Lead Engineer - AI/ML

Company : Esyasoft Technologies

Job Type : Full Time

Bengaluru, India

Job Description - Lead Engineer - AI/ML

We are looking for a Mid -Level AI/ML Engineer to design, develop, and deploy machine learning and Generative AI solutions. The role focuses on building LLM -powered applications, RAG pipelines, and AI services while working closely with product, backend, and data teams.

Key Responsibilities:

AI / ML & Generative AI
Develop and implement machine learning and NLP models for real -world applications.
Build Generative AI applications using LLMs such as OpenAI, Llama, and Mistral.
Design and optimize Retrieval -Augmented Generation (RAG) pipelines.
Work with embedding models, prompt engineering, and model fine -tuning.
Apply ML techniques like classification, regression, clustering, and dimensionality reduction.
Develop LLM workflows using LangChain and LangGraph.
Work on agent -based and multi -agent systems, including basic A2A communication.
Experiment with CrewAI and agent orchestration frameworks.
Backend & API Development
Build and maintain AI -backed APIs using FastAPI, Flask, or Django.
Integrate ML models into applications with scalable REST services.
Data & Databases
Work with data using Python, SQL, PostgreSQL, and ArangoDB.
Perform data processing and analysis using Pandas and NumPy.
Use vector databases such as FAISS, Milvus, or Chroma.
Deployment & MLOps
Containerize and deploy AI services using Docker.
Use Git and Linux for version control and development workflows.
Support on‑premise deployments and basic model monitoring.
Security & Access Control
Implement RBAC, authentication, and authorization using JWT and SSO.
Follow secure coding and data‑protection best practices.

Required Skills:

Programming: Python, SQL
ML & AI: Scikit -learn, PyTorch or TensorFlow
Generative AI: LLMs, RAG pipelines, prompt engineering
Frameworks: LangChain, LangGraph, HuggingFace
Backend: FastAPI / Flask / Django
Databases: PostgreSQL, ArangoDB, Vector DBs
Tools: Docker, Git, Linux
Data & Visualization: Pandas, NumPy, Matplotlib, Power BI

Education:

Bachelor’s degree in Computer Science, AI, Data Science, or related field
5–8 years of experience in AI/ML or Data Science roles

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