Artificial Intelligence Engineer

Job Title: Senior AI Developer / Engineer

Experience: 6+ Years

Location: Hyderabad

Employment Type: Full-time

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)

• 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
• Familiarity 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)
• 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