Generative AI Engineer

Job Description: LLM AI Agent Developer (Marketing Applications)

Location: Remote

Employment Type: Full-time

Experience: Minimum 2 years in developing LLM-based AI agents

how to apply: Interested candidates should apply using the link at bottom

About the Role

We are seeking an experienced LLM AI Agent Developer to join our team and drive the development of AI-powered marketing automation solutions. In this role, you will be responsible for designing, building, and optimizing intelligent AI agents using large language models (LLMs) to enhance customer engagement, content generation, personalization, and campaign optimization.

Key Responsibilities

• Design, develop, and deploy LLM-based AI agents tailored for marketing applications, including customer interactions, content creation, lead nurturing, and automation.
• Implement prompt engineering, fine-tuning, and reinforcement learning techniques to optimize AI agent performance.
• Integrate LLMs with APIs, databases, CRM systems, and marketing automation tools (e.g., HubSpot, Salesforce, Marketo).
• Develop and optimize chatbots, virtual assistants, and AI-driven content generation tools for marketing teams.
• Ensure AI agents align with brand voice, tone, and marketing goals while maintaining ethical AI practices.
• Work with cross-functional teams (marketing, data science, product) to define and refine AI-driven marketing strategies.
• Monitor agent performance and leverage analytics to improve response accuracy, engagement, and conversion rates.
• Stay up to date with the latest advancements in LLMs, NLP, AI frameworks, and AI ethics to drive innovation in marketing AI.

Required Skills & Qualifications

• 2+ years of experience developing LLM-based AI agents for marketing use cases.
• Proficiency in Python and frameworks such as LangChain, Transformers, OpenAI API, Hugging Face.
• Experience with fine-tuning LLMs, vector databases (e.g., Pinecone, Weaviate), and embeddings.
• Strong knowledge of NLP, deep learning, and generative AI models.
• Experience integrating AI solutions with marketing tech stacks (e.g., CMS, social media automation, email marketing platforms).
• Familiarity with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
• Understanding of AI ethics, responsible AI development, and bias mitigation in AI-driven marketing.
• Excellent problem-solving skills and ability to work in an agile, fast-paced environment.

Preferred Qualifications

• Experience with multimodal AI (text, images, video) for marketing applications.
• Familiarity with RAG (Retrieval-Augmented Generation) for personalized marketing AI.
• Prior experience working in a startup or SaaS company.

Why Join Us?

• Work on cutting-edge AI applications that shape the future of marketing.
• Opportunity to experiment with the latest LLM advancements.
• Collaborative and innovative work environment.
• Competitive salary and benefits package.

If you are passionate about AI, LLMs, and revolutionizing marketing with intelligent automation, we’d love to hear from you!

Interested candidates should apply using the link below:

https://forms.gle/sdMP7keWfD6vu4cF9

At GigaML, we’re transforming how enterprises manage customer support by deploying AI agents that resolve over 1 million customer tickets monthly for a single client through voice and chat. We’re trusted by industry leaders like Postman and Zepto (YC’s fastest-growing company), and we’re scaling fast to meet growing demand.

Our AI agents:

• Reliably navigate complex, real-world conversations with clarity
• Maintain exceptional accuracy in handling sensitive information like payments
• Operate with extremely high availability (24 hrs/day)
• Seamlessly scale to meet enterprise-level demands (+40k tickets/day)

We work hard and take pride in our commitment to delivering the best products on the market. With a strong pipeline of enterprise clients and ambitious goals, we’re moving fast to execute and deliver results.

Funding: Backed by YC President Garry Tan, Nexus Venture Partners, and other leading investors. (Endorsed by YC partners: Garry Tan CEO of YC, and Harj Taggar)

Qualifications -

• Startup Experience: We strongly prefer candidates with prior startup experience. Former founders are especially valued, as their entrepreneurial mindset and problem-solving skills align well with our fast-paced environment.
• Prior Experience: A minimum of 3 years of experience is required, with a maximum of 8 years.
• Educational Background: Ideally, candidates should have attended a college ranked in the top 40 in India.
• Backend Skills: Strong background in Python (Django experience is a plus).
• Frontend Skills: Proficiency in Next.js, React, and ShadCN.
• Cloud Platforms: Proficient with AWS or Azure.
• Scalability: Familiarity with Kubernetes and Docker is a big plus.

Core Responsibilities

• Build Product: Quickly ramp up and contribute to our Chat and Voice products, eventually owning your own product or product lines.
• Technical Leadership: Drive technical decisions and architecture design, shaping the backbone of our solutions.
• Cross-functional Collaboration: Work closely with co-founders and other team members to translate business vision into actionable project plans.
• Ownership: Take full product ownership, from ideation to launch, including integration into existing systems.

What You’ll Gain

• Impact: Be a key contributor to cutting-edge ML projects reshaping industries.
• Growth: Thrive in a dynamic, innovative environment alongside top-tier talent.
• Innovation: Work with advanced tools and continuously push boundaries.
• Autonomy: Drive your own initiatives and influence the company’s technical direction.

Required Skills

• Django
• Python
• React
• Amazon Web Services (AWS)
• Next.js

Join us and be part of a team shaping the future of AI-driven customer support!

What can you expect?

You will be part of the founding team at LDU and will be responsible for the end-to-end technology of the company including:

- Work with the founders on cutting edge technologies, including AI/ML, blockchain, computer vision, etc. across the tech-stack.

- Formulate long-term technology & product strategy along with implementation roadmap, while envisioning the tech-stack

required to scale the business 100X

- Architecting and engineering solutions across the entire technology stack including front-end, back-end, infrastructure,

architecture, server-side engineering, UI, etc. in line with the company's strategy.

- Work on the D2C website and enhance the user experience while increasing the company's online presence.

- Provide help to everyone in the team and greatly reduce the time and technical costs of team communication, technology

docking.

- Plan and collaborate with the other teams including marketing/ growth, customer success/ sales, design, operations, etc. to

implement new product features, growth hacks/ initiatives identified through user interviews/ insights, etc in a timely manner.

- Will be involved in a horizontal technical requirement, so should be able to make a prototype design for a product very rapidly

while executing the same with a wide range of techniques.

- Build processes/mechanisms to track the KPIs across product/ technology and ensure religious execution of the targets

- Build and lead the technology team including the engineering team, product team, Quality Assurance, etc.

- Awesome work-culture (flexible work timings; no need to wear formals; awesome snacks to name a few)

What are we looking for?

We are looking to onboard a Full Stack Software Engineer, who has a founder's mindset including the following traits:

- Experience of full stack development across web & mobile based technologies and should have scaled a business

- Ability to work across stacks like MEAN, MERN, LAMP, etc. seamlessly

- Ability to build scalable products/ platforms, fully redundant fault tolerant infrastructure while working on modern technologies.

- Versatile Developer/Engineer that can help on both ends of the website development and better the same by enhancing user

experience.

- Ability to Code in both frontend and backend of the site

- Stronghold in both front-end & back-end development/ algorithms with experience of building agile, highly scalable, data-driven

platforms from scratch

- Ability to be hands-on with coding across big data, mobile apps, AI & ML, analytics, DevOps, business intelligent solutions, etc.

apart from strategically guiding/ mentoring the team

- Stronghold in executing stuff on the ground and hustle around to Get things done

- Ability to think and see the big picture while focusing on short term goals and deliverables

- Leadership qualities to hire and build a kick-ass technology/ product team going forward

- Experience as a founder/ being part of founding team is huge plus but not mandatory

- Experience in the Fashion/ Apparel industry is a plus but not mandatory

We are looking for an AI Architect to join our team.

Responsibilities

• Architecture Design: Develop scalable and efficient AI architectures.
• Technical Guidance: Provide expertise and guidance to development teams.
• System Integration: Collaborate to integrate AI technologies into systems.
• Performance Optimization: Optimize AI models and infrastructure.
• Data Management: Manage large datasets for AI training.
• Ethical Considerations: Address ethical and privacy concerns.
• Technical Documentation: Create comprehensive technical documentation.
• Collaboration and Communication: Collaborate with stakeholders.
• Problem-Solving: Analyze and troubleshoot technical issues.
• Continuous Learning: Stay updated with AI advancements.

Requirements

• Education: Bachelors or masters degree in computer science or related field.
• Experience: 8+ years of experience with 3+ years as an architect. Extensive experience in Gen AI and LLM technologies, including exposure to open source LLMs is a must.
• Technical Expertise: Proficiency in NLP, machine learning, and deep learning. Familiarity with open source LLM frameworks like GPT-3/4 or similar models.
• Architectural Design: Ability to design scalable and efficient AI architectures.
• System Integration: Skill in integrating AI technologies, including open source LLMs, into new or existing systems.
• Performance Optimization: Experience in optimizing AI models and systems, including open source LLMs, for efficiency.
• Data Management: Knowledge of handling large datasets for Gen AI and LLM training, including open source LLMs.
• Ethical Considerations: Understanding of AI ethics and privacy concerns, particularly relevant to open source LLMs.
• Collaboration and Communication: Strong teamwork and communication skills.
• Problem-Solving: Aptitude for troubleshooting and resolving technical challenges related to open source LLMs.
• Continuous Learning: Willingness to stay updated with advancements in Gen AI, LLMs, and open source LLM technologies.

Job Summary:

We are seeking a highly skilled Enterprise Architect with expertise in Artificial Intelligence (AI), Microservices, and a background in insurance and healthcare to lead our organization's AI strategy, design AI solutions, and ensure alignment with business objectives. The ideal candidate will have a deep understanding of AI technologies, data analytics, cloud computing, software architecture, microservices, as well as experience in the insurance and healthcare sectors. They should be able to translate these concepts into practical solutions that drive innovation and efficiency within our enterprise. Additionally, this role will involve setting up monitoring systems to ensure the performance and reliability of our AI and microservices solutions.

Responsibilities:

AI Strategy Development:

• Collaborate with senior management to define and refine the AI strategy that aligns with the organization's goals and objectives.
• Identify opportunities to leverage AI and machine learning technologies to enhance business processes and create value.

Solution Design:

• Architect AI-driven solutions that meet business requirements, ensuring scalability, reliability, and security.
• Collaborate with cross-functional teams to define system architecture and design principles for AI applications and microservices.
• Evaluate and select appropriate AI technologies, microservices architectures, and frameworks for specific projects.

Data Management:

• Oversee data strategy, including data acquisition, preparation, and governance, to support AI and microservices initiatives.
• Design data pipelines and workflows to ensure high-quality, accessible data for AI models and microservices.

AI Model Development:

• Lead the development and deployment of AI and machine learning models.
• Implement best practices for model training, testing, and validation.
• Monitor and optimize model performance to ensure accuracy and efficiency.

Microservices Architecture:

• Define and implement microservices architecture patterns and best practices.
• Ensure that microservices are designed for scalability, flexibility, and resilience.
• Collaborate with development teams to build and deploy microservices-based applications.

Monitoring Systems:

• Set up monitoring systems for AI and microservices solutions to ensure performance, reliability, and security.
• Implement proactive alerting and reporting mechanisms to identify and address issues promptly.

Integration and Deployment:

• Work with IT teams to integrate AI solutions and microservices into existing systems and applications.
• Ensure seamless deployment and monitoring of AI and microservices solutions in production environments.

Compliance and Security:

• Ensure that AI solutions, microservices, and monitoring systems comply with relevant regulations and data privacy standards.
• Implement security measures to protect AI models, data, and microservices.

Stakeholder Communication:

• Collaborate with business stakeholders to gather requirements and provide regular updates on AI and microservices project progress.
• Translate technical concepts into non-technical language for various audiences.

Research and Innovation:

• Stay up-to-date with emerging AI, microservices, and cloud computing trends, technologies, and best practices.
• Identify opportunities for innovation and propose new AI and microservices initiatives to drive business growth.

Requirements:

• Bachelor's or Masters degree in computer science, Data Science, or a related field.
• Proven experience (X+ years) as an Enterprise Architect with a focus on AI, Microservices, and machine learning.
• Strong knowledge of AI technologies, including deep learning, natural language processing, computer vision, and reinforcement learning.
• Proficiency in data analytics, cloud computing platforms (e.g., AWS, Azure, GCP), big data technologies, and microservices architecture.
• Experience with AI model development, deployment, and monitoring, as well as microservices design and implementation.
• Excellent communication and interpersonal skills.
• Ability to lead cross-functional teams and drive innovation.
• Strong problem-solving and critical-thinking abilities.
• Knowledge of regulatory requirements and data privacy standards related to AI and microservices.

Preferred Qualifications:

• AI-related certifications (e.g., AWS Certified Machine Learning – Specialty, Google Cloud Professional Machine Learning Engineer, etc.).
• Experience in industries such as insurance and healthcare, with a deep understanding of their specific challenges and requirements.
• Previous experience with enterprise architecture frameworks (e.g., TOGAF).

This Enterprise Architect with AI, Microservices, Insurance, and Healthcare Experience role offers an exciting opportunity to shape the AI strategy, microservices architecture, and drive innovation within our organization, particularly in the insurance and healthcare sectors. Additionally, you will play a key role in setting up monitoring systems to ensure the performance and reliability of our AI and microservices solutions. If you have a passion for AI, microservices, and a strong background in these industries, we encourage you to apply and be part of our dynamic team.

Teleperformance India is a leading provider of Digital Integrated Business Services and Transformation Solutions for clients from around the world, representing all industry types. Teleperformance delivers proven solutions for optimizing processes, delivering exceptional customer experiences, and ensuring unmatched business agility. Teleperformance India also represents a global Center of Excellence within the Teleperformance group for delivering customized and cost-effective Back-Office services.

We also offer a comprehensive suite of back-office services like HR and Finance & Accounting, plus advanced automation, data analytics, Artificial Intelligence (AI), Machine Learning, and Robotics Process Automation (RPA) technologies.

QUALIFICATIONS AND REQUIREMENTS:

• Good Listening, Verbal, and written communicative skills.
• Should hold a Master’s Degree like MCA, MTECH, MSC(IT)
• Technical Training, IT, and experience in BitBuket/JIRA would be an added advantage.
• Proficient with Microsoft Office tools.
• Self-starter and able to complete tasks with little supervision.
• Detailed orientated with strong organizational skills
• 5+ years of hands-on experience in .NET, C#, MVC, jQuery, AI, AWS, AZURE, Cloud services, REST, Angular, EF, and JavaScript.
• Ability to deliver the time-critical task with his/her pro-activeness to be an inspiration to others.
• Thrive as a senior resource in a fast-paced, high-energy, change-oriented environment.
• Passionate enough to learn and contribute based on work time zone which is a key.
• Ready to handle any 24X7 ask from the organization.
• Willing to gel with the team and share knowledge with other team members to maintain knowledge transparency.

The Application Developer will be responsible for developing custom solutions specializing in C# and NET technologies to support the overall enterprise application initiatives Guides team members in

Adhere to NET framework for automation projects to ensure manageability and maintainability of ode base

7+ years of work experience in developing Business IT Applications, Digital technologies, and Platform implementation

Practical experience of developing machine learning systems

Strong software skills in Python/R/C#

Experience in using machine learning frameworks and libraries such as TensorFlow a plus

Lead and work with ML engineers and data scientists to build smart automation & ML applications

Strong software troubleshooting skills, and an understanding of programming constructs in C# NET, in a MS Windows based enterprise software environment

Lead and work with ML engineers and data scientists to build smart commerce services & ML applications

Identify what kind of data in which format should be collected in order to solve the problem

Strong understanding of programming concepts and a programming background with C# NET

Strong understanding of Process Design documents, Technical Design documents and BPMN 20 standards

Strong understanding of web technologies, HTML, CSS, JavaScript, xml, xaml

Strong understanding of relational database design, writing queries and stored procedures with MySQL or Microsoft SQL

Strong understanding of Object Oriented Analysis and Development within large enterprise level applications