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
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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)
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Integrate agentic AI solutions with existing enterprise platforms and workflows.
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Work closely with product, data, and engineering teams to translate business requirements into AI solutions
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Monitor agent behaviors, diagnose anomalies, and refine agent instructions as needed
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Deploying agentic AI agents in production environments, ensuring reliability and performance
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Developed feedback loops for continuous agent improvement
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Conduct code reviews and mentor junior engineers
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Contribute to AI architecture, technical standards, and roadmap planning
Required Skills & Qualifications
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6+ years of hands-on experience in Artificial Intelligence, Machine Learning, or related field.
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Knowledge of developing Gen AI or AI/ML solutions from use case to production and an understanding of agentic or autonomous systems.
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Understanding of Infrastructure and DevOps related to Gen AI Use case deployments including Cloud environments, Agent Hosting, CICD deployments, docker and Kubernetes.
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Proficiency in Python development and FastAPI/Flask framework along with SQL
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Expertise with agentic AI frameworks and concepts - LangChain, LangGraph, ADK, AutoGen, Model Context Protocol (MCP), LLMs, Chain of Thought prompting, knowledge store, embeddings
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Experience with RAG techniques for knowledge base retrievals from vector DB.
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Prompt engineering techniques and fine-tuning
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Hands-on experience with model deployment (REST APIs, microservices, or cloud-based inference)
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Hands-on experience with building user experiences to support agent-based solutions.
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Experience with cloud platforms (AWS, Azure, or GCP) and AI services
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Strong problem-solving and analytical skills
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Excellent communication and cross-functional collaboration abilities
Preferred / Nice-to-Have Skills
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Machine Learning algorithms
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Deep Learning (CNNs, RNNs, Transformers)
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Natural Language Processing (NLP) and/or Computer Vision
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Experience with data processing and analysis using NumPy, Pandas, and SQL
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Familiarity with MLOps practices (model versioning, monitoring, CI/CD)
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Experience with Generative AI and LLMs (OpenAI, Hugging Face, LangChain, RAG pipelines)
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Experience with big data tools (Spark, Kafka)
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Familiarity with ethical AI, bias mitigation, and model governance
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Prior experience leading AI initiatives or mentoring teams
What We Offer
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Competitive compensation and benefits
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Flexible work arrangements
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Opportunity to work on cutting-edge AI and GenAI projects
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Continuous learning and professional development
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Collaborative and innovation-driven culture
