Gen AI Engineer

Role: Gen AI Engineer

Experience: 8 years

Visa: OPT/CPT

Contract type: W2, Please don't ask C2C

Responsibilities:

• Leads the design, development and implementation of complex data management, storage applications, often using new technologies.
• Exercises judgment within broadly defined practices and policies in selecting methods, techniques, and evaluation criterion for obtaining results.
• Work leadership may be provided by assigning work and resolving problems.
• Ability to translate business strategy into achievable tactics.
• A senior member of the technical team responsible for assisting senior business leaders and management.
• May provide strategic technical direction and system architecture for individual initiatives.
• Utilizes in-depth knowledge of technological alternatives and business system requirements to recommend innovations that enhance and/or provide a competitive advantage to the organization.
• Leads or has responsibility for estimation of effort for software application for one or more programmers.
• Coordinates collaboration with external programming teams to deliver software on time and within budget.
• Provides feedback and technical guidance to project managers on issues of critical importance to achieving business objectives.

Requirements:

• Typically over 10 years of related IT experience.
• 2 years of professional experience as a data scientist executing end-to-end Gen AI projects using following technologies
• LLM Models (Llama, Mixtral, Mistral)
• Various inferencing mechanisms transformer/pipeline, vllm
• Agentic framework: langgraph
• Evaluation frameworks: RAGAS, langsmith, phoenix-arize
• Embedding (all-MiniLM-L6-v2, all-mpnet-base-v2)
• LLM development framework : Lang chain, Llama Index
• Rest API, Fast API, We sockets
• Enterprise Radis Database, Qanat, Cockroach
• Must have experience of working with Model Risk Management/Model Governance, which includes
• Delivering on a Gen AI project following the model governance guidelines
• Writing a model document
• Building model monitoring capabilities
• Strong programming experience with Python
• Angular experience a huge plus
• Experience with Slurm, Hadoop/Hive, Neo4J, Apache Spark, Kafka and MongoDB is a plus
• Knowledge of machine-learning techniques, classifiers and statistical methods