Key Details

- Drive Date: October 10th
- Mode: In-Person Drive
- Drive Location: Hyderabad
- Offer Process: On-the-Spot Offers for eligible candidates on the same day.
- Work Mode: Hybrid model,3-4 days per week from the Bangalore office.
- Experience: 4.5+ years
- Notice Period: Immediate to a maximum of 45 days

We are looking for an AI Engineer with 3 to 5 years of experience to design, build, and deploy scalable AI-powered applications, Large Language Models (LLMs), and Agentic AI frameworks. In this role, you will focus on building intelligent systems, creating production ready APIs, and deploying cloud-hosted AI solutions.

You will collaborate with cross functional teams to translate emerging generative AI techniques into reliable, business driven products.

Key Responsibilities:

Agentic AI & LLM Development

- Build, evaluate, and optimize AI agents using frameworks such as LangChain, LangGraph, CrewAI, or AutoGen.
- Implement agentic workflows, multi-agent orchestration, tool integration, state management, and multi-step reasoning patterns (e.g., ReAct).
- Design robust Retrieval-Augmented Generation (RAG) pipelines, prompt tuning strategies, and context management systems.
- Integrate, fine-tune, or adapt both open-source (e.g., LLaMA, Phi) and commercial foundation models (e.g., GPT-4, Claude).Deployment & MLOps

Package AI models and agentic workflows into production-ready REST APIs.
- Containerize and deploy solutions using Docker and Kubernetes across cloud platforms (AWS, Azure, or GCP).
- Establish MLOps pipelines covering model tracking, automated deployment (CI/CD), observability, and vector database management.
- Optimize system latency, token usage,



and infrastructure cost for production workloads. Cross-Functional Collaboration
- Work alongside product managers, data scientists, and backend engineers to integrate AI capabilities into application ecosystems.
- Conduct experiments to evaluate new AI tools, frameworks, and model architecture updates

Skills & Qualifications Required

- AI & LLM Stack: Strong proficiency in Python, SQL, and GenAI frameworks (LangChain, LangGraph, CrewAI, AutoGen).
- Agentic Design: Hands-on experience building agents with tool-calling capabilities, memory retention, guardrails, and structured outputs.
- Retrieval & Data: Solid understanding of RAG architectures, embedding models, prompt engineering, and vector databases (e.g., Pinecone, Qdrant, Chroma, Weaviate).
- API & Integration: Experience building REST APIs (e.g., FastAPI) and moving data across external APIs and SQL databases.
- Cloud & DevOps: Practical experience with Docker, container management, and cloud infrastructure (AWS, Azure, or GCP).

Preferred

- 3+ years of focused experience building and shipping LLM applications or agents in production settings.
- Familiarity with AI observability and evaluation tools (e.g., LangSmith, Phoenix, MLflow).
- Demonstrable portfolio, open-source contributions, or GitHub projects focused on AI agent development.

Skills Required: GenAI, LLM, Agentic AI, RAG Cloud Platforms

Significant :

Notice period : Immediate to 15-30 days ONLY.

Candidates serving Notice period will be preferred.

Please note - There should not be Career Gap more than 6 months(No Career Break)

Graduation score should be 60% & above

Pre Screening BGV (Background Verification)is mandatory [UAN/PF without any overlap issue is required.]

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