Xebia It Architects
Xebia It Architects•1d ago
Naukri

Gen AI Engineer

Hybrid - Pune, Gurugram, Bengaluru
Mid Level

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Qualifications

10/10 matched

Experience Level: Mid Level

  • </strong></p><ul><li>Strong hands-on experience in <strong>Python</strong> (data handling
  • API integration
  • backend development). </li><li>Expertise in <strong>AWS services</strong> (AI/ML ecosystem preferred: Bedrock
  • SageMaker
  • Lambda
  • S3) or <strong>Azure</strong></li><li>Proven experience working with <strong>Agentix AI</strong> for developing autonomous AI agents. </li><li>Good understanding of <strong>LLMs
  • prompt engineering
  • and vector databases</strong> (e.g.
  • Pinecone
  • Weaviate). </li><li>Knowledge of <strong>REST APIs

Full Job Description

GenAI Lead Developer

Location: Bangalore, Gurgaon, Pune, Chennai

Experience: 4+ years

Key Responsibilities:

  • Design, develop, and deploy Generative AI solutions using Agentix AI frameworks and AWS Bedrock services / Azure
  • Build, fine-tune, and optimize LLMs for enterprise use cases.
  • Develop and integrate AI agents leveraging Agentix AI and Python for automation and decision-making.
  • Implement end-to-end solutions on AWS cloud (Bedrock, SageMaker, Lambda, API Gateway, etc.), / Azure
  • Collaborate with cross-functional teams to define use cases, build POCs, and scale AI solutions.
  • Ensure performance, security, and scalability of deployed GenAI systems.

Required Skills:

  • Strong hands-on experience in Python (data handling, API integration, backend development).
  • Expertise in AWS services (AI/ML ecosystem preferred: Bedrock, SageMaker, EC2, Lambda, S3) or Azure
  • Proven experience working with Agentix AI for developing autonomous AI agents.
  • Good understanding of LLMs, prompt engineering, and vector databases (e.g., Pinecone, FAISS, Weaviate).
  • Knowledge of REST APIs, microservices architecture, and containerization (Docker, Kubernetes).
  • Familiarity with data pipelines, model deployment, and MLOps best practices.

Good to Have:

  • Experience with LangChain, RAG (Retrieval Augmented Generation), or similar frameworks.
  • Knowledge of transformer architectures, NLP techniques, and fine-tuning methods.
  • Exposure to generative AI applications like chatbots, copilots, and autonomous systems.

Qualifications:

  • Bachelors/Masters in Computer Science, AI/ML, Data Science, or related field.

Company

Xebia It Architects

Xebia It Architects

Hybrid - Pune, Gurugram, Bengaluru
Posted on Naukri