Hi,
We are having opening for AI Engineer- Bangalore

Working Days: Monday Friday
Job Timing: Day shift

Position / DesignationAI EngineerQualificationBachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or related fieldYears of Experience4+ years of hands-on experience with LLMs and GenAI in production settings.Permanent / Contract (If contract, period ?)Permanent Full TimeOffice / Remote / Hybrid Chennai, Bangalore, Hyderabad
Bangalore - bellandur - Latent View office
Chennai - , Rajiv Gandhi SalaiTaramani, Chennai - Latent View office
Hyderabad - Hitech city - client office Number of post4GenderMale / FemaleAnnual CTC / SalaryAs per market standardsSelection Process1- Total 3 Technical round
2- 2 rounds evaluation with LV (we can plan to take this together based on panel availability) & 1 with client Job Role & Responsibility

1. 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).

1. 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).

1. 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.

1. 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.

1. 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.
Robust 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.Joining DateNeed Immediate to 1 Month

📌 AI Engineer- Bangalore (Hyderabad)
🏢 TeamPlus Staffing Solution
📍 Hyderabad