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AI Summary
Design, develop, and deploy generative AI models and agentic automation systems to optimize client operations. This includes fine-tuning transformer models and building intelligent system-to-system integrations using various automation platforms.
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.
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