Python developer

About the Company:Everest DX – We are a Digital Platform Services company, headquartered in Stamford. Our Platform/Solution includes Orchestration, Intelligent operations with BOTs’, AI-powered analytics for Enterprise IT. Our vision is to enable Digital Transformation for enterprises to deliver seamless customer experience, business efficiency and actionable insights through an integrated set of futuristic digital technologies.Digital Transformation Services - Specialized in Design, Build, Develop, Integrate, and Manage cloud solutions and modernize Data centers, build a Cloud-native application and migrate existing applications into secure, multi-cloud environments to support digital transformation. Our DigitalPlatform Services enable organizations to reduce IT resource requirements and improve productivity, in addition to lowering costs and speeding digital transformation.Digital Platform - Cloud Intelligent Management (Ci M) - An Autonomous Hybrid Cloud Management Platform that works across multi-cloud environments. helps enterprise Digital Transformation get most out of the cloud strategy while reducing Cost, Risk and Speed.To know more please visit: Title : Sr. Python Developer - Gen AIJob Location : Hyderabad /ChennaiJob Type : Full TimeExperience : 6+ YrsNotice Period - Immediate to 15 days joiners are highly preferredKey Responsibilities:1. Application DevelopmentDesign and develop Gen AI-enabled microservices and APIs using Python (Fast API, Flask, Django).Implement LLM integrations using frameworks such as Lang Chain, Llama Index, Semantic Kernel, or Crew AI.Build and manage RAG pipelines combining embeddings, vector stores, and retrieval mechanisms.Develop prompt templates and implement prompt chaining/orchestration for conversational AI systems.2. Model & Data IntegrationIntegrate models via APIs from Open AI, Anthropic, Azure Open AI, AWS Bedrock, or Hugging Face.Preprocess and vectorize text data using transformers, sentence embeddings, or custom tokenizers.Work with vector databases such as Pinecone, FAISS, Milvus, Weaviate, or Amazon Open Search.Collaborate with data engineers to connect structured and unstructured datasets (S3, Cosmos DB, SQL, etc.).3. Cloud & DeploymentContainerize Gen AI services using Docker and deploy on Kubernetes (EKS/AKS).Automate deployment pipelines using Git Hub Actions, Azure Dev Ops, or Terraform.Implement logging, monitoring, and model telemetry using Cloud Watch, Application Insights, or Prometheus.Ensure secure API management and key handling via AWS Secrets Manager or Azure Key Vault.4. Optimization & ScalabilityOptimize inference latency and cost for LLM-based applications.Implement caching, batching, and token management strategies.Fine-tune or adapt models for domain-specific applications.Apply AI guardrails and output moderation for responsible AI use.Required Skills & QualificationsCore Technical SkillsStrong expertise in Python (6+ years) with knowledge of:Async programming, REST APIs, and design patterns.Libraries: Fast API, Flask, Pydantic, SQLAlchemy, Pandas, Num Py.Proficiency in AI/Gen AI SDKs and APIs:Open AI / Azure Open AI / AWS Bedrock / Hugging Face Transformers.Familiarity with LLM orchestration:Lang Chain, Llama Index, Semantic Kernel, Crew AI, or Dust.Understanding of embeddings, vector databases, and RAG workflows.Cloud & Dev Ops SkillsStrong hands-on experience in AWS or Azure:AWS: Lambda, ECS/EKS, S3, Sage Maker, Bedrock.Azure: Azure Open AI, Azure ML, Cognitive Services, AKS.Experience with CI/CD, Ia C (Terraform/Bicep), and API gateways.Knowledge of containerization and cloud security best practices.AI & ML FundamentalsGood understanding of:NLP, embeddings, and tokenization.Prompt engineering and few-shot learning techniques.Model performance metrics (latency, perplexity, accuracy).