Senior AI Software Engineer VAMS Technologies Dallas-Fort Worth, TX Job Details Contract $70 - $75 an hour 1 day ago Qualifications AI models Containerization systems Software engineering Azure Continuous Delivery (CD) implementation WebSocket Generative models System design Application deployment AI platforms (beyond public GPTs) Java Databases Microservices System design for system development AWS Machine intelligence Model deployment Developing large-scale AI models Cloud Native Design GraphQL APIs GraphQL DevOps automation gRPC Python Design (software development lifecycle)

Generative AI Full Job Description Position Title:

Senior AI Software Engineer Role Summary We are seeking a Senior AI Software Engineer to drive the design, architecture, and production delivery of modern AI-driven platforms. In this role, you will apply senior-level software engineering discipline to bridge the gap between cutting-edge AI research and scalable enterprise systems. The ideal candidate combines deep software engineering experience—with a proven track record of shipping production software—with hands-on expertise in generative AI, Retrieval-Augmented Generation (RAG), and multi-agent architectures. W-2

Only:

Direct W-2 applicants only (No C2C / No Subcontracting / No 1099).

No Sponsorship:

Candidates must be eligible to work in the U.S. without sponsorship now or in the future.

Key Responsibilities Production AI Architecture:

Architect, build, and ship scalable, production-grade software applications that integrate machine learning models, Large Language Models (LLMs), and complex AI workflows.

Multi-Agent Systems & Agentic Workflows:

Design and implement multi-agent orchestration systems (e.g., CrewAI, AutoGen, LangGraph) capable of autonomous task execution, tool use, memory management, and multi-step reasoning.

Full Lifecycle Product Delivery:

Own end-to-end features from concept through deployment, monitoring, and maintenance, ensuring high availability, sub-second latencies, and security compliance.

RAG & Knowledge Retrieval:

Build and optimize production RAG pipelines utilizing hybrid search, reranking, vector databases, and custom data connectors to maximize retrieval accuracy and eliminate hallucinations.

Production MLOps & Evaluation:

Implement robust evaluation, testing, and observability frameworks to monitor model performance, latency, token costs, drift, and agent decision-making in live environments.

Technical Leadership & Collaboration:

Partner with product managers, data engineers, and architects to translate complex business problems into modular, production-ready AI systems.

Qualifications & Requirements Core Qualifications Software Engineering Experience:

6+ years of professional software development experience (Python, TypeScript, Go, Java, or C++) with a proven track record of architecting and shipping complex software products to production. Generative

AI & LLM

Engineering:

1-2+ years of hands-on experience building and deploying generative AI capabilities into production applications.

Multi-Agent Frameworks:

Hands-on experience developing multi-agent systems, agentic workflows, or tool-calling frameworks (e.g., LangGraph, AutoGen, CrewAI, Semantic Kernel).

RAG & Vector Architecture:

Experience with vector databases (e.g., Pinecone, Weaviate, Qdrant, Milvus, pgvector), chunking strategies, embeddings, and hybrid search methods.

Cloud & DevOps:

Deep understanding of cloud-native architecture (AWS, Azure, GCP), microservices, containerization (Docker, Kubernetes), CI/CD pipelines, and asynchronous task queues.

API & System Design:

Expertise in REST, gRPC, GraphQL, web sockets, and designing clean interfaces for AI model consumption.

Preferred / Nice

-to-Have Skills Experience with fine-tuning, PEFT/LoRA, or deploying open-source models (e.g., Llama, Mistral) on custom infrastructure. Familiarity with AI observability, tracing, and evaluation tools (e.g., LangSmith, Phoenix, Arize, Weights & Biases). Knowledge of guardrails, prompt security, data privacy, and compliance frameworks for enterprise AI.

Pay:

$70.00 - $75.00 per hour Expected hours: 40.0 per week Application Question(s):

Work Authorization:

Are you legally authorized to work in the United States without requiring present or future employer visa sponsorship? (Yes/No)

Employment Terms:

Are you available and eligible to work on a direct W-2 contract basis without Corp-to-Corp (C2C) or 1099 arrangements? (Yes/No)

Senior Software & Shipping Experience:

Do you have 6+ years of core software engineering experience, including a proven track record of shipping scalable applications to production? (Yes/No)

Multi-Agent & Agentic Workflows:

Have you designed or implemented multi-agent systems, tool-calling agents, or autonomous workflows using frameworks like LangGraph, AutoGen, CrewAI, or similar? (Yes/No - Please briefly describe) Production

AI & RAG

Deployment:

Have you built and deployed Retrieval-Augmented Generation (RAG) pipelines or LLM-backed services into a live production environment? (Yes/No - Please mention vector databases or tools used)

Work Location:

In person