastAPI, LangChain/LangGraph, Redis
Nice to Have
• Domain Experience: Background in pharmaceutical, healthcare, or other highly regulated industries
• Advanced AI Security Exposure: Prompt-risk mitigation, hallucination detection, and regulated AI deployment
• Research-to-Production Experience: Translating NLP and generative AI research into enterprise platforms
• Cloud LLM Ecosystems: Experience with AWS Bedrock, Azure OpenAI, or Google Vertex AI
• Collaboration & Enablement: Strong cross-functional collaboration with data science, SRE, DevOps, and product teams
• Advanced Platform Tooling: Familiarity with Argo, Flux, Prometheus, Grafana, and object storage (S3-compatible)
Thanks and regards,
Deepa Maurya | Technical Recruiter - US Staffing
Email: deepa.m@ampstek.com | Desk: (609) 527-8971
Ampstek LLC – Global IT Partner | www.ampstek.com
Role: Data Science / Lead Engineer - Enterprise Generative AI Platform
Location: Indianapolis, IN(Onsite)
Job Type: 12+ Months Contract
Job Description:
Primary Skills
• LLM Platform Architecture & Engineering: Designing and operating enterprise-scale, GPU-accelerated, cloud-native LLM serving platforms on Kubernetes
• Distributed Systems & MLOps: Building low-latency, high-throughput, fault-tolerant inference systems; CI/CD, IaC, model lifecycle management
• Production LLM Deployment: Hosting, fine-tuning, and managing LLMs (PEFT, LoRA) with versioning, promotion, rollback, and multi-backend support
• AI Security & Compliance: Implementing runtime guardrails, prompt/output inspection, auditability, traceability, and IAM/RBAC integration
• RAG & Prompt Engineering: Developing retrieval-augmented generation pipelines, standardized prompt frameworks, and evaluation methodologies
• Workflow Orchestration: Managing long-running, event-driven AI pipelines using tools like Temporal.io and gRPC-based services
• Observability & Reliability: Monitoring latency, throughput, cost, security events, and drift; defining SLOs for LLM services
• Programming & Frameworks: Strong hands-on experience with Python, Go, FastAPI, LangChain/LangGraph, Redis
Nice to Have
• Domain Experience: Background in pharmaceutical, healthcare, or other highly regulated industries
• Advanced AI Security Exposure: Prompt-risk mitigation, hallucination detection, and regulated AI deployment
• Research-to-Production Experience: Translating NLP and generative AI research into enterprise platforms
• Cloud LLM Ecosystems: Experience with AWS Bedrock, Azure OpenAI, or Google Vertex AI
• Collaboration & Enablement: Strong cross-functional collaboration with data science, SRE, DevOps, and product teams
• Advanced Platform Tooling: Familiarity with Argo, Flux, Prometheus, Grafana, and object storage (S3-compatible)
Thanks and regards,
Deepa Maurya | Technical Recruiter - US Staffing
Email: deepa.m@ampstek.com | Desk: (609) 527-8971
Ampstek LLC – Global IT Partner | www.ampstek.com
