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EverestDX - Python Developer - Generative AI

EverestDX - Python Developer - Generative AI

EverestDXChennai
8 days ago
Job description

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)

    (ref : hirist.tech)

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