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Senior Developer
India
Job Description
Senior Developer
Pune, Maharashtra
Job Summary
We are seeking an experienced Senior AI/ML Engineer to lead the design and development of enterprise-grade AI solutions, including production RAG systems, classical ML models, and deep learning pipelines.
Must-have Skills :Artificial Intelligence, Machine Learning, C#
Degree :B.Tech/B.E.
Key Responsibilities
Responsibilities
Architect and build Enterprise RAG systems - chunking strategies, retrieval pipelines, re-ranking, evaluation, and guardrails at scale
Design and implement ML models for business problems - feature engineering, model selection, training, evaluation, and deployment
Build and optimize XGBoost models for structured/tabular data use cases (classification, regression, ranking)
Develop LSTM (Long Short-Term Memory) and other neural network architectures for sequential/time-series data
Train and deploy models using PyTorch and TensorFlow
Design advanced LangChain & LangGraph workflows - multi-agent systems, tool use, routing, memory management
Architect Vector Database solutions - index design, hybrid search, scaling, and performance tuning
Mentor junior engineers and drive technical standards across the team
Evaluate and integrate new AI/ML tools and frameworks
Required Skills
Skill Requirements
5+ years of experience in software engineering with 3+ years focused on ML/AI
Strong ML fundamentals - supervised/unsupervised learning, model evaluation, hyperparameter tuning, cross-validation, bias-variance tradeoff
Production experience with Enterprise RAG - document ingestion pipelines, chunking strategies, semantic search, re-ranking (Cohere, cross-encoders), evaluation , and hallucination mitigation
Experience with XGBoost - feature importance, handling imbalanced data, model interpretability (SHAP)
Deep learning expertise - LSTM, RNN, attention mechanisms, sequence-to-sequence models
Proficiency in PyTorch and/or TensorFlow for model development and training
Advanced usage of LangChain & LangGraph - custom agents, graph-based orchestration, streaming, fallback handling
Robust Vector Database expertise - schema design, ANN algorithms (HNSW, IVF), hybrid search (dense + sparse), scaling strategies
Experience deploying ML models to production (model serving, monitoring, drift detection)
Nice to Have
Experience with MLOps tools (MLflow, Weights & Biases, Kubeflow)
Knowledge of transformer architectures
Cloud ML services (Azure ML, SageMaker, Vertex AI)
Other Requirements
Job Description:
About the Role
We are seeking an experienced Senior AI/ML Engineer to lead the design and development of enterprise-grade AI solutions, including production RAG systems, classical ML models,
and deep learning pipelines.
Responsibilities
Architect and build Enterprise RAG systems - chunking strategies, retrieval pipelines, re-ranking, evaluation, and guardrails at scale
Design and implement ML models for business problems - feature engineering, model selection, training, evaluation, and deployment
Build and optimize XGBoost models for structured/tabular data use cases (classification, regression, ranking)
Develop LSTM (Long Short-Term Memory) and other neural network architectures for sequential/time-series data
Train and deploy models using PyTorch and TensorFlow
Design advanced LangChain & LangGraph workflows - multi-agent systems, tool use, routing, memory management
Architect Vector Database solutions - index design, hybrid search, scaling, and performance tuning
Mentor junior engineers and drive technical standards across the team
Evaluate and integrate new AI/ML tools and frameworks
Required Skills
5+ years of experience in software engineering with 3+ years focused on ML/AI
Strong ML fundamentals - supervised/unsupervised learning, model evaluation, hyperparameter tuning, cross-validation, bias-variance tradeoff
Production experience with Enterprise RAG - document ingestion pipelines, chunking strategies, semantic search, re-ranking (Cohere, cross-encoders), evaluation , and hallucination mitigation
Experience with XGBoost - feature importance, handling imbalanced data, model interpretability (SHAP)
Deep learning expertise - LSTM, RNN, attention mechanisms, sequence-to-sequence models
Proficiency in PyTorch and/or TensorFlow for model development and training
Advanced usage of LangChain & LangGraph - custom agents, graph-based orchestration, streaming, fallback handling
Strong Vector Database expertise - schema design, ANN algorithms (HNSW, IVF), hybrid search (dense + sparse), scaling strategies
Experience deploying ML models to production (model serving, monitoring, drift detection)
Nice to Have
Experience with MLOps tools (MLflow, Weights & Biases, Kubeflow)
Knowledge of transformer architectures
Cloud ML services (Azure ML, SageMaker, Vertex AI)
Information at a Glance
Why HCLTech?
At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first.
HCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services.
Consolidated revenues as of 12 months ending June 2026 totaled $14.8 billion.
Copyright © 2026 HCL Technologies Limited
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📌 Senior Developer (India)
🏢 HCLTech
📍 India