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Symplore Inc

AI Developer

Career Insights for Software Developer / Engineer

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What they do

A Software Developer or Engineer designs or improves computer software. Oversees the entire software development process. Analyzes customer or user needs, designs programs, writes code or instructs computer programmers, tests design, and documents programs. May assist with upgrades or maintenance. May specialize in the design of computer applications or computer systems.

$114,484 / year median in Texas

+16% projected growth

Explore Career

Job Description

Hello, The client is looking for a AI Developer , and the consultant must be relocate over US .
Job Title:
AI Developer Position:
W2
Position Location:
Open to relocate
Visa:
H4EAD, L2EAD, GC
EAD, TN, And USC.
Note :
Need 10+years of experience
Key Responsibilities Application Integration :
Implement AI-driven features, integrate Large Language Model (LLM) APIs, and write production-ready code to embed intelligence into existing systems.
Model Development :
Design, train, and fine-tune machine learning models, natural language processing (NLP) systems, and neural networks.
Architecture Implementation :
Build Retrieval-Augmented Generation (RAG) pipelines, configure vector databases, and establish semantic search workflows.
Data Pipeline Management :
Clean, structure, and preprocess large scale datasets to optimize them for model consumption.
Testing & Optimization :
Conduct rigorous testing on AI behavior, monitor parameters (like token usage and temperature), and optimize code for real-time scalability.
Cross-Functional Collaboration :
Advise leadership on AI capabilities, document system architectures, and translate technical concepts for non-technical stakeholders.
Required Skills & Qualifications Education :
Bachelor's or Master's degree in Computer Science, Data Science, or a related technical discipline.
Core Languages :
Mastery of Python (essential for the AI ecosystem) along with proficiency in Java, C++, or
R. AI/ML
Frameworks :
Practical experience with PyTorch, TensorFlow, Keras, or Scikit-Learn.
GenAI Tools :
Experience using orchestration frameworks like LangChain or LangGraph, and implementing prompt engineering techniques.
Data Management :
Deep understanding of data structures, relational databases, and vector databases (e.g., Pinecone, Chroma, Milvus).
Cloud & Infrastructure :
Familiarity with deploying AI applications on cloud platforms like AWS, Google Cloud, or Microsoft Azure.
Preferred Qualifications Experience :
10+ years in professional software engineering, with 8-9 years dedicated to AI feature implementation or GenAI systems.
MLOps :
Knowledge of continuous integration and continuous deployment (CI/CD) pipelines for machine learning models.
Job Type:
Contract Pay:
$80,346.51 - $90,000.00 per year
Benefits:
401(k)
Work Location:
In person