Python GEN AI

Coforge; Hyderabad; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

Coforge is seeking a Senior Engineer / Technical Lead for Gen AI / Agentic AI, ideally located in Hyderabad with options in Noida or Pune. The role focuses on building scalable AI/ML solutions, developing AI-driven features, and advancing agentic AI capabilities using modern frameworks and LLMs.

You will collaborate with cross-functional teams to deliver production-grade AI systems. The candidate should have strong Python skills, hands-on ML/DL experience, and familiarity with vector databases,

Qualifications

• 3+ years of AI/ML experience with Python.
• Strong knowledge of Gen AI, LLMs, and NLP.
• Experience with cloud platforms and orchestration workflows.

Responsibilities

• Build scalable AI/ML solutions with Python.
• Develop Generative AI and Agentic AI features using LLMs.
• Create intelligent systems with autonomous agents and multi-agent workflows.
• Develop and optimize ML models and DL architectures for real-world use cases.
• Implement end-to-end pipelines for data ingestion, training, evaluation, and deployment.
• Work with LLMs (OpenAI, Llama) including prompt engineering and embeddings.
• Design scalable RAG architectures for enterprise apps.
• Develop APIs and microservices to integrate AI models.
• Optimize performance, latency, and cost for production deployments.
• Collaborate with product, engineering, and data teams; ensure observability and RCA.
• Practice Responsible AI with governance, bias mitigation, and evaluation.

Skills

Gen AI

Agentic AI

Python

Machine Learning

LLMs

NLP

Tools

NumPy

Pandas

Scikit-learn

TensorFlow

PyTorch

FAISS

Pinecone

Docker

Job description

Job Title - Senior Engineer / Technical Lead
Key Skills - Gen AI, Agentic AI, Python, Machine Learning, LLMs, NLP
Experience - 3 - 14 Years
Location - Noida, Pune, Hyderabad

We at Coforge are seeking Senior Engineer Technical Lead – Gen AI / Agentic AI with the following skill set:

Key Responsibilities

• Minimum 2+ years of experience in building scalable AI/ML solutions with strong exposure to Python.
• Responsible for developing new AI-driven product features, enhancements, and driving technical innovations.
• Design and develop Generative AI and Agentic AI solutions using LLMs and modern AI frameworks.
• Build intelligent systems leveraging autonomous agents, multi-agent frameworks, and orchestration workflows.
• Develop and optimize machine learning models and deep learning architectures for real-world use cases.
• Implement end-to-end pipelines for data ingestion, preprocessing, model training, evaluation, and deployment.
• Work with LLMs (OpenAI, Llama, etc.), prompt engineering, fine-tuning, and embeddings-based solutions.
• Design scalable RAG (Retrieval Augmented Generation) architectures for enterprise applications.
• Develop APIs and microservices to integrate AI models into enterprise platforms.
• Optimize model performance, latency, and cost for production-grade deployments.
• Work with cloud platforms (AWS/Azure/GCP) for deploying and managing AI workloads.
• Collaborate with cross-functional teams including product, engineering, and data teams.
• Implement observability, monitoring, and continuous improvement of AI systems.
• Ensure production stability with strong debugging, troubleshooting, and RCA skills.
• Implement Responsible AI practices including model governance, bias mitigation, and evaluation frameworks.
• Strong proficiency in Python and ML libraries (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch).
• Experience with NLP techniques including text classification, summarization, and semantic search.
• Hands-on experience with vector databases (FAISS, Pinecone, etc.).
• Experience with containerization (Docker) and CI/CD for ML pipelines.
• Superior problem-solving skills and strong debugging capabilities.
• Flexible and self-driven with a collaborative approach to problem solving.