Job Description
In this role, you will tackle the most critical challenges in modern AI, including data privacy, bias mitigation, and the prevention of model hallucinations and prompt injection vulnerabilities. Working within highly regulated sectors like financial services and healthcare, you will collaborate with cross-functional teams to deliver business-ready AI solutions that are both innovative and regulatory-aligned. This is a high-impact position that offers a lucrative salary package and the opportunity to work with a cutting-edge tech stack including Hugging Face, LangChain, CrewAI, and major agent SDKs.
We are looking for a technical leader with a Master’s degree and at least five years of experience in AI/ML, including three years of hands-on expertise in NLP and Generative AI. If you have a proven track record of scaling AI solutions on cloud platforms like AWS, Azure, or GCP and are passionate about building ethical, high-performance AI systems, we invite you to join us in shaping the future of responsible AI governance.
Key Responsibilities
Design, develop, and deploy large language model (LLM) pipelines, incorporating foundational models, retrieval-augmented generation (RAG), memory and caching mechanisms, and external API integrations.
Implement generative AI solutions tailored to the needs of regulated industries such as financial services and healthcare.
Apply advanced natural language processing (NLP) techniques and frameworks to address complex language understanding and generation challenges.
Deploy, manage, and scale AI solutions on cloud platforms (AWS, Azure, GCP).
Develop safeguards, monitoring systems, and compliance frameworks to ensure responsible and regulatory-aligned AI deployment.
Collaborate with cross-functional teams, including product, compliance, engineering, and data science, to deliver business-ready AI solutions.
Skills & Qualifications
Proven expertise in developing and deploying large language models (LLMs) and generative AI solutions.
Proficiency in Python and widely adopted AI/ML libraries, including Hugging Face
Transformers, LangChain, CrewAI, Sklearn, Plotly, TRL, FastAPI
Experience with agent development platforms and SDKs, such as: OpenAI Agent SDK, Google Agent SDK Dialogflow, VAPI, Salesforce AgentForce, Microsoft Copilot
Education & Experience
Master’s degree in Computer Science, Data Science, or a related field.
Minimum 5 years of experience in developing and deploying AI/ML solutions.
At least 3 years of recent, hands-on experience in NLP and generative AI projects.
Proven track record of delivering successful AI initiatives in regulated industries, preferably financial services or healthcare.
Apply for this job
Skills & Qualifications
Proven expertise in developing and deploying large language models (LLMs) and generative AI solutions.
Proficiency in Python and widely adopted AI/ML libraries, including Hugging Face
Transformers, LangChain, CrewAI, Sklearn, Plotly, TRL, FastAPI
Experience with agent development platforms and SDKs, such as: OpenAI Agent SDK, Google Agent SDK Dialogflow, VAPI, Salesforce AgentForce, Microsoft Copilot
Education & Experience
Master’s degree in Computer Science, Data Science, or a related field.
Minimum 5 years of experience in developing and deploying AI/ML solutions.
At least 3 years of recent, hands-on experience in NLP and generative AI projects.
Proven track record of delivering successful AI initiatives in regulated industries, preferably financial services or healthcare.
Preferred Skills
Strong problem-solving and analytical thinking abilities.
Excellent communication skills for articulating AI concepts to diverse stakeholders.
Ability to collaborate effectively across cross-functional teams.
Adaptability to rapidly evolving AI technologies and industry standards.