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Posted 2w ago

Technical Specialist-App Development (INDIA - HYDERABAD - BIRLASOFT OFFICE, IN)

@ Birlasoft
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Hyderabad, Telangana, India
OnsiteFull Time
Responsibilities:Python development, GenAI productionization, LLM framework usage
Requirements Summary:Expert in Python GenAI, LLM frameworks, data architectures, cloud platforms, front-end tech, and MLOps; experience with PEFT/LoRA, RAG, data modernization, OCR, and API integration.
Technical Tools Mentioned:Python, Autogen, Crew.ai, LangGraph, LlamaIndex, LangChain, React, Streamlit, AG Grid, JavaScript, Azure, GCP, AWS, PEFT, QLoRA, LoRA, LLMOps, Pylint, Pyrit, HAX toolkit, Bleu
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Job Description

Area(s) of responsibility

 

  1. Python Programming: Deep expertise in Python for building GenAI applications and automation tools.
  2. Productionization of GenAI application beyond PoCs – Using scale frameworks and tools such as Pylint,Pyrit etc.
  3. LLM Frameworks: Proficiency in frameworks like Autogen, Crew.ai, LangGraph, LlamaIndex, and LangChain.
  4. Large-Scale Data Handling & Architecture: Design and implement architectures for handling large-scale structured and unstructured data.
  5. Multi-Modal LLM Applications: Familiarity with text chat completion, vision, and speech models.
  6. Fine-tune SLM(Small Language Model) for domain specific data and use cases.
  7. Prompt injection fallback and RCE tools such as Pyrit and HAX toolkit etc.
  8. Anti-hallucination and anti-gibberish tools such as Bleu etc.
  9. Front-End Technologies: Strong knowledge of React, Streamlit, AG Grid, and JavaScript for front-end development.
  10. Cloud Platforms: Extensive experience with Azure, GCP, and AWS for deploying and managing GenAI applications. (any two cloud exp.)
  11. Fine-Tuning Techniques: Mastery of PEFT, QLoRA, LoRA, and other fine-tuning methods. (any one is fine)
  12. LLMOps: Strong knowledge of LLMOps practices for model deployment, monitoring, and management.
  13. Responsible AI: Expertise in implementing ethical AI practices and ensuring compliance with regulations.
  14. RAG and Modular RAG: Advanced skills in Retrieval-Augmented Generation and Modular RAG architectures.
  15. Data Modernization: Expertise in modernizing and transforming data for GenAI applications.
  16. OCR and Document Intelligence: Proficiency in OCR and document intelligence using cloud-based tools.
  17. API Integration: Experience with REST, SOAP, and other protocols for API integration.
  18. Data Curation: Expertise in building automated data curation and preprocessing pipelines.
  19. Technical Documentation: Ability to create clear and comprehensive technical documentation.
  20. Collaboration and Communication: Strong collaboration and communication skills to work effectively with cross-functional teams.