Sr. GenAI Developer

LTM

$120K — $160K *
Finance & Insurance
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
  • 10+ years of enterprise application development experience, particularly in regulated sectors.
  • Proven track record in delivering AI/ML solutions within the financial services industry.
  • Deep expertise in Python, LangGraph, LangChain, and cloud-native AI stacks (Azure, AWS, GCP).
  • Strong foundational knowledge in microservices, API design, and enterprise security protocols.

Responsibilities

  • Lead engineering efforts for production-ready systems using expert-level Python or PySpark proficiency.
  • Apply advanced data structures, algorithms, and design patterns for real-world financial solutions.
  • Architect high-scale solutions with a focus on performance and cost optimization.
  • Manage the transition from MVPs to live solutions while ensuring AI integration at an enterprise level.
  • Design and deploy RAG pipelines and Transformer-based architectures for generative AI applications.
  • Build autonomous agents to automate complex multi-step business logic.
  • Drive User Acceptance Testing (UAT) to meet specific business outcomes and accuracy benchmarks.

Benefits

  • Opportunities for mentoring and leading a high-performing technical team.
  • Access to cutting-edge research and development in AI through partnerships with industry leaders.
  • Collaboration with C-suite stakeholders to influence high-level business strategies.
  • Participation in delivering innovative AI solutions to global clients.
  • Intellectual growth through continuous learning and implementation of advanced technologies.
Full Job Description
Role description

Job Role:- Sr. GenAI Developer

Job Location:- Irving, Texas

Job Responsibilities

1 Engineering ProductionGrade Development 40

Handson Coding Lead the development of productionready systems with expertlevel proficiency in Python or PySpark

Solution Engineering Apply advanced data structures algorithms and software design patterns to solve realworld financial services challenges

Scalability Performance Architect highscale solutions with a big picture approach ensuring system latency and infrastructure costs are optimized to drive tangible business value

Lifecycle Management Own the transition from MVP to live solutions managing change control and enterpriselevel AI integration

2 Advanced AI Implementation RD 40

Generative AI RAG Design and deploy sophisticated RAG pipelines and Transformerbased architecture Orchestrate LLMasaService eg GPT4 GeminiVertex AI alongside local SLMs eg Llama 3 Mixtral

Agentic Workflows Build autonomous agents using frameworks such as LangGraph preferred CrewAI or AutoGen to automate complex multistep business logic

MLOps Governance Take full ownership of the model lifecycle including finetuning LLMSLM monitoring model drift groundtruth validation and ensuring compliance with Model Risk Management MRM standards

UAT Validation Drive User Acceptance Testing UAT focused on specific business outcomes and accuracy benchmarks

3 Leadership Solution Orchestration 20

Stakeholder Management Navigate complex client ecosystems acting as the primary technical liaison for both Csuite stakeholders and engineering teams

Strategic Communication Translate highlevel business requirements into sustainable highvalue generative AI solutions

CoE Liaison Partner with the BFS AI CoE to bring cuttingedge RD and incubated solutions and active participation for multiple client AI solutions demo and delivery assurance to global clients

Team Mentorship Lead and inspire a highperforming technical team fostering a positive solution mind and an initiativetaking culture

Technical Qualifications

Education bachelors or masters degree in computer science Engineering or a related quantitative field

Experience 10 years Enterprise Application development Proven track record of delivering AIML solutions in a production environment specifically within the BFSI or highly regulated sectors

Tooling Deep expertise in Python LangGraphLangChain Vector Databases and cloudnative AI stacks Azure AI AWS Bedrock or GCP Vertex AI

Architecture Strong foundation in microservices API design and enterprise security protocols

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