Gen AI / ML Engineer (RAG & Agentic AI)

Position Title: Gen AI / ML Engineer (RAG & Agentic AI)

Role Summary

We are seeking a skilled engineer with expertise in machine learning, Generative AI, and autonomous agent systems. You will build next-generation applications that connect Large Language Models (LLMs) to enterprise data and external tools. You will bridge the gap between deep AI theory and scalable software engineering.

Key Responsibilities

• Build Agentic Systems: Develop autonomous agents capable of reasoning, planning, and multi-step task execution.

• Implement RAG Pipelines: Build and optimize Retrieval-Augmented Generation workflows using vector databases.

• Orchestrate Tools and APIs: Connect models to external business systems, databases, and APIs for real-world execution.

• Manage ML Pipelines: Design scalable, production-ready machine learning pipelines on cloud platforms.

• Monitor and Evaluate: Track model accuracy, latency, cost efficiency, and safety guardrails.

Required Skills & Qualifications

• Core Programming: Strong coding skills in Python.

• AI & LLM Experience: Hands-on work with foundation models (GPT, Claude, Gemini) and agent frameworks (LangChain, LlamaIndex, Semantic Kernel).

• Data Infrastructure: Experience with vector databases (Pinecone, FAISS, Weaviate, Chroma) and embeddings.

• Cloud & DevOps: Familiarity with cloud platforms (AWS, Azure, Google Cloud Platform) and container tools like Docker.

• Background: Bachelor’s or Master’s degree in Computer Science, AI, or a related field, plus 3+ years of relevant development experience.

Preferred Qualifications

• Knowledge of fine-tuning techniques (LoRA, PEFT, RLHF).

• Experience with knowledge graphs or GraphRAG.

• Familiarity with LLMOps, CI/CD pipelines, and model governance.

Please send us your updated resume.

Regards,

Nagendra Namagiri I BD & AM

Cell:

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