Globalify Solutions
Overview
We are seeking a
Senior Generative AI Developer
to lead the design, development, and deployment of advanced AI-driven solutions using cutting-edge Generative AI models and frameworks. The ideal candidate is a hands-on developer with deep expertise in
Large Language Models (LLMs) ,
Natural Language Processing (NLP) , and
Deep Learning , capable of building scalable and production-ready GenAI applications that solve real business problems. Key Responsibilities
Design, build, and fine-tune Generative AI and LLM-based models
(e.g., GPT, Llama, Claude, Mistral) tailored for
financial and banking use cases
such as credit analysis, compliance automation, report generation, and conversational banking. Develop
retrieval-augmented generation (RAG)
pipelines using vector databases (Pinecone, FAISS, Weaviate, etc.) to integrate structured financial data and unstructured content. Collaborate with
data scientists, financial analysts, and product teams
to design intelligent AI-driven tools for areas like risk assessment, portfolio insights, and client communication. Implement
secure AI frameworks
ensuring compliance with
financial data regulations (GDPR, PCI DSS, etc.) . Apply
prompt engineering and model optimization techniques
to enhance contextual accuracy and reduce hallucinations in sensitive banking scenarios. Integrate AI solutions with enterprise systems, APIs, and
cloud environments (AWS, Azure, GCP)
following MLOps best practices. Build and maintain
LLM-powered chatbots, assistants, and workflow automation tools
for internal and client-facing platforms. Stay ahead of emerging
AI governance, ethics, and regulatory trends
within the financial technology space. Mentor junior AI developers and contribute to
best practices, documentation, and technical standards . Required Qualifications
Bachelor’s or Master’s degree
in Computer Science, AI, Data Science, or a related discipline. 5+ years of AI/ML experience , with at least
2 years in Generative AI or LLM-based development . Deep understanding of
financial systems, data flows, and compliance frameworks
in banking. Hands-on experience with
Python ,
PyTorch ,
TensorFlow ,
LangChain ,
Hugging Face Transformers , and
OpenAI API . Strong knowledge of
vector databases ,
embeddings , and
RAG pipelines
for data-grounded AI systems. Experience deploying
GenAI solutions in secure, large-scale enterprise environments . Expertise in
model fine-tuning, inference optimization, and API integration . Familiarity with
cloud services (AWS Sagemaker, Azure ML, GCP Vertex AI)
and containerization tools (Docker, Kubernetes). Preferred Qualifications
Experience working in
banking, fintech, or financial data analytics
domains. Exposure to
risk modeling, fraud detection, or client servicing automation
through AI. Knowledge of
LLM guardrails, responsible AI principles, and AI observability frameworks . Hands-on experience with
MLOps pipelines, CI/CD for AI models, and version control (Git, DVC) . Contributions to open-source AI/ML projects or published research in NLP/LLM fields. Employment details
Seniority level : Mid-Senior level Employment type : Contract Job function : Engineering and Information Technology Industries : IT Services and IT Consulting
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We are seeking a
Senior Generative AI Developer
to lead the design, development, and deployment of advanced AI-driven solutions using cutting-edge Generative AI models and frameworks. The ideal candidate is a hands-on developer with deep expertise in
Large Language Models (LLMs) ,
Natural Language Processing (NLP) , and
Deep Learning , capable of building scalable and production-ready GenAI applications that solve real business problems. Key Responsibilities
Design, build, and fine-tune Generative AI and LLM-based models
(e.g., GPT, Llama, Claude, Mistral) tailored for
financial and banking use cases
such as credit analysis, compliance automation, report generation, and conversational banking. Develop
retrieval-augmented generation (RAG)
pipelines using vector databases (Pinecone, FAISS, Weaviate, etc.) to integrate structured financial data and unstructured content. Collaborate with
data scientists, financial analysts, and product teams
to design intelligent AI-driven tools for areas like risk assessment, portfolio insights, and client communication. Implement
secure AI frameworks
ensuring compliance with
financial data regulations (GDPR, PCI DSS, etc.) . Apply
prompt engineering and model optimization techniques
to enhance contextual accuracy and reduce hallucinations in sensitive banking scenarios. Integrate AI solutions with enterprise systems, APIs, and
cloud environments (AWS, Azure, GCP)
following MLOps best practices. Build and maintain
LLM-powered chatbots, assistants, and workflow automation tools
for internal and client-facing platforms. Stay ahead of emerging
AI governance, ethics, and regulatory trends
within the financial technology space. Mentor junior AI developers and contribute to
best practices, documentation, and technical standards . Required Qualifications
Bachelor’s or Master’s degree
in Computer Science, AI, Data Science, or a related discipline. 5+ years of AI/ML experience , with at least
2 years in Generative AI or LLM-based development . Deep understanding of
financial systems, data flows, and compliance frameworks
in banking. Hands-on experience with
Python ,
PyTorch ,
TensorFlow ,
LangChain ,
Hugging Face Transformers , and
OpenAI API . Strong knowledge of
vector databases ,
embeddings , and
RAG pipelines
for data-grounded AI systems. Experience deploying
GenAI solutions in secure, large-scale enterprise environments . Expertise in
model fine-tuning, inference optimization, and API integration . Familiarity with
cloud services (AWS Sagemaker, Azure ML, GCP Vertex AI)
and containerization tools (Docker, Kubernetes). Preferred Qualifications
Experience working in
banking, fintech, or financial data analytics
domains. Exposure to
risk modeling, fraud detection, or client servicing automation
through AI. Knowledge of
LLM guardrails, responsible AI principles, and AI observability frameworks . Hands-on experience with
MLOps pipelines, CI/CD for AI models, and version control (Git, DVC) . Contributions to open-source AI/ML projects or published research in NLP/LLM fields. Employment details
Seniority level : Mid-Senior level Employment type : Contract Job function : Engineering and Information Technology Industries : IT Services and IT Consulting
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