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Senior AI Engineer

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Onsite

Senior AI Engineer

Brewkspace Pvt Ltd

Senior AI Engineer

Skills

SQL QueriesDockerDjangoFlaskPythonMicroservicesPostgreSQLMachine LearningAIAWSGitHubLinuxFastAPIAzure

10 days ago

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Important information


Contract type:

Permanent, Temporary

Location:

Karnataka, India

Work mode:

Onsite

Published on:

15 October 2026

What they need


Job Title

Senior Generative AI Engineer – Agentic AI & LLM Systems

Company Name

F9 Cybrisk Tech Pvt. Ltd. – A Technology Company of Brewkspace Group of Companies

Job Details

  • Experience: 3–5 Years
  • Employment Type: Full-time
  • Job Location: Jayanagar 7th Block, Bengaluru
  • Work Mode: Work From Office (WFO)
  • Department: Artificial Intelligence & Engineering
  • Industry: IT Services and AI Solutions

Job Summary

We are looking for an experienced Senior Generative AI Engineer with strong expertise in Python, Large Language Models (LLMs), Agentic AI, and Retrieval-Augmented Generation (RAG). The ideal candidate should have hands-on experience developing autonomous AI agents, multi-agent systems, scalable LLM applications, and production-ready Generative AI solutions using LangChain, LangGraph, and modern AI frameworks.

Key Responsibilities

  • Design, develop, and deploy autonomous AI agents and multi-agent systems using LangChain and LangGraph.
  • Build and optimize production-ready RAG pipelines using embeddings, semantic chunking, vector databases, and advanced retrieval techniques.
  • Integrate LLMs from OpenAI, Anthropic Claude, Google Gemini, Groq, and open-source models.
  • Implement prompt engineering, structured outputs, function calling, tool integration, and context management.
  • Develop agentic workflows using supervisor orchestration, reflection loops, critic agents, and human-in-the-loop mechanisms.
  • Build LLM evaluation frameworks using golden datasets, LLM-as-a-judge, regression testing, and output validation.
  • Implement guardrails and hallucination mitigation strategies to improve AI reliability.
  • Develop backend services and REST APIs using Python, FastAPI, Flask, or Django.
  • Implement LLMOps practices, including tracing, observability, prompt versioning, and token and cost monitoring.
  • Optimize AI application performance, retrieval quality, latency, and inference costs.
  • Deploy and maintain AI applications using cloud platforms, Docker, Linux, and CI/CD pipelines.
  • Collaborate with cross-functional teams to develop scalable AI-powered solutions.

Required Skills

  • Programming: Python, SQL
  • Generative AI & LLMs: OpenAI, Claude, Gemini, Groq, Hugging Face, Ollama
  • Agentic AI: LangChain, LangGraph, multi-agent orchestration, supervisor workflows, tool calling, reflection and critic loops
  • RAG: Embeddings, semantic chunking, vector search, multi-query retrieval, contextual retrieval, source-grounded generation
  • Prompt Engineering: Few-shot prompting, structured prompting, function calling, Pydantic, JSON outputs
  • LLMOps & Evaluation: LangSmith, LLM evaluation, LLM-as-a-judge, guardrails, tracing, observability, regression testing, prompt management, token and cost monitoring
  • Backend Development: FastAPI, Flask, Django, REST APIs, microservices
  • Databases & Vector Stores: PostgreSQL, ChromaDB, Qdrant
  • Cloud & DevOps: AWS, Azure, Docker, Linux, Git, GitHub, CI/CD

Required Qualifications

  • 3–5 years of relevant experience in AI/ML engineering, Generative AI, or LLM application development.
  • Strong proficiency in Python and backend development.
  • Hands-on experience building and deploying production-grade Generative AI applications.
  • Practical experience developing RAG pipelines and integrating vector databases.
  • Experience building autonomous AI agents, multi-agent systems, and tool-integrated workflows.
  • Knowledge of LLM evaluation, hallucination mitigation, and responsible AI practices.
  • Experience deploying scalable applications using cloud platforms and containerization.
  • Strong problem-solving, analytical, communication, and collaboration skills.

Preferred Qualifications

  • Experience developing complex agentic AI architectures and advanced RAG systems.
  • Knowledge of LLM evaluation frameworks, automated testing, and performance optimization.
  • Experience with LLM observability, tracing, prompt management, and cost optimization.
  • Familiarity with production deployments, CI/CD automation, and scalable AI infrastructure.

Salary

As per industry standards and candidate experience.

Work Schedule

Full-time, Work from Office.

How to Apply

Interested candidates can apply through the job portal or share their updated resume at [email protected].

Join F9 Cybrisk Tech Pvt. Ltd. and help build intelligent, scalable, and production-ready Generative AI solutions.

Pay: ₹45,000.00 - ₹50,000.00 per month

Application Question(s):

  • Do you have 3–5 years of relevant experience in AI/ML or Generative AI development?
  • Have you developed and deployed production-ready applications using Large Language Models (LLMs)?
  • Have you developed AI agents or multi-agent systems using LangGraph?

Have you implemented Retrieval-Augmented Generation (RAG) pipelines in real-world projects?

Work Location: In person

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