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

• 6+ years of hands-on experience in Artificial Intelligence, Machine Learning, or related field.