EverestDX - Python Developer - Generative AI

2 weeks ago

Chennai, Tamil Nadu, India EverestDX Inc Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Description
Key Responsibilities :
Application Development

  • Design and develop GenAI-enabled microservices and APIs using Python (FastAPI, Flask, Django).
  • Implement LLM integrations using frameworks such as LangChain, LlamaIndex, Semantic Kernel, or CrewAI.
  • Build and manage RAG pipelines combining embeddings, vector stores, and retrieval mechanisms.
  • Develop prompt templates and implement prompt chaining/orchestration for conversational AI systems.

Model & Data Integration

  • Integrate models via APIs from OpenAI, Anthropic, Azure OpenAI, 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 OpenSearch.
  • Collaborate with data engineers to connect structured and unstructured datasets (S3, Cosmos DB, SQL, etc.

Cloud & Deployment

  • Containerize GenAI services using Docker and deploy on Kubernetes (EKS/AKS).
  • Automate deployment pipelines using GitHub Actions, Azure DevOps, or Terraform.
  • Implement logging, monitoring, and model telemetry using CloudWatch, Application Insights, or Prometheus.
  • Ensure secure API management and key handling via AWS Secrets Manager or Azure Key Vault.

Optimization & Scalability

  • Optimize 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 & Qualifications
Core Technical Skills :
Strong expertise in Python (6+ years) with knowledge of :

  • Async programming, REST APIs, and design patterns.
  • Libraries : FastAPI, Flask, Pydantic, SQLAlchemy, Pandas, NumPy.

Proficiency In AI/GenAI SDKs And APIs

  • OpenAI / Azure OpenAI / AWS Bedrock / Hugging Face Transformers.

Familiarity With LLM Orchestration

  • LangChain, LlamaIndex, Semantic Kernel, CrewAI, or Dust.
  • Understanding of embeddings, vector databases, and RAG workflows.

Cloud & DevOps Skills
Strong hands-on experience in AWS or Azure :

  • AWS : Lambda, ECS/EKS, S3, SageMaker, Bedrock.
  • Azure : Azure OpenAI, Azure ML, Cognitive Services, AKS.
  • Experience with CI/CD, IaC (Terraform/Bicep), and API gateways.
  • Knowledge of containerization and cloud security best practices.

AI & ML Fundamentals

  • Good understanding of :

NLP, embeddings, and tokenization.

Prompt engineering and few-shot learning techniques.

Model performance metrics (latency, perplexity, accuracy)

)

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