AI Developer/ Engineer

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