We are seeking a versatile and highly skilled AI Engineer to join our fast-growing Full-Stack AI Solutions company. This role blends the expertise of building cutting-edge AI/ML models with the practical know-how of automation and agentic system integrations. You will design, develop, deploy, and optimize intelligent solutions that leverage the power of generative AI, automation platforms, and agent-based systems to enhance client operations, streamline workflows, and deliver measurable results. This is a unique opportunity to work across a diverse range of technologies—from fine-tuning transformer models to building real-world AI-powered automation stacks. If you’re passionate about pushing the boundaries of AI while creating real value through systems thinking and practical implementation, this role is for you. Key Responsibilities **AI/ML Development:** * Design, build, and deploy machine learning and generative AI models for custom use cases. * Fine-tune and optimize large language models (e.g., GPT, BERT) using frameworks like Hugging Face Transformers. * Conduct ongoing research to stay ahead of advancements in AI/ML, including LLMs, generative AI, and transformer-based architectures. * Develop data pipelines for preprocessing, feature engineering, and model training. * Test, validate, and monitor model performance in real-world scenarios; iterate for reliability and accuracy. * Collaborate with cross-functional teams to embed AI into products, platforms, and services. * Mentor junior engineers and contribute to technical leadership. **Automation & Agentic Systems:** * Design, implement, and maintain automation workflows using tools such as: * LangChain, LangGraph, LangSmith, LangFuse n8n, ElevenLabs, and CMS integrations. * Engineer system-to-system integrations using APIs to enable intelligent process automation. * Apply prompt and context engineering techniques to enhance the performance of conversational AI tools. * Implement prompt management and QA processes for agents and assistants. * Explore and deploy Microsoft Copilot Studio, PowerApps, and PowerAutomate solutions (preferred but not required). * Continuously evaluate emerging AI and automation tools and assess their applicability in client use cases. * Collaborate with clients and internal teams to scope, deliver, and maintain agentic and automation solutions aligned with business goals. **Qualifications** **Required** * 2+ years of hands-on experience in AI/ML development, including training and deploying models in production. * Strong programming skills in Python, with proficiency in frameworks such as TensorFlow, PyTorch, Scikit-learn, and Hugging Face Transformers. * Experience working with AI tools like Langchain, OpenAI, or Stable Diffusion. * Practical experience with automation platforms and AI agent builders (as listed above). * Deep understanding of machine learning algorithms, neural networks, and NLP concepts. * Proficiency in using REST APIs for tool and platform integrations. * Familiarity with cloud-based AI/ML platforms. * Strong analytical skills and the ability to translate business problems into technical AI/automation solutions. **Preferred** * Experience working with Agentic AI frameworks, voice automation, and prompt tuning systems. * Exposure to MLOps best practices, including model versioning, CI/CD, and monitoring. * Knowledge of reinforcement learning, GANs, or edge AI deployments. * Familiarity with distributed computing frameworks such as Spark or Ray. * Background in AI agency workflows and client-facing solution delivery. Work Environment & Benefits * Competitive salary and performance-based incentives. * Flexible work environment: Remote-first. * Collaborative, innovation-driven culture with a commitment to personal and professional growth. * Opportunity to work at the forefront of AI innovation across industries and verticals.