About this role
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
- Opportunity to work
on cutting-edge AI and GenAI projects
- Continuous learning and
professional development
- Collaborative and
innovation-driven culture
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