Apply in 3 Minutes: Senior Software Engineer

4 weeks ago

Bengaluru, India Grid Dynamics Full time

Experience should be 5+ years
Open for Bangalore/Hyderabad

Key Responsibilities:
Design and implement end-to-end generative AI solutions including RAG chatbots, LLM-powered BI systems, and coding agents
Develop and deploy AI agents using frameworks like LangGraph and similar orchestration tools
Build robust data processing pipelines using LlamaIndex and related libraries for document ingestion and retrieval
Implement and optimize vector databases for semantic search and retrieval systems
Integrate multiple LLM providers (OpenAI, Gemini, Anthropic) and evaluate model performance
Set up comprehensive observability and monitoring using tools like LangSmith
Collaborate with engineering teams to productionize ML models and AI applications
Required Skills:Generative AI (Minimum Requirements):
Hands-on experience with LangGraph or similar AI agent frameworks
Proficiency with LlamaIndex, LangChain, or equivalent data processing libraries
Experience with vector databases (Pinecone, Weaviate, Chroma, etc.)
Working knowledge of multiple LLMs and their APIs (OpenAI GPT, Gemini, Claude)
Experience with LLM observability tools (LangSmith, Weights & Biases, etc.)
Proven track record in building LLM BI solutions (natural language to SQL)
Experience developing RAG (Retrieval-Augmented Generation) chatbots
Experience with coding agents and code generation systems
Traditional AI/ML:
Strong foundation in clustering, regression, classification, and forecasting
Proficiency with scikit-learn, PyTorch, TensorFlow
Experience with statistical analysis and experimental design
Knowledge of feature engineering and data preprocessing techniques
Good to Have:
Fine-tuning experience with LLMs, rerankers, or embedding models
Self-hosting and deployment of open-source LLMs
Experience with BERT, transformer architectures, or computer vision models (YOLO)
MLOps experience with MLflow, Weights & Biases, or TensorBoard
Cloud platform certifications (AWS, GCP, Azure)
Additional Requirements:
Strong programming skills in Python
Experience with containerization (Docker, Kubernetes)
Knowledge of API development and microservices architecture
Understanding of prompt engineering and prompt optimization techniques
Experience with evaluation frameworks for LLM applications
Familiarity with data privacy and security best practices for AI applications

About Us:
Grid Dynamics (Nasdaq:GDYN) is a digital-native technology services provider that accelerates growth and bolsters competitive advantage for Fortune 1000 companies. Grid Dynamics provides digital transformation consulting and implementation services in omnichannel customer experience, big data analytics, search, artificial intelligence, cloud migration, and application modernization. Grid Dynamics achieves high speed-to-market, quality, and efficiency by using technology accelerators, an agile delivery culture, and its pool of global engineering talent. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the US, UK, Netherlands, Mexico, India, Central and Eastern Europe.
To learn more about Grid Dynamics, please visit www.griddynamics.com . Follow us on Facebook , Twitter , and LinkedIn .
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