Senior Python Engineer (AI, ML & Agentic AI | 5+ Years Experience | Immediate Joiner | Onsite Indore)
YMinds.AI
Location
🇮🇳 Indore, India
Type
full_time
Salary
Undisclosed
Posted
1w ago
Job Description
About the Role
Our client is seeking a Senior Python Engineer (AI, ML & Agentic AI) to design, build, and deploy production-grade AI-powered applications. The ideal candidate has strong Python engineering fundamentals combined with hands-on expertise in AI/ML, Generative AI, LLM frameworks, RAG pipelines, and AI agent systems. This role is primarily AI/ML focused, with a strong emphasis on building scalable, secure, and well-governed LLM-based solutions.
Key Responsibilities
Design and develop AI/ML and AI-powered applications using Python, with FastAPI as the primary framework (Django and Flask also used).
Build and optimize RAG (Retrieval-Augmented Generation) pipelines using LLMs, embeddings, and vector databases.
Design and execute evaluation frameworks for single-agent and multi-agent systems to measure task completion, reasoning quality, tool usage, and workflow efficiency.
Develop GenAI solutions using LangChain, LangGraph, and LlamaIndex.
Build AI agents and multi-agent workflows for business process automation.
Implement prompt engineering, retrieval evaluation, and hallucination reduction techniques.
Design and enforce LLM guardrails and governance frameworks (content filtering, output validation, safety policies, compliance, and audit logging).
Build REST APIs and microservices to integrate AI/ML components with backend systems.
Deploy AI/ML services using AWS or GCP services, Docker, Kubernetes, and CI/CD pipelines.
Work with cloud AI platforms: AWS Bedrock, GCP Vertex AI, Azure OpenAI, or OpenAI APIs.
Monitor AI/ML model performance, cost, latency, and accuracy in production environments.
Required Skills
5+ years of strong hands-on Python development experience.
Practical experience with Django, Django REST Framework, FastAPI, or Flask.
Solid understanding of AI/ML, Generative AI, LLMs, embeddings, RAG, and semantic search.
Hands-on experience with prompt engineering, RAG evaluation, re-ranking, and hallucination handling.
Experience implementing LLM guardrails and governance frameworks (safety, compliance, monitoring, and risk controls for AI systems).
Experience with LLM frameworks: LangChain, LangGraph, LlamaIndex.
Experience with ML/AI libraries: Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow, Hugging Face Transformers.
Experience with vector databases: Pinecone, FAISS, Chroma, Weaviate, Milvus, or pgvector.
Good knowledge of AWS Bedrock (model invocation, RAG, and integration with S3, Lambda, Glue, Athena, and OpenSearch).
Strong understanding of REST API development, microservices architecture, and API security best practices.
Hands-on experience with AWS or GCP services, Docker, Kubernetes, and CI/CD pipelines (GitHub Actions/GitLab CI).
Experience with relational and NoSQL databases: PostgreSQL, MySQL, MongoDB, or Redis. Preferred Skills
Experience with advanced AI/ML techniques and frameworks.
Familiarity with cloud-native application development and deployment.
Knowledge of data governance and compliance in AI systems.
Qualifications
5-8 years of professional experience in AI/ML development.
Demonstrated experience in building and deploying production-grade AI applications.
Strong debugging and problem-solving abilities.
Bachelor's or Master's degree in Computer Science, Engineering, or a related field. About YMinds.AI YMinds.AI is a premier talent solutions company specializing in sourcing and delivering elite developers with expertise in cutting-edge technologies. We help global enterprises and fast-growing startups accelerate their product development by connecting them with engineers who excel in building intelligent, scalable, and future-ready systems. Our clients are at the forefront of innovation, and we enable their success by providing exceptional talent that drives technological advancement. Keywords Senior Python Engineer, AI Engineer, ML Engineer, Generative AI, LLM, RAG, FastAPI, Django, Flask, LangChain, LangGraph, LlamaIndex, AWS, GCP, Docker, Kubernetes, CI/CD, REST APIs, Microservices, AI Governance, AI Applications, Python Development, #Python #AI #MachineLearning #GenerativeAI #LLM #FastAPI #Django #CloudComputing #TechHiring #JobDescription