AI/ML Engineer – Agentic AI
- Role
- AI / ML
- Employment
- Full-time
Open to IN only. Set where you work from to check your eligibility.
Core skills
Required skills
Optional skills
Role OverviewWe are looking for an experienced AI/ML Engineer with expertise in Agentic AI to design, develop, and deploy enterprise-grade AI solutions. The ideal candidate should have strong experience in Python, LLMs, RAG, multi-agent systems, and cloud platforms.ResponsibilitiesDesign and deploy enterprise-grade autonomous AI agents.Build AI workflows with reasoning, planning, memory, and task orchestration.Develop RAG pipelines using vector databases and embedding models.Integrate AI agents with enterprise applications and APIs.Implement tool calling, guardrails, and feedback mechanisms.Deploy AI solutions using Docker, Kubernetes, and cloud services.Ensure Responsible AI, security, monitoring, and observability.RequirementsStrong Python programming skills.Experience with LangGraph, LangChain, CrewAI, or AutoGen.Proficiency with OpenAI, Azure OpenAI, or Anthropic.Expertise in RAG and Vector Databases.Experience with Prompt Engineering and Multi-Agent Systems.Knowledge of REST APIs, Docker, Kubernetes, and cloud platforms (Azure, AWS, or GCP).Nice to HaveSemantic KernelKnowledge GraphsEnterprise Copilot DevelopmentReinforcement Learning (RL)LoRA Fine-TuningAI Supervisor ArchitecturesSkillsPythonLangChainOpenAIVector DatabasesDocker
What you'll do
- Design and deploy enterprise-grade autonomous AI agents.
- Build AI workflows with reasoning, planning, memory, and task orchestration.
- Develop RAG pipelines using vector databases and embedding models.
- Integrate AI agents with enterprise applications and APIs.
- Implement tool calling, guardrails, and feedback mechanisms.
- Deploy AI solutions using Docker, Kubernetes, and cloud services.
- Ensure Responsible AI, security, monitoring, and observability.
What they require
- Strong Python programming skills.
- Experience with LangGraph, LangChain, CrewAI, or AutoGen.
- Proficiency with OpenAI, Azure OpenAI, or Anthropic.
- Expertise in RAG and Vector Databases.
- Experience with Prompt Engineering and Multi-Agent Systems.
- Knowledge of REST APIs, Docker, Kubernetes, and cloud platforms (Azure, AWS, or GCP).