Role overview
Direct message the job poster from Software Technology Inc.
Naveen Aidike
Naveen Aidike
Lead Talent Acquisition - US IT
Job title: Lead AI Engineer
Location: Dallas, TX or Remote
Duration: Long term.
Mandatory Skills: Python integrate with API development skills, Agentic AI, Data Storage & Modeling, AWS (no azure).
Job Description
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.
Soft Skills:
End-to-End Ownership: Able to independently architect, implement, and deliver complete AI-driven applications across the full vertical stack.
Product & Technical Communication: Communicates clearly, proactively, and respectfully; provides technical recommendations with clear options and tradeoffs.
Cross-Functional Collaboration: Works effectively with product, engineering, and business stakeholders; listens deeply before shaping solutions.
Consultative Mindset: Brings clarity in ambiguous situations, offers guidance, and helps drive decision-making with well-reasoned technical insight.
Adaptability: Quickly ramps up in unfamiliar domains and remains effective amid evolving priorities or strategic pivots.
Knowledge Sharing: Elevates internal engineering teams by openly sharing expertise in AI systems, data modeling, cloud patterns, and platform best practices.
Quality & Velocity: Delivers tangible outcomes quickly while maintaining a high standard of engineering quality, reliability, and maintainability.
Direct & Constructive Dialogue: Comfortable giving and receiving candid feedback and iterating to improve solutions, processes, and team cohesion.
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Seniority level
Mid-Senior level
Employment type
Contract
Job function
Information Technology
Industries
Information Technology & Services