Gen AI Engineer

Overview

On Site
Depends on Experience
Full Time

Skills

API
Apache Hadoop
Apache Hive
Apache Kafka
Apache Spark
Budget
Business Strategy
Business Systems
Collaboration
Data Management
Database
Estimating
Evaluation
Generative Artificial Intelligence (AI)
LangChain
LangSmith
Leadership
Machine Learning (ML)
Management
MongoDB
Neo4j
Problem Solving
Redis
Risk Management
Storage
Systems Architecture
Technical Direction
Transformer

Job Details

Role: Gen AI Engineer

Experience: 10 years

Visa: Any Except GC

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
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