Artificial Intelligence Engineer

Role: AI Engineer– COMPUTER VISION | GENAI | VLM/LLM

Location: Hyderabad (On-site)

Experience- 1 to 5 years

Immediate Joiners Preferred

About PeopleTech Group (A Quest Global Company)

PeopleTech Group, a Quest Global company, is a technology and digital transformation organization helping enterprises accelerate innovation through AI Engineering, Data & Analytics, Cloud Modernization, Enterprise Applications, Digital Product Development, and intelligent automation. PeopleTech combines deep technology expertise with industry understanding to design, build, and scale modern digital solutions that create measurable business value.

As part of the Quest Global ecosystem, PeopleTech brings together engineering excellence, technology capabilities, and domain expertise to deliver innovative, scalable, and future-ready solutions for enterprise customers.

About the Role

We are looking for a hands-on AI Engineer with 1–5 years of experience in Python, Computer Vision, Generative AI, and VLM/LLM technologies to join our AI engineering team. The ideal candidate will have experience building real-world AI solutions from concept to deployment and a strong understanding of how AI capabilities are integrated into products and applications.

Exposure to product development and the end-to-end product lifecycle will be an advantage, as the role involves working closely with product, engineering, and business teams.

Key Responsibilities

• Design, develop, and deploy AI/ML solutions using Python and modern AI frameworks.
• Build and optimize Computer Vision solutions for real-world business and product use cases.
• Work with Generative AI, LLMs, and Vision-Language Models (VLMs) to develop intelligent applications.
• Develop multimodal AI solutions involving image understanding, document intelligence, visual reasoning, or related use cases.
• Experiment with AI models, architectures, prompts, embeddings, and inference approaches to identify effective solutions.
• Integrate LLM/VLM capabilities into applications, workflows, and AI-powered products.
• Develop prototypes and POCs and take successful solutions towards production deployment.
• Work on model evaluation, performance optimization, accuracy improvement, latency reduction, and scalability.
• Collaborate with Product Managers, Software Engineers, Data Engineers, and other stakeholders to translate business requirements into AI solutions.
• Participate in the complete AI product development lifecycle—ideation, experimentation, development, testing, deployment, monitoring, and continuous improvement.
• Stay current with emerging developments in GenAI, LLMs, VLMs, Computer Vision, multimodal AI, and AI engineering.
• Contribute to technical design discussions and recommend appropriate AI models, tools, frameworks, and architectures.

Required Skills

• 3–5 years of hands-on experience in AI/ML engineering or a closely related role.
• Strong programming experience in Python.
• Strong understanding and hands-on experience in Computer Vision.
• Practical experience with Generative AI and LLM/VLM-based applications.
• Experience with AI/ML frameworks and libraries such as PyTorch, TensorFlow, OpenCV, Hugging Face, LangChain, or equivalent.
• Understanding of LLM/VLM concepts, model selection, inference, prompting, embeddings, RAG, and model evaluation.
• Experience working with APIs and integrating AI models into applications.
• Good software engineering fundamentals including Git, APIs, debugging, testing, and deployment practices.

Preferred / Good-to-Have Skills

• Experience developing or contributing to AI-powered products.
• Understanding of the end-to-end product development lifecycle.
• Experience taking AI solutions from POC → MVP → Production.
• Exposure to cloud platforms such as Azure, AWS, or GCP.
• Experience with Docker, Kubernetes, CI/CD, or other deployment technologies.
• Exposure to multimodal AI, Vision-Language Models, Document AI, OCR, image/video analytics, or intelligent automation.
• Experience with AI model serving, optimization, monitoring, or MLOps.
• Familiarity with databases, vector databases, embeddings, and RAG architectures.

What We Are Looking For

• A hands-on engineer who builds and ships AI solutions, not just experiments or academic prototypes.
• Ability to independently take an AI problem from requirement → POC → implementation → deployment.
• Strong problem-solving and analytical abilities.
• Ability to understand both technical requirements and product/business objectives.
• Comfort working with rapidly evolving AI technologies.
• Curiosity and a strong learning mindset, particularly around GenAI and multimodal AI.
• Ability to work effectively in a cross-functional product engineering environment.

Ideal Candidate Profile

A strong candidate would typically have experience in one or more of the following areas: Computer Vision + GenAI, VLM/LLM applications, multimodal AI, Document Intelligence, AI product development, image/video analytics, intelligent automation, or AI-powered applications.

The candidate should demonstrate meaningful hands-on implementation experience rather than only academic projects, certifications, or theoretical AI/ML exposure.

Why Join PeopleTech Group

• Work on real-world AI and GenAI use cases with enterprise customers.
• Opportunity to work with emerging technologies including VLMs, LLMs, multimodal AI, and Computer Vision.
• Exposure to the complete AI product development lifecycle.
• Collaborate with experienced AI, product, engineering, and domain teams.
• Opportunity to build scalable and production-grade AI solutions as part of a global engineering ecosystem.