Job Title : AI Engineer - Bangalore

Working Days : Monday - Friday

Job Timing : Day shift

Position / Designation : AI Engineer

Qualification : Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or related field

Years of Experience : 4+ years of hands-on experience with LLMs and GenAI in production settings.

Employment Type : Permanent Full Time

Number of Posts : 4

Gender : Male / Female

Annual CTC / Salary : As per market standards

Selection Process :

1. Total 3 Technical rounds

2. 2 rounds evaluation with LV & 1 with client

Job Role & Responsibility :

Solution Architecture & Deployment :

- Design and deploy scalable, secure GenAI architectures integrated into customer-facing products.

- Build REST APIs for AI/ML models and deploy them in containerized environments (Docker, Kubernetes) on cloud platforms (AWS, Azure, GCP).

GenAI & LLM Development :

- Fine-tune and optimize generative models including GPT, VAEs, GANs, and transformer-based architectures.

- Apply techniques like Retrieval-Augmented Generation (RAG) and prompt engineering to enhance model performance and relevance.

- Work with both commercial and open-source LLMs (e.g., GPT-4, Claude, LLaMA 3.2, Phi).

Agentic AI Integration :

- Primary Focus : Build, deploy, and optimize AI agents leveraging frameworks such as LangChain, LangGraph, CrewAI, AgentFlow, and Autogen.

- Implement orchestration strategies, multi-agent collaboration, tool integration, and memory/state management.

- Drive experimentation to create autonomous or semi-autonomous agents that solve real business workflows and decision-making processes.

MLOps & Performance Optimization :

- Establish MLOps pipelines covering model lifecycle : training, CI/CD, monitoring, and retraining.

- Use tools like Git, Docker, Kubernetes, and vector DBs to ensure efficient and reliable deployment.

- Optimize resource utilization and infrastructure costs.

Cross-Functional Collaboration :

- Partner with engineering, data science, and product teams to align technical solutions with business goals.

- Effectively communicate complex concepts across diverse technical and non-technical audiences.

- Stay current with industry advancements and drive innovation in GenAI and AI agent strategy.

Skills :

- Strong proficiency in Python, SQL, and GenAI frameworks (e.g., LangChain).

- Hands-on experience in building and deploying AI agents with orchestration, tool use, and state management.

- In-depth knowledge of LLM architecture, RAGs, embeddings, prompt tuning, and vector databases, agentic AI patterns (ReAct, tool-calling agents, multi-step reasoning, guardrails).

- Experience with cloud platforms (AWS, Azure, GCP) and containerization.

- Strong analytical, problem-solving, and communication skills.

- Data integration experience REST APIs, Google APIs, SQL databases. Comfortable moving data between systems.

- Experience in Web development : FastAPIs, Typescript, async patterns, building production APIs, React, node.js, Component architecture, hooks, state management, consuming streaming APIs (SSE/WebSocket).

- Exposure to agentic AI tools and multi-agent workflows (e.g., CrewAI, LangGraph, Autogen).

- Familiarity with MLOps and AI deployment best practices.

- Experience in client-facing or cross-functional AI initiatives.

- Publications, open-source contributions, or demonstrable projects showcasing AI agent development.