Job Title: Senior LLM Engineer
Duration: 12+ Months contract (Can go up to 24 Months)
Location: Remote
Join our dynamic team as a Senior Developer, specializing in the
implementation and prompt engineering of Large Language Models (LLMs).
In this role, you will harness the power of state-of-the-art LLMs to
revolutionize personalized communication and automated processes
within a digitally-driven retail telecom environment. This position
requires a strong technical foundation (70%) complemented by strategic
business insights and prowess to write, validate and predict consumer
prompts (30%), aimed at deploying scalable, high-impact LLM solutions
that enhance digital commerce and customer interaction. The deep
understanding of consumer interaction patterns in search, chatbot, etc
is a must have.
Key Responsibilities:
Advanced LLM Integration: Implement and refine large language models
to develop cutting-edge systems for personalized customer interactions
and automation, ensuring scalability and efficiency.
• Prompt Engineering Excellence: Employ advanced
prompt engineering techniques to fine-tune LLM interactions, achieving
tailored and contextually appropriate responses that elevate the
consumer experience in the telecom retail sector.
• Open-source Optimization: Adapt and optimize
open-source LLMs from platforms like Hugging Face, aligning them with
specific consumer needs and seamlessly integrating them into our
existing infrastructure.
• Collaborative Innovation: Work closely with the
digital marketing and customer experience teams to leverage LLMs in
enhancing digital engagement, customer satisfaction, and e-commerce
initiatives.
• Robust LLM Management: Oversee the deployment,
maintenance, and scaling of LLM solutions, prioritizing reliability,
performance, and security across all digital platforms.
• Required Skills and Experience:
• Proven LLM Expertise: Strong proficiency in the
implementation, integration, and management of large language models,
with a deep understanding of their capabilities and potential
applications.
• Technical Proficiency: Advanced skills in
programming and scripting, particularly in Python, essential for LLM
development and customization.
• Cloud Architecture Acumen: Familiarity with cloud
computing services and architectures, crucial for deploying and
managing scalable LLM applications.
• Strategic Communication: Ability to articulate
complex technical details and LLM strategies effectively to both
technical and non-technical stakeholders.
Preferred Qualifications:
• Digital and E-commerce Experience: Background in
the retail telecom sector, with insights into digital marketing,
e-commerce challenges, and customer engagement strategies.
• Ecosystem Expertise: Experience with Google's and
OpenAI's LLM ecosystems, applying these technologies to drive tangible
improvements in customer experience and business operations.
• Project Leadership: Demonstrated success in
leading cross-functional projects that integrate LLM technology to
boost customer service and enhance operational efficiency.
• Impactful Portfolio: A robust portfolio of
projects where LLM implementations have significantly improved
customer engagement or streamlined operational processes.
--
-- Duration: 12+ Months contract (Can go up to 24 Months)
Location: Remote
Join our dynamic team as a Senior Developer, specializing in the
implementation and prompt engineering of Large Language Models (LLMs).
In this role, you will harness the power of state-of-the-art LLMs to
revolutionize personalized communication and automated processes
within a digitally-driven retail telecom environment. This position
requires a strong technical foundation (70%) complemented by strategic
business insights and prowess to write, validate and predict consumer
prompts (30%), aimed at deploying scalable, high-impact LLM solutions
that enhance digital commerce and customer interaction. The deep
understanding of consumer interaction patterns in search, chatbot, etc
is a must have.
Key Responsibilities:
Advanced LLM Integration: Implement and refine large language models
to develop cutting-edge systems for personalized customer interactions
and automation, ensuring scalability and efficiency.
• Prompt Engineering Excellence: Employ advanced
prompt engineering techniques to fine-tune LLM interactions, achieving
tailored and contextually appropriate responses that elevate the
consumer experience in the telecom retail sector.
• Open-source Optimization: Adapt and optimize
open-source LLMs from platforms like Hugging Face, aligning them with
specific consumer needs and seamlessly integrating them into our
existing infrastructure.
• Collaborative Innovation: Work closely with the
digital marketing and customer experience teams to leverage LLMs in
enhancing digital engagement, customer satisfaction, and e-commerce
initiatives.
• Robust LLM Management: Oversee the deployment,
maintenance, and scaling of LLM solutions, prioritizing reliability,
performance, and security across all digital platforms.
• Required Skills and Experience:
• Proven LLM Expertise: Strong proficiency in the
implementation, integration, and management of large language models,
with a deep understanding of their capabilities and potential
applications.
• Technical Proficiency: Advanced skills in
programming and scripting, particularly in Python, essential for LLM
development and customization.
• Cloud Architecture Acumen: Familiarity with cloud
computing services and architectures, crucial for deploying and
managing scalable LLM applications.
• Strategic Communication: Ability to articulate
complex technical details and LLM strategies effectively to both
technical and non-technical stakeholders.
Preferred Qualifications:
• Digital and E-commerce Experience: Background in
the retail telecom sector, with insights into digital marketing,
e-commerce challenges, and customer engagement strategies.
• Ecosystem Expertise: Experience with Google's and
OpenAI's LLM ecosystems, applying these technologies to drive tangible
improvements in customer experience and business operations.
• Project Leadership: Demonstrated success in
leading cross-functional projects that integrate LLM technology to
boost customer service and enhance operational efficiency.
• Impactful Portfolio: A robust portfolio of
projects where LLM implementations have significantly improved
customer engagement or streamlined operational processes.
Thivya Jothi
US IT Recruiter | Techorbit
1300 W Walnut Hill Lane, Suite# 260, Irving, TX 75038
E-Mail: jothi@techorbit.com || Contact: 469-9235803
Follow us: https://www.linkedin.com/company/techorbit-inc
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