Do you love a career where you experience , grow, & Contribute at the same time, while earning at least 10% above the market? If so, we are excited to have bumped into you.
Learn how we are redefining the meaning of work , and be a part of the team raved by Clients, Job-seekers, and Employees.
If you are an AI Engineer looking for excitement, challenge and stability in your work, then you would be glad to come across this page.
We are an IT Solutions Integrator/Consulting Firm helping our clients hire the right professional for an exciting, long-term project. Here are a few details.
Check if you are up for maximizing your earning/growth potential, leveraging our Disruptive Talent Solution.
Role:AI Engineer
Location: Orlando,FL
Exp: 3 - 5 Years
As a Generative AI Engineer , you will work on the cutting edge of AI innovation by architecting, developing, and deploying autonomous AI systems that combine the power of LLMs and multi-modal capabilities (text, image, audio, video) . You will:
Architect and develop intelligent agentic systems that integrate LLMs and multi-modal models to perform real-world tasks.
Design autonomous workflows where AI agents interact with external APIs and data sources via advanced prompt engineering and Retrieval-Augmented Generation (RAG) .
Fine-tune and optimize pre-trained LLMs and multi-modal models for domain-specific tasks, balancing performance and efficiency.
Build distributed training pipelines and MLOps systems to ensure continuous learning and deployment scalability.
Collaborate with research, engineering, and product teams to embed AI intelligence into products and services.
Evaluate and implement AI frameworks such as LangChain, LangGraph, LlamaIndex , ensuring seamless integration with enterprise tools.
Develop full-stack applications using modern front-end (React/Angular) and back-end (Python, Java, Node.js) technologies.
Establish testing, monitoring, and observability protocols (e.g., using Langfuse, Langsmith) to validate and maintain AI outputs.
Identify and mitigate AI risks including hallucinations, bias, and security vulnerabilities.
Drive agile projects, balancing business needs, model performance, and cost-efficiency in GenAI solutions.
Continuously research and prototype with novel LLMs, agent architectures, and multi-modal models to stay ahead of innovation.
Contribute to proof-of-concept development and technical evaluation of GenAI technologies in emerging domains.
Education :
Bachelor’s degree in Computer Science, Engineering, AI/ML, or a related field. Master's or PhD preferred for senior roles.
Technical Expertise :
5–10+ years of hands-on experience in AI/ML engineering , with a focus on LLMs , multi-modal systems, and agentic AI.
Expertise in full-stack development :
Front-end: React, Angular
Back-end: Python, Java, Node.js
Strong prompt engineering experience with OpenAI GPT, Anthropic, Gemini, Llama2/3, Mistral 7B , etc.
Experience with agentic AI frameworks : LangGraph, CrewAI, AutoGen.
Familiarity with observability tools like Langfuse or Langsmith.
Proficiency in deep learning frameworks : PyTorch, TensorFlow, JAX.
Skilled in fine-tuning foundation models using techniques like SFT, PEFT, LoRA.
Experience working with structured/unstructured data and integrating it into scalable data pipelines .
Proficiency in cloud-native deployments : AWS Bedrock Agents, Azure AI Foundry Assistants, etc.
Soft Skills :
Strong problem-solving and debugging skills.
Proven track record of rapid prototyping and iterative development in agile setups.
Project management capabilities: managing tasks, timelines, and coordinating across teams.
Solid understanding of cost-benefit analysis in GenAI applications.
Excellent communication and collaboration skills within multi-disciplinary, agile teams.
Prior work on open-source GenAI tools or contributions to the LLM ecosystem.
Experience in ethical AI , bias mitigation, and responsible model deployment.
Background in research publication or public speaking in the AI/ML domain.
Visit us at . Alignity Solutions is an Equal Opportunity Employer, M/F/V/D.
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