AI/ML Developer (Pharma Domain)

Tekshapers Inc
Raritan, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Raritan, United States of America

Tech stack

API
Artificial Intelligence
Azure
DevOps
Django
Document Retrieval
JSON
Python
Named Entity Recognition
Search Technologies
Systems Integration
Web Applications
Data Logging
Flask
Large Language Models
Generative AI
AWS Lambda
Backend
FastAPI
Kubernetes
Information Technology
HuggingFace
Api Design
REST
Docker

Job description

  • Develop robust, modular, and testable Python applications and APIs using frameworks like FastAPI, Flask, or Django.
  • Build backend services that consume or serve LLM responses, handle session context, and manage prompt workflows.
  • Optimize performance, concurrency, and error handling for GenAI-powered applications.
  • Integrate with LLM APIs (OpenAI, Azure OpenAI, Cohere, Gemini, Claude, Hugging Face, etc.) to build intelligent assistants, summarization tools, and AI copilots.
  • Implement Retrieval-Augmented Generation (RAG) pipelines using frameworks such as LangChain, LlamaIndex, or Haystack.
  • Engineer and manage effective prompts for tasks like Q&A, semantic search, content generation, or entity extraction.
  • Work with embedding models (e.g., Sentence Transformers, OpenAI Embeddings, BERT) to convert unstructured text into vector representations.
  • Integrate and query vector databases like FAISS, Pinecone, Weaviate, or ChromaDB to power semantic search or document retrieval.
  • Package and deploy GenAI services using Docker, Kubernetes, or AWS Lambda for scalable access.
  • Collaborate with DevOps and platform teams to integrate CI/CD pipelines, logging, and monitoring.

Requirements

  • Bachelor's or Master's in Computer Science, Engineering, or a related field.
  • 2-5 years of hands-on Python development experience, with emphasis on backend/API design.
  • Experience integrating GenAI or NLP models using OpenAI, Hugging Face Transformers, Cohere, etc.
  • Proficiency with RESTful APIs, JSON handling, and web-based integration patterns.

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