Job Summary

We are seeking a talented Agentic AI Engineer to design,
develop, and deploy advanced AI agents capable of autonomous reasoning,
decision -making, and self -directed task execution. This role
requires expertise in modern AI architecture, reinforcement learning,
multi -agent solution frameworks, and the deployment of agentic AI
solutions. You will collaborate with cross -functional teams to create
intelligent systems that drive business value and innovation.

Key Responsibilities

- Design and Development: Build and optimize agentic
AI systems (e.g., autonomous agents, multi -agent frameworks, LLM -powered
agents, MCP, RAG, Agent Skills, Context Engineering, Agent Memory)

- Integrate agentic AI
solutions with existing enterprise platforms and workflows.

- Work closely with
product, data, and engineering teams to translate business requirements
into AI solutions

- Monitor
agent behaviors, diagnose anomalies, and refine
agent instructions as needed

- Deploying agentic AI agents in
production environments, ensuring reliability and performance

- Developed feedback loops
for continuous agent improvement

- Conduct code reviews and
mentor junior engineers

- Contribute to AI
architecture, technical standards, and roadmap planning

Required Skills & Qualifications

- 6+ years of




hands -on experience in Artificial Intelligence, Machine Learning, or
related field.

- Knowledge of developing
Gen AI or AI/ML solutions from use case to production and an understanding
of agentic or autonomous systems.

- Understanding of
Infrastructure and DevOps related to Gen AI Use case deployments including
Cloud environments, Agent Hosting, CICD deployments, docker and
Kubernetes.

- Proficiency in Python development
and FastAPI/Flask
framework along with SQL

- Expertise with
agentic AI frameworks and concepts - LangChain, LangGraph, ADK, AutoGen, Model
Context Protocol (MCP), LLMs, Chain of Thought prompting, knowledge store,
embeddings

- Experience with RAG
techniques for knowledge base retrievals from vector DB.

- Prompt engineering
techniques and fine -tuning

- Hands -on experience
with model deployment (REST APIs, microservices, or
cloud -based inference)

- Hands -on experience with
building user experiences to support agent -based solutions.





- Experience with cloud
platforms (AWS, Azure, or GCP) and AI services

- Strong problem -solving
and analytical skills

- Excellent communication
and cross -functional collaboration abilities

Preferred / Nice -to -Have Skills

- Understanding of:

- Machine Learning
algorithms

- Deep Learning (CNNs,
RNNs, Transformers)

- Natural Language
Processing (NLP) and/or Computer Vision

- Experience with data
processing and analysis using NumPy, Pandas, and SQL

- Familiarity
with MLOps practices (model versioning, monitoring, CI/CD)

- Experience with Generative
AI and LLMs (OpenAI, Hugging Face, LangChain, RAG
pipelines)

- Experience with big data
tools (Spark, Kafka)

- Familiarity with ethical
AI, bias mitigation, and model governance

- Prior experience leading
AI initiatives or mentoring teams

What We Offer

- Competitive compensation
and benefits

- Flexible work
arrangements

- Prospect to work
on cutting -edge AI and GenAI projects

- Continuous learning and
professional development

- Collaborative and
innovation -driven culture