- *Position Title : AI/ML Engineer – Agentic AI**
- *Experience Required:** 4–6 Years (Should be open to Travel)
- *Employment Type :** Full\-Time
We are seeking a highly skilled AI/ML Engineer with hands\-on experience in building intelligent AI systems, machine learning models, and Agentic AI solutions. The ideal candidate will have strong expertise in designing, developing, and deploying AI\-powered applications leveraging LLMs, autonomous agents, orchestration frameworks, and modern ML techniques.
The role requires a strong engineering mindset, practical AI implementation experience, and the ability to work across the full AI/ML lifecycle from experimentation to production deployment.
- *Key Responsibilities*** Design, develop, and deploy AI/ML solutions for real\-world business use cases.
- Build and optimize **Agentic AI systems** using LLMs, autonomous workflows, and multi\-agent architectures.
- Develop machine learning models for prediction, classification, recommendation, NLP, and automation tasks.
- Work with orchestration frameworks such as LangChain, CrewAI, AutoGen, LangGraph, or similar technologies.
- Integrate AI agents with APIs, databases, enterprise systems, and third\-party tools.
- Fine\-tune, evaluate, and optimize Large Language Models (LLMs).
- Develop Retrieval\-Augmented Generation (RAG) pipelines and vector search implementations.
- Collaborate with data engineers, software developers, and product teams to deliver scalable AI solutions.
- Perform prompt engineering, model experimentation, and performance optimization.
- Ensure AI solutions are production\-ready, scalable, secure, and cost\-efficient.
- Monitor model performance, drift, and continuous improvement processes.
- Stay updated with emerging AI, Generative AI, and Agentic AI trends and technologies.
- *Required Skills \& Expertise*** Strong hands\-on experience in **Machine Learning, Generative AI, and Agentic AI development**.
- Proficiency in Python and AI/ML development frameworks.
- Experience with:
+ LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks
+ OpenAI, Anthropic, Gemini, or open\-source LLMs
+ RAG architectures and Vector Databases
+ Prompt Engineering \& AI workflow automation
* Solid understanding of
+ NLP concepts
+ ML algorithms and model evaluation
+ Deep Learning fundamentals
+ AI model deployment and inference optimization
* Experience with ML libraries/frameworks such as
+ PyTorch
+ TensorFlow
+ Scikit\-learn
+ Hugging Face Transformers
- Experience with cloud platforms such as Azure, AWS, or GCP is preferred.
- Familiarity with Docker, APIs, CI/CD, and MLOps practices.
- Strong problem\-solving and analytical skills.
- *Preferred Qualifications*** Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or related field.
- Experience working on enterprise AI automation or AI assistant platforms is highly preferred.
- Exposure to AI governance, evaluation frameworks, and AI observability tools is a plus.
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