Enterprise Solutions Inc. ยท 16 hours ago
Senior AI Engineer
Dallas, TX
Contract
Onsite
Senior Level
$55/hr - $60/hrEnterprise Solutions Inc. is seeking a Senior AI Engineer who is a seasoned practitioner with deep hands-on development experience in building, scaling, and deploying LLM-powered and agentic AI systems. The role involves designing intelligent, production-grade AI platforms and optimizing agentic AI systems while collaborating with various stakeholders to translate requirements into AI-driven solutions.
Information Technology & Services
Hiring Manager
Mayank Chawla
Responsibilities
Design, develop, and deploy LLM-driven applications using Python and modern AI/ML frameworks
Build and optimize agentic AI systems, including multi-agent orchestration frameworks, tool-calling, memory management, and workflow automation
Implement and fine-tune LLMs using OpenAI APIs and other open-source or commercial foundation models
Develop prompt engineering strategies for accuracy, reliability, and scalability across multiple use cases
Design and manage Vector Databases (e.g., Pinecone, Weaviate, FAISS, Milvus) for semantic search, RAG pipelines, and contextual retrieval
Build and deploy NLP pipelines for text classification, summarization, entity extraction, and conversational AI
Develop ML graph visualizations to represent model flows, agent interactions, knowledge graphs, and decision paths
Collaborate with product managers, data engineers, and business stakeholders to translate requirements into AI-driven solutions
Ensure model performance, scalability, security, and cost optimization in production environments
Mentor junior engineers and contribute to AI best practices, architecture standards, and reusable frameworks
Qualification
Required
Deep hands-on development experience in building, scaling, and deploying LLM-powered and agentic AI systems
Strong expertise in Python
Expertise in Large Language Models (LLMs)
Experience with OpenAI-based solutions
Knowledge of Vector Databases
Experience in Prompt Engineering
Expertise in NLP
Familiarity with agent orchestration frameworks
Ability to design intelligent, production-grade AI platforms
Experience in designing, developing, and deploying LLM-driven applications using Python and modern AI/ML frameworks
Ability to build and optimize agentic AI systems, including multi-agent orchestration frameworks, tool-calling, memory management, and workflow automation
Experience in implementing and fine-tuning LLMs using OpenAI APIs and other open-source or commercial foundation models
Ability to develop prompt engineering strategies for accuracy, reliability, and scalability across multiple use cases
Experience in designing and managing Vector Databases (e.g., Pinecone, Weaviate, FAISS, Milvus) for semantic search, RAG pipelines, and contextual retrieval
Experience in building and deploying NLP pipelines for text classification, summarization, entity extraction, and conversational AI
Ability to develop ML graph visualizations to represent model flows, agent interactions, knowledge graphs, and decision paths
Experience collaborating with product managers, data engineers, and business stakeholders to translate requirements into AI-driven solutions
Ability to ensure model performance, scalability, security, and cost optimization in production environments
Experience mentoring junior engineers and contributing to AI best practices, architecture standards, and reusable frameworks
Company
Enterprise Solutions Inc.
Enterprise Solutions, Inc. is a technology-intensive services company.
Founded in 2000
501-1000 employees
H1B Sponsorship
Enterprise Solutions Inc. has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2024 (4)
2023 (1)
2022 (2)
2021 (3)
2020 (9)
Funding
Current Stage
Late StageCompany data provided by crunchbase