Job Summary

AI Engineer (overall, 6-10 years with at least 2 years of AI Dev experience)

Design, develop and deploy enterprise-grade AI solutions, including AI Agents, RAG-based applications, Intelligent Automation workflows and LLM-powered platforms. The candidate will work closely with Architects, Product Owners, Data Engineers, and Business Stakeholders to build scalable, secure, and production-ready AI systems that integrate with enterprise applications and data platforms. This role requires both strong software engineering capabilities and practical expertise in Generative AI technologies.

AI Agent Development

- Design and implement autonomous and semi-autonomous AI Agents
- Implement tool calling and function calling capabilities
- Create prompt templates and prompt optimization strategies
- Define agent workflows and state management
- Optimize retrieval accuracy and response quality
- Implement knowledge grounding mechanisms
- Integrate AI solutions with enterprise systems through APIs
- Consume and expose REST APIs
- Work with structured and unstructured data sources
- Build data pipelines for AI applications
- Deploy AI solutions in cloud environments
- Implement CI/CD pipelines for AI applications

Programming Languages

- Python (Mandatory)
- JavaScript / TypeScript

AI Frameworks

Experience with one or more:

- LangChain
- LangGraph

Backend Development

- REST APIs
- GraphQL
- FastAPI

Cloud Platforms

- AWS
- Lambda

What you'll bring

- 6-10 years of software engineering experience, including at least 2 years of hands-on AI/Generative AI development experience.




- Strong programming expertise in Python (mandatory) and working knowledge of JavaScript/TypeScript .
- Experience building AI Agents, RAG-based solutions, LLM-powered applications , and other Generative AI solutions.
- Hands-on experience with LangChain, LangGraph , or similar AI orchestration frameworks.
- Strong understanding of RAG architectures, vector databases, embeddings, prompt engineering , and knowledge grounding techniques.
- Experience developing and integrating REST APIs, GraphQL services, and FastAPI-based applications .
- Cloud deployment experience on AWS , including Lambda, S3, ECS, and EKS .
- Familiarity with enterprise integrations, API development, data pipelines , and working with structured and unstructured data sources.
- Knowledge of CI/CD pipelines, containerization, and cloud-native architectures .
- Ability to collaborate effectively with architects, data engineers, product owners, and business stakeholders.
- Strong analytical, problem-solving, and communication skills with a focus on delivering scalable, secure, and production-ready AI solutions.

AI Fluency Expected

At Myridius, we expect AI fluency across all roles. This means the ability to effectively and responsibly use AI-enabled tools to improve productivity,



quality, analysis, decision-making, documentation, testing, delivery, and problem-solving within ones function. All candidates should be comfortable working with AI as a day-to-day enabler while applying sound judgment, critical thinking, and accountability for outcomes.

Valuable to Have

- Experience with Vector Databases such as Pinecone, Weaviate, Chroma, or FAISS.
- Exposure to MLOps/LLMOps practices, including model monitoring, evaluation, and AI observability.
- Experience with Docker, Kubernetes , and containerized AI application deployments.
- Familiarity with Azure OpenAI, Amazon Bedrock, OpenAI APIs , or similar enterprise AI platforms.
- Experience building multi-agent systems , intelligent automation workflows, and agent orchestration frameworks.
- Working knowledge of machine learning concepts , embeddings, fine-tuning, and model evaluation techniques.
- Experience with streaming data pipelines , event-driven architectures, and distributed systems.
- Understanding of security, governance, responsible AI , and enterprise compliance requirements.
- Exposure to DevOps best practices , Infrastructure as Code (Terraform/CloudFormation), and automated deployment pipelines.
- Certification in AWS , Generative AI, or cloud-native technologies is a plus.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 AI Engineer (Chennai)
🏢 RCG Global Services
📍 Chennai