Agentic AI Engineer

Job Summary

We are seeking a highly skilled Agentic AI Engineer / Data Scientist to design, develop, and deploy advanced AI-driven systems capable of autonomous reasoning, decision-making, and workflow orchestration. The ideal candidate will have strong expertise in Generative AI, LLMs, AI agents, machine learning, and data science, along with hands-on experience building scalable AI applications in cloud environments.

This role involves developing intelligent AI agents, integrating large language models, building ML pipelines, and collaborating with cross-functional teams to deliver innovative AI solutions for enterprise applications.

Key Responsibilities

• Design and develop Agentic AI systems using LLMs, autonomous agents, and multi-agent frameworks

• Build and deploy AI/ML models for prediction, automation, and intelligent decision-making

• Develop AI workflows using frameworks such as Lang

Chain, Lang

Graph, CrewAI, Auto

Gen, or Semantic Kernel

• Fine-tune and optimize LLMs including GPT, Llama, Claude, Gemini, or open-source models

• Create scalable data pipelines for structured and unstructured data processing

• Implement Retrieval-Augmented Generation (RAG) architectures and vector databases

• Work with cloud platforms such as AWS, Azure, or GCP for AI deployment and MLOps

• Collaborate with business stakeholders, product teams, and engineers to define AI use cases

• Develop APIs and integrate AI solutions into enterprise applications

• Monitor model performance, accuracy, and scalability in production environments

• Ensure AI solutions comply with security, governance, and responsible AI standards

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or related field

• 5+ years of experience in AI/ML engineering or data science

• Strong programming skills in Python

• Hands-on experience with machine learning and deep learning frameworks such as Tensor

Flow or Py

Torch

• Experience with Generative AI and Large Language Models (LLMs)

• Expertise in prompt engineering, RAG, embeddings, and vector databases

• Knowledge of AI agent frameworks like Lang

Chain, CrewAI, Auto

Gen, or Lang

Graph

• Experience with SQL, NoSQL, and big data technologies

• Familiarity with Docker, Kubernetes, CI/CD, and MLOps practices

• Experience with cloud AI services on AWS, Azure, or GCP

Preferred Qualifications

• Experience with multi-agent AI systems and autonomous workflows

• Knowledge of NLP, Computer Vision, or Reinforcement Learning

• Experience with AI observability and evaluation frameworks

• Exposure to enterprise AI governance and AI security practices

• Certifications in Cloud AI or Machine Learning are a plus

Technical Skills

• Python, SQL, APIs

• Tensor

Flow, Py

Torch, Scikit-learn

• Lang

Chain, Lang

Graph, CrewAI, Auto

Gen

• OpenAI, Azure OpenAI, Anthropic Claude, Gemini

• Vector Databases: Pinecone, Weaviate, FAISS, ChromaDB

• Docker, Kubernetes, Git

Hub Actions

• AWS / Azure / GCP

• Data Engineering & MLOps

Soft Skills

• Strong analytical and problem-solving abilities

• Excellent communication and stakeholder management skills

• Ability to work in agile and fast-paced environments

• Strong collaboration and leadership mindset

Nice to Have

• Experience building AI copilots or enterprise chatbots

• Knowledge of AI orchestration and workflow automation

• Experience in healthcare, finance, manufacturing, or enterprise domains

• Exposure to Responsible AI and AI ethics frameworks