Job Description

Country/Region: IN
Requisition ID: 25478
Work Model:
Position Type:
Salary Range:
Location: INDIA - BENGALURU - BIRLASOFT GLOBAL OFFICE

Title:

Technical Lead-App Development

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Description:

Area(s) of responsibility

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Key Responsibilities

Design and implement RAG pipelines that combine proprietary data (e.g., press releases, earnings transcripts) with LLMs to generate accurate, secure outputs. Fine-tune open-source LLMs (e.g., LLaMA 2/3, Mistral, Mixtral) using instruction or LoRA-based methods for specific use cases such as branded content generation or question-answering. Build and optimize embeddings, vector search, and semantic retrieval systems using tools like sentence-transformers, FAISS, Weaviate, or Pinecone. Collaborate with product and content teams to implement intelligent Q&A, press release graders, interview prep tools, and performance analysis assistants. Develop traditional ML models for anomaly detection, time-series forecasting, and engagement optimization (Prophet, XGBoost, scikit-learn, etc.). Integrate multimodal components such as TTS (e.g., ElevenLabs), image recommendation, and social publishing automation. Ensure secure and scalable deployment of AI systems (on cloud, Azure OpenAI, or in-house GPU infrastructure).

Qualifications

5+ years of hands-on experience in ML/AI engineering or applied data science Proven experience with

LLMs (GPT-4, Claude, LLaMA, Mistral, etc.)

and RAG architectures Strong coding skills in

Python

and experience with

LangChain, Hugging Face Transformers, OpenAI API, PEFT/LoRA

Experience fine-tuning LLMs using open-source frameworks and adapting models with domain-specific data Deep understanding of

NLP, search

, and

vector-based retrieval systems

Experience with

time-series modeling, anomaly detection

, or ML classification tasks * Familiarity with DevOps or MLOps tooling for deploying and monitoring LLM-powered applications