
Gen AI Developer
2 weeks ago
Job Title: GenAI Developer
Experience: 3-8 Years
Location: 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
Design, build, and deploy GenAI applications using LLMs, prompt engineering, and
RAG frameworks.
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.
Collaborate with cross-functional teams to deliver high-impact solutions.
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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