AI Engineer Experience - 3 years to 6 Years Notice Period - Immediate

CTC - 25 LPA

How many rounds of Interview - 2

Mandatory skills - LLMs with APIs, agent frameworks such as Lang Chain, Lang Graph, Auto Gen, CrewAI

Experience : 3- 5 Years

Skills :

- Working understanding of Agentic AI concepts such as autonomous agents, goal-driven reasoning, planning, memory, and tool usage.
- Hands-on experience or exposure to building single-agent solutions and contributing to multi-agent workflows for decision support and workflow automation.
- Experience developing AI agents that can perform reasoning, action execution, and outcome evaluation, with basic feedback or retry mechanisms.
- Practical experience using agent frameworks such as LangChain, LangGraph, AutoGen, CrewAI.
- Ability to integrate LLMs with APIs, tools, databases, and internal systems.
- Hands-on experience with prompt engineering, prompt chaining, tool/function calling, and structured agent workflows.
- Understanding of agent memory concepts, including short-term context handling, embeddings, and basic usage of vector databases.
- Exposure to implementing basic guardrails, logging, monitoring, and evaluation for AI or agentic systems, with awareness of enterprise governance needs.
- Good understanding of Responsible AI principles, including safety, data privacy, hallucination awareness, and human-in-the-loop approaches

Business & Delivery Skills

- Ability to understand business needs and map them to data-driven and AI-based technical solutions.
- Hands-on experience working in Agile project delivery environments.




- Ability to conceptualize and visualize end-to-end business solutions at both high-level and detailed levels.
- Strong articulation skills to translate business requirements into technical designs and AI solutions.
- Good analytical and problem-solving skills.
- Strong communication, listening, and probing skills.
- Good interpersonal skills and ability to collaborate effectively within cross-functional teams.

Roles & Responsibilities

- Understand business problems and contribute to the development of impactful, data-driven and AI-driven solutions.
- Design, develop, and support deployment of statistical, machine learning, deep learning, and agent-based AI solutions under senior guidance.
- Build factual, predictive, and AI-driven models to address business challenges.
- Identify relevant data sources, assess data accessibility, and assist in data augmentation and enrichment strategies.
- Develop meaningful data visualizations using tools such as D3.js, Dash, and Plotly
- Contribute to the implementation of agentic AI solutions that support business workflows and decision processes.
- Collaborate with business stakeholders, architects, and engineering teams to deliver scalable and reliable AI solutions.
- Follow established practices to ensure performance, reliability, security, and governance of AI solutions in enterprise environments.

Pay: ₹2,700,000.00 - ₹3,200,000.00 per year

Advantages :

- Provident Fund

Application Question(s): Work Location: Hybrid remote in Hyderabad, Telangana (Hyderabad)

📌 Ai Engineer (Hyderabad)
🏢 Kiash Solutions
📍 Hyderabad