If you are looking for new opportunity, send your resume to pujan.motivaras@collabera.com  

Job Description:  

Client: Banking  

Position: AI/Machine Learning Engineer 

Duration:  12 months    

Location: Charlotte, NC

Payrange: $60-65/hr 

DayToDay Responsibilities:  

• Design and build agentic AI frameworks that support autonomous task execution (LangChain, LangGraph, AutoGen, etc.) 

• Integrate GenAI models (GPT-4, Claude, Gemini, LLaMA) with internal tools and systems like GitHub Copilot. 

• Build and deploy Python-based Machine Learning models and services that support AI/LLM features in developer workflows. 

• Collaborate with peer developers and tech leads (no customer-facing duties). 

• Research and implement new AI/Machine Learning techniques to enhance solution effectiveness. 

• Stay current on developments in GenAI, RAG, vector stores, orchestration frameworks, etc. 

Required Skills: 

• Agentic AI Experience – Practical experience with LangChain, AutoGen, LangGraph or similar frameworks; able to describe implementations and role. 

• GenAI Integration Experience – Hands-on work with GPT-4, Claude, Gemini, or LLaMA including prompt engineering, API integration, chaining. 

• Strong Python Skills – Ability to build, test, and deploy machine learning or AI pipelines using Python libraries (e.g., PyTorch, TensorFlow, scikit-learn). 

• Software Engineering Mindset – Solid fundamentals around modular design, Git, APIs, unit testing, and working within a team of developers. 

• Cloud & CI/CD Familiarity – Comfort with MLOps practices, containerization (Docker), and basic deployment pipelines is a strong plus. 

• Excellent Communication – Able to document and explain technical work clearly to teammates and stakeholders. 

Pujan Motivaras 

Pujan.motivaras@collabera.com