Role Summary

We are looking for a motivated AI Engineer with hands-on experience in Python and cloud platforms (AWS or Azure) to help design, build, and deploy Generative AI solutions. This role will work closely with senior engineers, data teams, and business stakeholders to build AI-powered applications including LLM integrations, RAG pipelines, prompt workflows, and AI-driven automation solutions. This is a hands-on engineering role - not research-only.

Non-Negotiable Skills

- Python (real coding ability, not theoretical)
- Hands-on LLM integration (not just coursework)
- Cloud deployment experience (AWS or Azure)
- RAG understanding
- API development experience

What youll do

- Design, develop, and deploy Generative AI applications using LLMs.
- Build and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases and embeddings.
- Integrate OpenAI, Azure OpenAI, AWS Bedrock, and other AI services through APIs.
- Develop REST APIs and backend services using Python, FastAPI, and Flask.
- Build AI-powered chatbots, virtual assistants, and workflow automation solutions.
- Deploy and manage AI applications on AWS or Azure cloud platforms.
- Work with structured and unstructured data, embeddings, and vector search technologies.
- Build connectors for databases such as PostgreSQL, MySQL, and SQL Server.
- Support CI/CD pipelines, containerization (Docker), and cloud-native deployment practices.
- Monitor, evaluate, and improve AI model performance, logging, and observability.

What youll bring

- 3-6 years of experience in software engineering, AI engineering, or machine learning development.
- Strong hands-on coding expertise in Python with experience building production-grade applications.
- Experience integrating Large Language Models (LLMs) into real-world applications.
- Solid understanding of Prompt Engineering, Embeddings, Vector Search, and RAG architectures.




- Experience building APIs using FastAPI, Flask, or similar frameworks.
- Hands-on experience with AWS (Bedrock, Lambda, S3, EC2, API Gateway) or Azure (Azure OpenAI, Functions, App Services, Blob Storage).
- Familiarity with vector databases such as FAISS, Pinecone, OpenSearch, or similar platforms.
- Experience with JSON-based integrations, REST APIs, and data processing workflows.
- Knowledge of Git, version control, and collaborative software development practices.
- Strong problem-solving, analytical, and communication skills.

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.

Good to Have

- Experience with LangChain, LlamaIndex, Semantic Kernel, or similar GenAI frameworks.
- Hands-on experience with Azure OpenAI Service or AWS Bedrock.
- Exposure to vector database technologies including Pinecone, Weaviate, ChromaDB, or OpenSearch.
- Experience with Databricks and up-to-date data engineering ecosystems.
- Knowledge of MLOps practices, model evaluation, monitoring, and AI governance.
- Familiarity with Kubernetes, Docker, and scalable cloud-native architectures.
- Experience implementing AI agents, multi-agent frameworks, and workflow orchestration.
- Understanding of Responsible AI, security, and compliance considerations for GenAI solutions.

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 Technical Lead (Pune)
🏢 RCG Global Services
📍 Pune