GenAI Engineer with Python
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Job Location:
Irving, TX - USA
Monthly Salary:
Not Disclosed
Posted on:
5 days ago
Vacancies:
1 Vacancy
Job Summary
Client Citi Group
Location: Irving TX - 3 days onsite/week.
Contract duration on W2 - 6 Months Right to Hire (FTE)
Position Overview: GenAI Engineer with Python
ONLY FOR USC/GC
IT IS A HIRING EVENT - Candidate must be available to go onsite on 6/3/2026 - 6/4/2026 feel free to give me a call to understand the process.
Minimum 9 years of relevant experience
Candidates should have stable project history (no short-term projects; at least 2 years per project preferred)
Must be local to the location as there will be only 1 round of Interview onsite (one and done)
LinkedIn must be verified from work email and must not be created recently ( look for profiles created before 2020).
Banking experience is MUST HAVE
There will be a Karat test before the interview.
Job Description
Hiring Event - 6/3 - 6/4
Karat - Software Engineer - Python - Senior
RTH - GC/USC - NO EXCEPTION ***/hr
Gen AI Developer is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to lead applications systems analysis and programming activities.
Responsibilities:
Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements
Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes system processes and industry standards
Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint
Utilize advanced knowledge of system flow and develop standards for coding testing debugging and implementation
Develop comprehensive knowledge of how areas of business such as architecture and infrastructure integrate to accomplish business goals
Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
Serve as advisor or coach to mid-level developers and analysts allocating work as necessary
Appropriately assess risk when business decisions are made demonstrating particular consideration for the firms reputation and safeguarding Banking its clients and assets by driving compliance with applicable laws rules and regulations adhering to Policy applying sound ethical judgment regarding personal behavior conduct and business practices and escalating managing and reporting control issues with transparency.
Recommended Qualifications:
Experience: 8 Years in Python and AI (with 2 year focused on GenAI/Agentic runtime)
Key Responsibilities:
AI Agent Development: Build and orchestrate AI agents using frameworks like LangChain AutoGen or CrewAI implementing self-healing workflows (e.g. Act-Verify-Refine loops).
LLM Integration & Backend: Develop robust backend systems using Python and TypeScript integrating LLMs into microservices architectures.
Data Management for LLMs: Utilize vector databases (Pinecone Milvus Weaviate) for agent memory and architect Retrieval-Augmented Generation (RAG) pipelines to enhance LLM accuracy and contextual understanding.
Prompt Engineering: Design and optimize prompt strategies including automated evaluation frameworks for high-quality LLM output.
Context Engineering: Manage LLM information ecosystems including system prompts RAG implementation and conversation history.
MLOps & Deployment: Oversee the end-to-end lifecycle of generative models focusing on inference speed cost-efficiency and scalability on cloud platforms (AWS GCP Azure).
AI Ethics & Compliance: Ensure adherence to security standards IP regulations and safety guidelines for all generative models.
Tool Orchestration: Define and manage the API/tool access for AI agents to optimize accuracy.
Required Skills & Qualifications:
Technical Proficiency: Strong command of Python PyTorch TensorFlow and Hugging Face libraries.
GenAI Experience: Hands-on experience with LangChain LlamaIndex vector databases and fine-tuning techniques (LoRA QLoRA).
API & Backend: Proven ability to integrate AI models into web applications via APIs (OpenAI Anthropic).
Software Engineering: Solid understanding of software engineering best practices including Git CI/CD and Docker.
Preferred Qualifications:
Experience with multimodal AI models (image video audio generation).
Published AI/LLM research or contributions to open-source AI projects.
Background in AI governance or safety policy development.
Education:
Bachelors degree/University degree or equivalent experience
Location: Irving TX - 3 days onsite/week.
Contract duration on W2 - 6 Months Right to Hire (FTE)
Position Overview: GenAI Engineer with Python
ONLY FOR USC/GC
IT IS A HIRING EVENT - Candidate must be available to go onsite on 6/3/2026 - 6/4/2026 feel free to give me a call to understand the process.
Minimum 9 years of relevant experience
Candidates should have stable project history (no short-term projects; at least 2 years per project preferred)
Must be local to the location as there will be only 1 round of Interview onsite (one and done)
LinkedIn must be verified from work email and must not be created recently ( look for profiles created before 2020).
Banking experience is MUST HAVE
There will be a Karat test before the interview.
Job Description
Hiring Event - 6/3 - 6/4
Karat - Software Engineer - Python - Senior
RTH - GC/USC - NO EXCEPTION ***/hr
Gen AI Developer is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to lead applications systems analysis and programming activities.
Responsibilities:
Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements
Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes system processes and industry standards
Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint
Utilize advanced knowledge of system flow and develop standards for coding testing debugging and implementation
Develop comprehensive knowledge of how areas of business such as architecture and infrastructure integrate to accomplish business goals
Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
Serve as advisor or coach to mid-level developers and analysts allocating work as necessary
Appropriately assess risk when business decisions are made demonstrating particular consideration for the firms reputation and safeguarding Banking its clients and assets by driving compliance with applicable laws rules and regulations adhering to Policy applying sound ethical judgment regarding personal behavior conduct and business practices and escalating managing and reporting control issues with transparency.
Recommended Qualifications:
Experience: 8 Years in Python and AI (with 2 year focused on GenAI/Agentic runtime)
Key Responsibilities:
AI Agent Development: Build and orchestrate AI agents using frameworks like LangChain AutoGen or CrewAI implementing self-healing workflows (e.g. Act-Verify-Refine loops).
LLM Integration & Backend: Develop robust backend systems using Python and TypeScript integrating LLMs into microservices architectures.
Data Management for LLMs: Utilize vector databases (Pinecone Milvus Weaviate) for agent memory and architect Retrieval-Augmented Generation (RAG) pipelines to enhance LLM accuracy and contextual understanding.
Prompt Engineering: Design and optimize prompt strategies including automated evaluation frameworks for high-quality LLM output.
Context Engineering: Manage LLM information ecosystems including system prompts RAG implementation and conversation history.
MLOps & Deployment: Oversee the end-to-end lifecycle of generative models focusing on inference speed cost-efficiency and scalability on cloud platforms (AWS GCP Azure).
AI Ethics & Compliance: Ensure adherence to security standards IP regulations and safety guidelines for all generative models.
Tool Orchestration: Define and manage the API/tool access for AI agents to optimize accuracy.
Required Skills & Qualifications:
Technical Proficiency: Strong command of Python PyTorch TensorFlow and Hugging Face libraries.
GenAI Experience: Hands-on experience with LangChain LlamaIndex vector databases and fine-tuning techniques (LoRA QLoRA).
API & Backend: Proven ability to integrate AI models into web applications via APIs (OpenAI Anthropic).
Software Engineering: Solid understanding of software engineering best practices including Git CI/CD and Docker.
Preferred Qualifications:
Experience with multimodal AI models (image video audio generation).
Published AI/LLM research or contributions to open-source AI projects.
Background in AI governance or safety policy development.
Education:
Bachelors degree/University degree or equivalent experience
Regards
Venkat
Strategic Resources International Inc.
Ph : 1
Required Skills:
GITTYPESCRIPTAZUREPYTORCHCI/CDTENSORFLOWDOCKERAWSPYTHON
