Sr. Gen AI Developer
Emerson
Job Summary :
We are seeking an experienced Generative & Agentic AI Developer with 7+ years of IT experience , including strong expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) and agent-based AI systems. This role focuses on developing and deploying advanced GenAI applications and autonomous Agentic AI workflows that enable intelligent automation, reasoning, and decision-making. The ideal candidate will have hands-on proficiency with Python, AI/ML frameworks, multi-agent orchestration platforms, prompt engineering and cloud-native environments to ensure scalable, secure, and production-ready solutions.
In this Role, Your Responsibilities Will Be:
Qualifications:
Preferred Qualifications:
We are seeking an experienced Generative & Agentic AI Developer with 7+ years of IT experience , including strong expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) and agent-based AI systems. This role focuses on developing and deploying advanced GenAI applications and autonomous Agentic AI workflows that enable intelligent automation, reasoning, and decision-making. The ideal candidate will have hands-on proficiency with Python, AI/ML frameworks, multi-agent orchestration platforms, prompt engineering and cloud-native environments to ensure scalable, secure, and production-ready solutions.
In this Role, Your Responsibilities Will Be:
- Design, fine-tune, and deploy advanced GenAI models (LLMs, Diffusion, GANs, VAEs, Transformers, GNNs) for multimodal, NLP, and autonomous agentic applications.
- Engineer end-to-end RAG pipelines and multi-agent workflows using LangChain, AutoGen, Copilot, MCP.
- Integrate vector DBs (PostreSQL, Pinecone, Weaviate, Chroma, FAISS, Redis) and graph DBs (Neo4j, Postgres/pgvector) for semantic retrieval and contextual reasoning.
- Optimize foundation models (GPT-4, LLaMA, Mistral, Falcon) via prompt engineering, RLHF, LoRA, quantization, and hyperparameter tuning.
- Build scalable AI solutions using Azure AI/ML (preferred) with containerized deployments (Docker, Kubernetes).
- Apply MLOps best practices: CI/CD, model versioning, drift detection, observability, and lifecycle management with MLflow, Kubeflow, Airflow, and monitoring tools.
- Develop secure AI pipelines and APIs with Python, FastAPI/Flask, RBAC, OAuth2, JWT, and encryption standards.
- Conduct model optimization: prompt engineering, hyperparameter tuning, cross-validation, and performance monitoring.
- Use tools like Azure Machine Learning, OpenAI API, HuggingFace, or custom PyTorch/TensorFlow-based models.
- Implement AI safety, bias mitigation, interpretability (SHAP, LIME, and compliance guardrails (GDPR, HIPAA, ISO).
- Collaborate with cross-functional teams to deliver enterprise-grade copilots, assistants, and reusable AI components.
- Document AI design, model workflows, and deployment pipelines for audit readiness and knowledge sharing.
- Build scalable AI applications using MLOps, CICD, containerization (Docker, Kubernetes) and deploy on Azure AI Infrastructure (preferred) or AWS if needed.
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field over 7+ years.
- Proven experience as a Gen AI Developer or in a similar role and proficiency in Python
- Strong Experience with Agentic Solution Development, RAG, Deep Learning, Prompt Engineering, Natural Language Processing (NLP), computer vision, optimization while maintaining performance techniques.
- Strong understanding and practical knowledge of LLMs, embeddings, RAG, and Vector Search.
- Proficient in prompt engineering and conversational AI solution design.
- Experience with AI on Azure (must), including Azure OpenAI, Azure ML, and related services.
- Deep hands-on experience in Python, CUDA, SQL, proficient with TensorFlow, PyTorch, Keras.
- Familiarity with security, bias mitigation, and responsible AI frameworks.
- Experience with MLOps practices and tools for deploying, tracking, and updating models.
- Knowledge of ML algorithms (e.g., CNNs, RNNs, SVMs, Random Forests, k-NN, Naïve Bayes).
- Excellent problem-solving, communication, and team collaboration skills.
Qualifications:
Preferred Qualifications:
- Certifications in AI/ML from Microsoft, AWS or Coursera/edX.
- Exposure to enterprise use cases in industries such as manufacturing, finance and other.
- Experience with AutoML, LLMOps, and performance benchmarking tools.
- Understanding of semantic search, knowledge graphs, and contextual recommendation engines.
- Hands on MLOps experience, with an appreciation of the end-to-end CI/CD process
- Certified in Azure AI Fundamentals (AI-900), Azure AI Engineer Associate (AI-102), Azure Developer Associate.
- Experience with big data technologies
JOB SUMMARY
Sr. Gen AI Developer
Emerson
Pune
42 minutes ago
N/A
Full-time
Sr. Gen AI Developer