USA_Developer

Pay Rate Range: $47.85 - 49.26/hr.
GBaMS ReqID: 10772179


Agentic AI, Python, LangChain, Vector databases, RAG pipelines, API integration



Job Description:
Design| develop| and implement machine learning and AI models for business applications.
Build and optimize deep learning| NLP| or computer vision models depending on project requirements.
Deploy models into production using APIs| microservices| or cloud platforms.
Work with large datasets to clean| preprocess| and engineer features.
Monitor and maintain model performance| retraining when necessary.
Collaborate with cross-functional teams including product managers and data engineers.
Research and apply the latest developments in AI and machine learning.
Ensure scalability| security| and reliability of AI solutions.



Required Skills:
Technical Skills-Strong programming skills in Python (preferred) or Java C Experience with machine learning frameworks such as Tensor Flow Torch Scikit-learn
Knowledge of deep learning| NLP| computer vision| or generative AI



Key Responsibilities:
• AI Development: Design and implement Generative AI applications using frameworks like LangChain, LlamaIndex, and LangGraph.
• Agentic Solutions: Build autonomous and semi-autonomous AI agents using AutoGen or CrewAI to solve complex business logic.
• Backend & APIs: Develop and maintain scalable REST APIs using FastAPI or Flask to serve AI models and services.
• Data Architecture: Manage and optimize data retrieval using Elasticsearch, NoSQL databases, and Graph databases like Neo4j.
• LLMOps & MLOps: Establish robust pipelines for model monitoring, evaluation, and deployment to ensure high performance and reliability.
• Full-Stack Integration: Collaborate with front-end teams to integrate AI features into React/Node.js environments.



Required Technical Skills:
• Languages: Expert-level Python (strong hands-on coding) and advanced SQL.
• Frameworks: LangChain, LlamaIndex, LangGraph, AutoGen, or CrewAI.
• Databases: ElasticSearch, NoSQL, and Neo4j.
• AI/ML: Solid foundation in Machine Learning, Deep Learning, and LLM fine-tuning/prompt engineering.
• Backend: Proven experience with FastAPI or Flask for production APIs.
• Web: Familiarity with React and Node.js for full-stack AI integration.



Qualifications:
• Minimum 2+ years of experience as an AI Engineer or in a similar specialized Machine Learning role.
• Proven track record of deploying LLM-based applications to production.
• Strong understanding of vector embeddings, semantic search, and RAG architectures.
• Experience with Cloud environments (AWS/GCP/Azure) and CI/CD for ML (MLOps).


Skills: Category Name Required Importance Experience SkillCategoryTest1_MN Digital : Artificial Intelligence(AI)~Design for GenAI Yes 1>7 years SkillCategoryTest1_MN Digital : Python Yes 1>7 years