Willware Technologies
Website:
willwaretech.com
Job details:
Company : Willware Technologies
Role: Gen AI Developer
Experienc: 6-10 Years
work mode: Hybrid
location: Bangalore/ Pune/ Hyderabad
Position Summary -
The Senior Generative AI Developer will be a key contributor responsible for the design,
development, testing, and deployment of production-grade Generative AI applications. This hands-
on role requires deep expertise in modern software development practices, proficiency in Large
Language Models (LLMs), and the ability to integrate sophisticated AI capabilities into existing
enterprise software systems. The ideal candidate will mentor junior team members and drive
technical excellence in GenAI implementation.
Key Responsibilities and Duties -
Complete Hands-on in developing Agentic AI production scalable experience is mandatory.
Code Development: Write clean, efficient, and well-documented code primarily in Python to
build Generative AI features, microservices, and APIs.
Prompt Engineering: Design, implement, and rigorously test advanced Prompt Engineering
techniques (e.g., Chain-of-Thought, few-shot learning) to maximize model performance and
adherence to task specifications.
RAG System Development: Architect and implement high-performance Retrieval-Augmented
Generation (RAG) pipelines, including data chunking, embedding generation, vector
database interaction (e.g., Pinecone, ChromaDB), and context retrieval optimization.
Model Integration: Integrate, customize, and deploy both commercial (OpenAI, Anthropic)
and open-source (Llama, Mistral) LLMs via APIs, local inference, or cloud-based services
(e.g., AWS Bedrock, Azure OpenAI).
Model Fine-Tuning (LoRA): Execute model fine-tuning and adaptation techniques, such as
LoRA (Low-Rank Adaptation) and QLoRA, on domain-specific datasets to improve accuracy
and reduce model size.
Ability to work in a dynamic and high-pressure environment with a solution mind-set
Documentation: Create and maintain detailed technical documentation for all developed
code, APIs, and infrastructure configurations.
Technical Expertise -
End-to-End ML/DL Expertise: Full-stack mastery of Machine Learning and Deep Learning,
ranging from traditional frameworks (Scikit-Learn, XGBoost) to advanced computer vision
(OpenCV, TensorFlow) and privacy-centric architectures like Federated and Distributed
Learning.
Advanced Data & Vector Engineering: Expert in building scalable ETL pipelines and hybrid
search systems using high-performance vector databases (ChromaDB, OpenSearch,Milvus,
Pinecone) and traditional stores (PostgreSQL, Redis), supported by robust model
explainability (SHAP, LIME).
Production Deployment & Observability: Proven track record in shipping GDPR-compliant
applications using Docker, Azure, and Linux, with integrated telemetry and visualization via
Azure Live Metrics, Metabase, and Seaborn
Hands-on experience building multi-agent systems using frameworks like LangGraph,
CrewAI, or Autogen. You should be comfortable designing "Plan-and-Execute" loops.
Experience: 5+ years of experience in software development, with at least 2 years focused
specifically on Generative AI, NLP, or applied Machine Learning.
Experience building and exposing APIs/tools for AI or agent-based systems
Familiarity with Model Context Protocol (MCP) or similar frameworks for tool integration
Ability to design and manage structured input/output interfaces for LLM-driven workflows
Programming Mastery: Expert proficiency in Python and its ecosystem (Pandas, NumPy),
with a strong foundation in Object-Oriented Programming (OOP) principles.
GenAI Frameworks: Hands-on experience with key GenAI libraries and frameworks, such as
LangChain, LlamaIndex, Hugging Face Transformers, or PyTorch/TensorFlow.
Data &Databases: Experience working with both traditional databases (SQL, NoSQL) and
specialized Vector Databases.
Cloud & Deployment: Experience with cloud computing platforms (AWS, Azure, or GCP) and
familiarity with CI/CD tools, Docker, and Kubernetes for application deployment.
Click on Apply to know more.