Brewkspace Pvt Ltd
Senior AI Engineer
Skills
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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