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Job Closed

AI Engineer/ Gen AI Engineer

  • Source: Naukri
  • FORNAX TECHNOLOGY SERVICES PRIVATE LIMITED
  • On-site
  • Bengaluru
  • Full-Time
  • Mid level

Job Description

**Job Title: Generative AI Engineer (Python Agentic AI)**

Location: Hyderabad/ Bangalore/ Chennai & Pune

Experience: 4-8 Years (Relevant of 3Years is a mandate)

Employment Type: Contract to Hire

Role Overview

We are looking for a highly skilled Generative AI Engineer with strong Python expertise to design, build, and scale cutting-edge agentic AI solutions. The ideal candidate will have hands-on experience with LLMs, RAG pipelines, and agent orchestration frameworks, along with a passion for solving complex real-world problems using AI.

Key Responsibilities

  • Design, develop, and enhance AI and Generative AI solutions using Python
  • Build and manage agentic workflows for complex task automation and orchestration
  • Develop and optimize RAG (Retrieval-Augmented Generation) pipelines
  • Create effective prompts, system instructions, and agent interaction patterns
  • Implement agent-based architectures using frameworks like LangGraph or similar
  • Define agent behaviors, instructions, and decision-making flows
  • Work with Model Context Protocol (MCP) for structured agent communication
  • Integrate ML lifecycle tools such as MLflow for tracking and experimentation
  • Collaborate within Agile teams to deliver high-quality AI solutions
  • Debug, optimize, and improve performance of AI applications

Mandatory Skills

  • Strong hands-on experience in Python development
  • Solid understanding of AI / Machine Learning / Generative AI concepts
  • Experience building agentic AI systems (AI agents, multi-agent workflows)
  • Hands-on experience with agent development frameworks (ADK / LangGraph / similar)
  • Strong knowledge of prompt engineering and instruction design
  • Experience with agent orchestration patterns and workflows
  • Working knowledge of Model Context Protocol (MCP)
  • Hands-on experience with RAG techniques
  • Familiarity with MLflow or similar ML lifecycle tools
  • Exposure to LangGraph or graph-based orchestration frameworks
  • Strong debugging, analytical, and problem-solving skills
  • Experience working in Agile environments

Good to Have

  • Experience with Big Data ecosystems (Spark, Databricks, etc.)
  • Hands-on experience with PySpark
  • Exposure to data engineering, MLOps, or cloud platforms (AWS/Azure/GCP)
  • Experience building scalable data pipelines
  • Familiarity with deploying AI solutions in enterprise environments

What Were Looking For

  • Strong ownership mindset and ability to build end-to-end solutions
  • Passion for GenAI, LLMs, and emerging AI technologies
  • Ability to translate business problems into scalable AI solutions
  • Excellent communication and collaboration skills

Why Join Us

  • Work on cutting-edge AI and GenAI projects
  • Opportunity to build next-generation agentic AI systems
  • Collaborative and innovation-driven environment
  • Continuous learning and growth opportunities

Interested candidates can apply by sharing their updated resume to:

[email protected]

9480472871

Skills

  • Python
  • LangGraph
  • ml-flow
  • mlflow
  • microsoft-graph
  • Spark
  • azure-databricks
  • databricks
  • pyspark
  • amazon-web-services
  • microsoft-azure
  • google-cloud-platform
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