Onsite - Houston, TX ( in person interview at NJ, Atlanta, Texas Client location)
Long Term Contract
Key Responsibilities
- Lead the day-to-day development of AI solutions, including writing production-grade code and building scalable systems.
- Candidate should have good hands-on -Design & Development - Full SDLC in Python, .Net and Strong in Gen AI area.
- Interact directly with customers to understand requirements, propose solutions, and ensure successful delivery.
- Design and implement AI-driven features such as chatbots, recommendation engines, Agentic AI, and automation tools.
- Build secure and scalable AI pipelines that integrate with enterprise systems and cloud platforms.
- Evaluate and apply AI frameworks, libraries, and platforms aligned with business and technical needs.
- Select and implement machine learning algorithms, NLP models, and other Gen AI technologies.
- Ensure compliance with data privacy, security, and ethical standards in all AI/ML implementations.
- Stay current with advancements in Gen AI tools and recommend their adoption within engineering teams.
- Provide technical mentorship to developers and engineers working on AI initiatives.
- Maintain clear documentation and architecture diagrams for deployed AI solutions.
Qualifications
- Proven experience as an AI Engineer, Machine Learning Engineer, or similar role, with a portfolio of delivered AI/Gen AI solutions.
- Proficiency in AI platforms and tools such as Azure OpenAI, Hugging Face, and LangChain ecosystem (LangGraph, LangSmith, LangFuse).
- Strong programming skills in Python, C#, and Node.js, with experience in API development and system integration.
- Expertise in NLP, machine learning, deep learning, or computer vision.
- Experience with Azure and AWS cloud platforms and their AI/ML services.
- Familiarity with enterprise application development and full-stack technologies.
- Hands-on experience with chatbot development, automation frameworks, and AI-based decision systems.
- Knowledge of AI ethics, data governance, and security best practices.
- Excellent problem-solving and communication skills.
- Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or a related field.
Preferred Qualifications
- Certifications in AI/ML from Azure or AWS.
- Experience with low-code/no-code AI integration tools.
- Understanding of DevOps practices for AI/ML model deployment.
- Experience in customer-facing roles, with the ability to translate business needs into technical solutions.
Recruiter Submission Template - AI Lead (Houston, TX - Onsite)
Full Name:
Degree Major with University and Completion Year:
Total Experience in AI/ML Industry (in years):
Total Experience in AI Solution Architecture or Technical Leadership (in years):
Do you have hands-on experience developing and deploying AI/GenAI solutions in production? (Yes/No - Please elaborate):
Do you have experience with Python and C# for AI solution development? (Yes/No - Please describe):
Do you have experience with .NET or Node.js for backend/API integrations in AI systems? (Yes/No - Please elaborate):
Do you have hands-on experience with Generative AI tools like Azure OpenAI, Hugging Face, LangChain, or LangGraph? (Yes/No - Please provide tools and projects):
Do you have experience developing and integrating chatbots, recommendation engines, or agentic AI systems? (Yes/No - Please provide examples):
Have you worked on full lifecycle (SDLC) of AI/ML products from design to deployment? (Yes/No - Please describe):
Do you have experience building AI pipelines on cloud platforms (Azure, AWS, etc.)? (Yes/No - Please elaborate):
Are you familiar with AI/ML model governance, data privacy, and ethical AI practices? (Yes/No - Please describe):
Do you have experience mentoring junior developers or leading AI project teams? (Yes/No - Please share examples):
Have you worked in customer-facing roles for gathering requirements and solution delivery? (Yes/No - Please describe):
Do you have experience writing technical documentation and architecture diagrams for AI systems? (Yes/No - Please elaborate):
Do you apply business acumen or partner engagement strategies in engineering roles? (Yes/No - Please explain):
Have you applied DevOps or MLOps practices for AI/ML model deployment? (Yes/No - Please describe):
Do you hold any certifications in AI/ML from Azure, AWS, or related platforms? (Yes/No - Please list):
Motivation / Reason for Relocation (if applicable):
Motivation / Reason for Interest in this Position:
Contact Number:
Email ID:
LinkedIn Profile:
Full Address (Street, City, State, ZIP Code):
Notice Period (in weeks):
Ideal Start Date for the Candidate:
Current Work Authorization Status (U.S. Citizen, Green Card, etc.):
Expected Hourly Rates:
Is it W2 / C2C, If C2C, May I know your corporation name?
Are you willing to work onsite in Houston, TX and attend in-person interviews in NJ, Atlanta, or Texas as needed? (Yes/No):
