
Artificial Intelligence Engineer
2 days ago
We are looking for a Mid-Level AI Engineer to develop and deploy advanced AI solutions leveraging AI Agentic systems, Large Language Models (LLMs), deep neural networks, NLP, and Human-in-the-Loop (HITL) methodologies.
The role involves building AI agents with reasoning and autonomy, fine-tuning LLMs for enterprise use, designing deep learning architectures, and integrating NLP capabilities for real-world applications. You will also ensure human oversight is incorporated at key stages of the AI lifecycle to improve accuracy, safety, and ethical decision-making.
Key Responsibilities
Design, develop, deploy and integrate complex AI Agents on enterprise level platforms.
Develop AI agents with autonomous reasoning and decision-making abilities using frameworks like LangChain, Google ADK, LangGraph.
Implement Human-in-the-Loop (HITL) systems where human feedback improves model performance, accuracy, and reliability.
Develop voice agents using products like VAPI
Fine-tune and deploy Large Language Models (LLMs) (e.g., AbacusAI, OPENAI, Gemini, Claude, Deepseek) for specific enterprise or product needs.
Build and optimize deep neural networks for classification, recommendation, and predictive analytics tasks.
Develop AI pipelines for data preprocessing, model training, and deployment using MLOps practices.
Ensure AI solutions are scalable, ethical, and explainable through human-in-the-loop feedback and model monitoring.
Collaborate with cross-functional teams to integrate AI into applications via APIs or microservices.
Contribute to code reviews, architecture discussions, and knowledge sharing across the AI engineering team.
Stay updated on cutting-edge research in AI agents, reinforcement learning, etc.
Deploy and manage AI workloads on cloud platforms such as:
Azure: Azure Machine Learning, Cognitive Services, AKS, Azure AI Foundry
GCP: Vertex AI, Cloud Functions
Required Qualifications
Bachelor's degree in Computer Science, AI, Data Science, or related field.
1–3 years of experience in AI/ML engineering, cloud deployment.
Strong backend experience with Python (FastAPI, Django, Flask, etc.) and proficiency in frontend frameworks (React, , Vue, etc.).
Solid understanding of machine learning concepts and integration of ML models into applications.
Familiarity with agentic AI frameworks (LangChain, LangGraph, Google ADK) or demonstrated interest in agentic system design.
Experience working as a Prompt Engineering
Experience working with RESTful APIs, microservices, and cloud platforms (Google Vertex AI and Google Cloud).
Knowledge of data structures, algorithms, and scalable system design.
Passion for AI, autonomous agents, and building innovative products.
Bonus Skills (Not Required but Great to Have)
Exposure to agentic AI tools (LangChain, Google ADK, VAPI, Vertex AI, etc.).
Experience working with vector databases (Pinecone, Weaviate, FAISS).
Understanding of prompt engineering or LLM orchestration.
Workflow Orchestration: Tools like LangGraph, Google Cloud Run, or OpenAI Function Calling for complex AI workflows.
What We Offer
Competitive salary and benefits based on experience level.
Opportunities to work across multiple industries.
Access to cutting-edge AI and Microsoft Cloud technologies.
Professional development & Microsoft certifications.
Leadership and career growth opportunities.
Ready to take the next step in your AI journey? Join us and help build the future of intelligent agents.
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