Senior Generative AI Engineer

2 days ago

Palakkad, Kerala, India MindBrain Full time
Agentic AI / GenAI Engineer

Experience: 4–8 Years

Location: Remote

Employment Type: Contract

Role Overview

We are seeking an experienced Agentic AI / GenAI Engineer to design, develop, and deploy next-generation intelligent agent solutions. The ideal candidate will have strong expertise in Python, LLMs, Agentic AI frameworks, and AWS cloud infrastructure, with the ability to build scalable multi-agent workflows and optimize autonomous systems for performance and reliability.

Key Responsibilities
  • Design, develop, and deploy Agentic AI solutions using frameworks such as Microsoft Autogen, CrewAI, or LangGraph.
  • Build pipelines and workflows for LLM-based agent orchestration.
  • Integrate third-party APIs, tools, and services to enable autonomous agent behavior.
  • Deploy, manage, and scale AI-driven solutions on AWS (Lambda, S3, EC2, SageMaker, API Gateway, etc.).
  • Collaborate with ML Engineers, Data Scientists, and Product teams to build production-ready solutions.
  • Optimize agents for robustness, efficiency, and performance.
  • Conduct code reviews and maintain high standards in Python development practices.
Required Skills & Qualifications
  • Strong proficiency in Python with clean, modular, and asynchronous programming experience.
  • Hands-on experience with AWS services (S3, EC2, Lambda, API Gateway, SageMaker).
  • Practical expertise in at least one Agentic AI framework:
  • Microsoft Autogen
  • CrewAI
  • LangGraph
  • Familiarity with LLMs (OpenAI, Claude, Mistral, etc.) and prompt engineering techniques.
  • Experience in multi-agent workflows and agent state management.
  • Exposure to FastAPI or Flask for AI service deployment.
Good to Have (Preferred Skills)
  • Knowledge of LangChain, RAG architectures, and vector databases (Pinecone, FAISS, Weaviate).
  • Experience with CI/CD pipelines (GitHub Actions, Jenkins).
  • Containerization using Docker and orchestration with Kubernetes.
  • Understanding of Reinforcement Learning or agent-based simulation.
Education
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related fields.

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