MyAdvice logo
MyAdvice

MyAdvice believes “digital marketing shouldn’t be confusing and frustrating” and delivers guidance, insights, and tools for its clients’ business growth

AI Engineer I (Generative AI)

Location

India

Posted

7 days ago

Salary

₹12 - ₹15 / year

Seniority

Mid Level

No structured requirement data.

Job Description

AI Engineer I (Generative AI)

MyAdvice

Role Description Our AI Engineers are responsible for designing, developing, and deploying advanced Generative AI solutions to support innovative product capabilities across MyAdvice. This role focuses on building scalable AI systems, including LLM-powered pipelines, AI agents, and retrieval-augmented generation (RAG) solutions. You’ll work closely with cross-functional teams to turn business problems into intelligent, automated, and reliable AI-powered experiences. The ideal candidate is deeply hands-on with modern LLM ecosystems, can work with frameworks like LangChain and vector databases, and has experience fine-tuning and optimising foundation models, including GPT, LLaMA, Gemini and similar architectures. This position requires a strong grasp of Python, cloud platforms, MLOps processes, and production deployment standards. If you are passionate about Generative AI, constantly tinkering with new techniques, love solving complex problems, and want to build real-world AI systems at scale, you’ll thrive in this position! Essential Duties - Design, build, and deploy Generative AI applications, including chat systems, AI agents, automated workflows, and intelligent content pipelines. - Develop and maintain RAG (retrieval-augmented generation) architectures using vector stores (e.g., Pinecone, FAISS, Weaviate). - Fine-tune and evaluate large language models (LLMs), including GPT models, LLaMA, Gemini, and other modern architectures. - Implement prompt engineering strategies, prompt templates, and reusable frameworks to enhance model reliability and output quality. - Design, create, and maintain reusable AI skills, system rules, guardrails, and workflow instructions to standardize AI behavior, improve reliability, and support scalable automation across internal and client-facing AI systems. - Build end-to-end production-ready AI pipelines including data ingestion, preprocessing, training, evaluation, and continuous monitoring. - Develop tools and internal frameworks that accelerate model experimentation, evaluation, and deployment. - Integrate AI solutions into existing MyAdvice systems through REST APIs, microservices, or application middleware. - Collaborate with engineering, product, and client success teams to identify opportunities for automation and AI-powered enhancements. - Apply software engineering best practices including version control, code reviews, CI/CD, and automated testing for ML systems. - Stay current with rapid advances in AI, LLMs, multimodal models, embeddings, and MLOps technologies; propose improvements and new capabilities. - Provide technical guidance, documentation, and internal knowledge sharing related to Generative AI frameworks and production workflows. Qualifications - 1–3 years of experience in AI/ML engineering, software engineering, or a related field. - Bachelor’s degree in Computer Science, Engineering, AI/ML, or related field preferred. - Prior experience deploying AI solutions in a production or enterprise environment. - Legally authorized to work in India. - High-speed internet to support remote work. Requirements - Strong proficiency in Python (must). - Solid understanding of data structures, algorithms, and software design principles. - Experience with transformer-based LLMs and modern AI frameworks. - Hands-on with LangChain, LlamaIndex, HuggingFace Transformers, or equivalent. - Experience building RAG pipelines, embedding models, and vector database integrations. - Familiarity with AI agent frameworks and multi-step generative workflows. - Hands-on experience creating AI skills, reusable system instructions, agent rules, guardrails, and workflow-specific prompts to control and improve LLM behavior. - Experience deploying ML systems on AWS / GCP. - Proficiency with containerization: Docker, Kubernetes. - Understanding of distributed computing, model hosting, and serverless deployments. - Experience with MLOps tooling: MLflow, Weights & Biases, Sagemaker, Vertex AI, etc. - Familiarity with CI/CD pipelines, Git workflows, and testing automation for ML. - Experience working with GPT, LLaMA, Claude, Gemini or similar LLMs. - Knowledge of embeddings, tokenization, prompt engineering, and model optimization. - Experience building or contributing to production-grade AI pipelines. - Excellent written and verbal communication skills with high professionalism. - Strong attention to detail, critical thinking, and problem-solving ability. - Ability to manage multiple priorities and communicate progress effectively. - Demonstrated curiosity, adaptability, and willingness to learn cutting-edge AI innovations. Benefits - Employer-contributed medical insurance (100% premium covered by the company). - Provident Fund (PF) contributions as per policy. - Leave policy: 12 Sick/Casual Leaves + 18 Annual Leaves + 10 Company Holidays. - Remote-first Company, Flexible Schedules + Early Out Fridays! - Employee Assistance Program (EAP): free mental health support, financial/legal consultations, and more. - Tuition Reimbursement Program (up to ₹1 lakh annually) + Executive Mentorship Program. - Leadership Training Program: learn the fundamentals of leading a team (available to all employees). - Ongoing personalized coaching and career development support. - Casual / Business Casual dress code and a fun work environment (games, coffee, snacks, etc.). - Core value initiatives: “Pay It Forward,” Project Fantastic (client collaboration), and more!

Related Job Pages

More LLM Engineer Jobs

Vultr logo

Senior Account Executive, AI Infrastructure Sales

Vultr

Vultr is on a mission to make high-performance cloud computing easy to use, affordable, and locally accessible.

LLM Engineer7 days ago
Full TimeRemoteTeam 201-500Since 2014H1B No Sponsor

• Strategic Account Ownership • Drive AI Infrastructure Revenue • Customer-Centric Engagement • Trusted Advisor • Collaborate for Success • Sales Process Excellence & Operational Hygiene • AI Ecosystem Engagement

United States
$110K - $125K / year
Cisco logo

Director of Product Marketing Strategy – AI Infrastructure

Cisco

We securely connect everything to make anything possible.

LLM Engineer14 days ago
Full TimeRemoteTeam 10,001+Since 1984H1B Sponsor

• lead the product marketing strategy for Cisco’s AI infrastructure portfolio • connect technical capabilities to the business outcomes customers require for AI workloads and AI-native applications • define the narrative, positioning, messaging, launch strategy, and sales enablement required to power secure, connected, AI-ready organizations • partner with Product Management, Engineering, Sales, Corporate Marketing, Analyst Relations, and Communications • translate sophisticated infrastructure innovation into market value • drive cross-functional alignment • equip the business to win with enterprise buyers and executives

California + 3 moreAll locations: California | Massachusetts | Texas | Virginia
$230.1K - $325.3K / year
Job Closed
Cisco logo

Director of Product Marketing Strategy - AI Infrastructure

Cisco

We securely connect everything to make anything possible.

LLM Engineer15 days ago
Full TimeRemoteTeam 10,001+Since 1984H1B Sponsor

Role Description Cisco is currently seeking two senior product marketing leaders to join our team. These are remote roles based in the United States, requiring significant travel (approximately 30–50% of the time). In these roles, you will lead the product marketing strategy for Cisco’s AI infrastructure portfolio, connecting technical capabilities to the business outcomes customers require for AI workloads and AI-native applications. You will: - Define the narrative, positioning, messaging, launch strategy, and sales enablement required to power secure, connected, AI-ready organizations. - Partner with Product Management, Engineering, Sales, Corporate Marketing, Analyst Relations, and Communications. - Translate sophisticated infrastructure innovation into market value. - Drive cross-functional alignment. - Equip the business to win with enterprise buyers and executives. Qualifications - Bachelor’s degree in Business, Engineering, Marketing, Communications, or a related field, or 19+ years of equivalent professional experience. - 15+ years of experience in B2B technology marketing. - 5+ years of experience in product marketing leadership specifically within enterprise infrastructure, networking, data center, cloud, security, or AI/ML platforms. - 5+ years of experience developing product positioning, messaging, go-to-market strategy, launch plans, and sales enablement assets for enterprise technology solutions. Requirements - Ability to travel domestically and internationally up to 50% of the time. - Experience working directly with product and engineering teams to translate technical roadmaps into customer-facing value propositions. - Experience leading cross-functional initiatives involving sales, marketing, and executive stakeholders. - Proficiency in utilizing market data, customer insights, and campaign performance metrics to report on strategy effectiveness. - Experience in creating and executing go-to-market strategies for category-defining technology. - Direct experience managing and influencing distributed, global teams. - Demonstrated history of delivering thought leadership content, including white papers, executive narratives, and solution briefs for technical audiences. - Experience building and executing enablement programs for global sales organizations and channel partners. - Advanced degree (MBA or equivalent) in a relevant field. Benefits - Medical, dental and vision insurance. - 401(k) plan with a Cisco matching contribution. - Paid parental leave. - Short and long-term disability coverage. - Basic life insurance. - 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees. - 1 paid day off for employee’s birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco. - 16 days of paid vacation time per full calendar year for non-exempt employees. - Flexible vacation time off program for exempt employees. - 80 hours of sick time off provided on hire date and each January 1st thereafter. - Optional 10 paid days per full calendar year to volunteer.

United States
$230.1K - $374.1K / year
Job Closed
DFIN - Donnelley Financial Solutions logo

Datacenter Service Owner

DFIN - Donnelley Financial Solutions

A leading provider of risk and compliance solutions, DFIN - Donnelley Financial Solutions offers data insights, industry expertise, and insightful technology to

LLM Engineer16 days ago
Full TimeTeam 1,750Since 2016

Title: Datacenter Service Owner Location: Lancaster, US Department: Information Technology Job Description: Join a dynamic team at the pulse of global markets, where we deliver innovative software and service solutions for essential financial reporting and capital markets transactions. At DFIN, we are a values-driven organization that empowers you to build a fulfilling career while bringing your authentic self to work every day. Our “Win as One” mentality ensures that our team’s success is directly linked to Client, Shareholder and Employee Satisfaction. Recognized as one of AMERICA'S MOST LOVED WORKPLACES® for five consecutive years and a Built In Best Places to Work for six years, we are committed to our employees’ total well-being. Enjoy competitive compensation, a flexible workplace, comprehensive benefits, and opportunities for professional growth. Bring your passion and talents to DFIN – because being YOU thrives here. Summary: At DFIN, employees are encouraged to grow their skills and advance their careers while contributing their expertise. The Datacenter Service Owner plays a key role in maintaining and supporting the company’s datacenter, ensuring all infrastructure (servers, networking, power, and cooling systems) operates efficiently and reliably. This role involves hands-on technical support, troubleshooting issues, and maintaining an optimal environment for systems, while also identifying opportunities for improvement and driving enhancements across the datacenter. The position requires strong problem-solving, communication, and teamwork skills, as well as the ability to work under pressure and take ownership of issues from start to resolution. Responsibilities: - Monitor and maintain the health of datacenter systems (servers, power, cooling, environment) - Troubleshoot and resolve server, network, and infrastructure issuesInstall, configure, upgrade, and decommission datacenter hardware - Manage and track all datacenter assets and inventory - Perform maintenance, diagnostics, and hardware replacements - Collaborate with IT teams, engineers, and vendors to support operations - Ensure compliance through audits, documentation, and change management processes - Support improvements, planning, and emergency/after-hours datacenter needs Qualifications: - 3+ years of datacenter or IT infrastructure experience - Bachelor’s degree in IT, Computer Science, or related field - Strong knowledge of servers, datacenter environments, and networking equipment - Experience installing, maintaining, and troubleshooting hardware - Strong problem-solving, technical support, and documentation skills - Good communication and teamwork abilities - Ability to stay current with evolving technologies - Ability to perform physical tasks: - Lift up to ~50 lbs occasionally - Stand frequently - Bend/reach as needed Preferred: - Certifications (CompTIA, CCNA/CCNP, etc.) - Experience with Dell hardware - Understanding of LAN/WAN and networking protocols It is the policy of Donnelley Financial Solutions to select, place, and manage all its employees without discrimination based on race, color, national origin, gender, age, religion, actual or perceived disability, veteran status, actual or perceived sexual orientation, genetic information or any other protected status. If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access jobs.dfinsolutions.com as a result of your disability. You can request a reasonable accommodation by sending an email to talentacquisition@dfinsolutions.com. At DFIN, protecting your identity is a top priority. Please be aware of scammers impersonating DFIN recruiters. DFIN recruiters will never request personal information via email or text. You will only receive a text from us if you've already been in contact. All automated messages will come from talentacquisition@dfinsolutions.com. If you ever have doubts about the legitimacy of any communication from us, please do not hesitate to reach out for verification via talentacquisition@dfinsolutions.com (this email is for general TA questions and is not used for updates on your application status). #BI-Remote

Pennsylvania