Software Technology Inc. · 9 hours ago
Lead AI Engineer
Dallas, TX
Contract
Hybrid
Lead/StaffSoftware Technology Inc. is seeking a Lead AI Engineer with strong expertise in Python and AI technologies. The role involves architecting, implementing, and delivering AI-driven applications while collaborating with cross-functional teams to ensure high-quality outcomes.
ConsultingInformation Technology
Hiring Manager
Vamshi Thangadpalli
Responsibilities
Python Engineering: Strong experience building backend services, AI workloads, orchestration layers, and agentic systems using Python
.NET/C# Systems Integration: Skilled in developing enterprise-grade APIs and service layers using .NET/C#, including secure integration with internal platforms
Front-End Development: Proficient with Angular and TypeScript for building modern, scalable, and user-friendly front-end applications
AI & LLM Engineering: Hands-on experience with LLMs, prompt engineering, vector search, embeddings, evaluation techniques, and multi-step workflows
Agentic Architectures: Familiar with enterprise agent frameworks and tools such as LangChain, LangGraph, and LangSmith for designing, observing, and optimizing AI workflows
Data Storage & Modeling: Practical experience with Snowflake (analytics workloads), SQL (schema design & querying), MongoDB (document storage), and Neo4j (graph reasoning)
Event Streaming: Knowledge of Kafka for event-driven communication and real-time system processing
Cloud Deployment: Capable of designing and deploying full-stack AI solutions across AWS (primary), with additional exposure to Azure and GCP
API Lifecycle Management: Experience using Azure APIM for API management, governance, and secure platform integration
Infrastructure & DevOps Awareness: Comfortable with hosting, scaling, CI/CD best practices, authentication/authorization, and secure deployment patterns in enterprise environments
Qualification
Required
Python integrate with API development skills
Agentic ai
Data Storage & Modeling
AWS (no azure)
Python
Angular
TypeScript
LLMs
Azure AI Foundry
Azure OpenAI
GenAI
Machine Learning
SQL
Langchain
Neo4j
Strong experience building backend services, AI workloads, orchestration layers, and agentic systems using Python
Skilled in developing enterprise-grade APIs and service layers using .NET/C#, including secure integration with internal platforms
Proficient with Angular and TypeScript for building modern, scalable, and user-friendly front-end applications
Hands-on experience with LLMs, prompt engineering, vector search, embeddings, evaluation techniques, and multi-step workflows
Familiar with enterprise agent frameworks and tools such as LangChain, LangGraph, and LangSmith for designing, observing, and optimizing AI workflows
Practical experience with Snowflake (analytics workloads), SQL (schema design & querying), MongoDB (document storage), and Neo4j (graph reasoning)
Knowledge of Kafka for event-driven communication and real-time system processing
Capable of designing and deploying full-stack AI solutions across AWS (primary), with additional exposure to Azure and GCP
Experience using Azure APIM for API management, governance, and secure platform integration
Comfortable with hosting, scaling, CI/CD best practices, authentication/authorization, and secure deployment patterns in enterprise environments
Able to independently architect, implement, and deliver complete AI-driven applications across the full vertical stack
Communicates clearly, proactively, and respectfully; provides technical recommendations with clear options and tradeoffs
Works effectively with product, engineering, and business stakeholders; listens deeply before shaping solutions
Brings clarity in ambiguous situations, offers guidance, and helps drive decision-making with well-reasoned technical insight
Quickly ramps up in unfamiliar domains and remains effective amid evolving priorities or strategic pivots
Elevates internal engineering teams by openly sharing expertise in AI systems, data modeling, cloud patterns, and platform best practices
Delivers tangible outcomes quickly while maintaining a high standard of engineering quality, reliability, and maintainability
Comfortable giving and receiving candid feedback and iterating to improve solutions, processes, and team cohesion
Company
Software Technology Inc.
Software Technology, Inc.
Founded in 2004
201-500 employees
H1B Sponsorship
Software Technology 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 (7)
2024 (8)
2023 (8)
2022 (11)
2021 (11)
2020 (15)
Funding
Current Stage
Growth StageCompany data provided by crunchbase