Gen AI Developer

3 - 8 years

10 - 17 Lacs

Posted:18 hours ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Job Title: GenAI DeveloperExperience: 3-8 YearsLocation: Pune / Nagpur (Hybrid)Employment Type: Full-time

About Company


Data-Engine works with clients to architect and deploy solutions in GenAI, IoT and ML. Our teams have designed systems that power connected devices, enable edge intelligence and deliver AI-driven applications that solve concrete business problems both in India and overseas. Our focus is to work with clients to translate complex problems into engineered systems that deliver measurable outcomes and accelerate time-to-market.

Role Overview


We are seeking a highly skilled GenAI / AI-ML Developer with 3-8 years of experience in designing and implementing AI-driven solutions. The ideal candidate will have strong expertise in Python, machine learning, deep learning, and GenAI technologies, with hands-on experience in building and deploying scalable AI systems.

Key Responsibilities


Work on prompt engineering, LLM fine-tuning, and deployment workflows.


Implement AI-driven solutions for analyzing, understanding, and migrating legacy codebases.


Integrate APIs such as OpenAI, Claude, Azure OpenAI, etc., into products or tools.


Develop reusable components for embeddings, vector search, and prompt handling.


Research and stay current with latest AI/ML trends, frameworks, and tools.

Required Skills & Qualifications


Strong Python programming skills.

Deep understanding of machine learning and deep learning algorithms.


Proficiency in Natural Language Processing (NLP).


Expertise in data handling, preprocessing, and data engineering.


Knowledge of AI frameworks and libraries (TensorFlow, PyTorch, Hugging Face, etc.). Experience in model deployment, scaling, and optimization.


Hands-on experience with GenAI tools (RAG, LLMs, embeddings, vector DBs).


Strong problem-solving and analytical abilities.

Preferred Skills


Experience working with large-scale AI systems in production.


Familiarity with cloud services (AWS, Azure, GCP) for AI/ML workloads.


Prior experience in Agile/Scrum environments.

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