Job Description

About TechWize

TechWize is a Salesforce Partner, helping global clients with IT consulting, Technology Implementation, and Custom Software Development.

With presence in the US and India, TechWize offers an end-to-end implementation of leading CRM, ERP, and Cloud-based applications like Salesforce, Dynamics 365, Oracle NetSuite, SharePoint, Sage, etc.

𝗢𝘂𝗿 𝗖𝗿𝗲𝗱𝗲𝗻𝘁𝗶𝗮𝗹𝘀:

Ø  Over 22 years of industry presence

Ø  Salesforce Partner

Ø  ISO 27001:2019 Certified

Ø  Great Place to Work Certified

Ø  HIPAA Compliant

Ø  SOC2 Compliant

Ø  NASSCOM Member

𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗲𝘀 𝗦𝗲𝗿𝘃𝗲𝗱: IT, Healthcare, Finance, Automotive, Retail, Manufacturing, Food & Beverages, Energy, and Non-Profit.

𝗪𝗵𝘆 𝗖𝗵𝗼𝗼𝘀𝗲 𝗧𝗲𝗰𝗵𝗪𝗶𝘇𝗲:

Ø  100+ senior IT professionals having 10+ years of average experience

Ø  500+ tech projects and client engagements

Ø  Customers in 20+ countries

Visit us to know more www.techwize.com

LinkedIn: https://www.linkedin.com/company/techwize/

Job Title: AI Engineer 

Job Type: Full-time
Experience Level: 4+ Years

Job Overview:

We are seeking a highly experienced and innovative Senior AI Engineer with a strong background in Generative AI, including LLM fine-tuning and prompt engineering. This role requires hands-on expertise across NLP, Computer Vision, and AI agent-based systems, with the ability to build, deploy, and optimize scalable AI solutions using modern tools and frameworks.

Required Skills & Qualifications:

• Bachelor’s or Master’s in Computer Science, AI, Machine Learning, or related field.
• 5+ years of hands-on experience in AI/ML solution development.
• Proven expertise in fine-tuning LLMs (e.g., LLaMA, Mistral, Falcon, GPT-family) using techniques like LoRA, QLoRA, PEFT.
• Deep experience in prompt engineering, including zero-shot, few-shot, and retrieval-augmented generation (RAG).
• Proficient in key AI libraries and frameworks:
• LLMs & GenAI: Hugging Face Transformers, LangChain, LlamaIndex, OpenAI API, Diffusers
• NLP: SpaCy, NLTK.
• Vision: OpenCV, MMDetection, YOLOv5/v8, Detectron2
• MLOps: MLflow, FastAPI, Docker, Git
• Familiarity with vector databases (Pinecone, FAISS, Weaviate) and embedding generation.
• Experience with cloud platforms like AWS, GCP, or Azure, and deployment on in house GPU-backed infrastructure.
• Strong communication skills and ability to convert business problems into technical solutions.

Preferred Qualifications:

• Experience building multimodal systems (text + image, etc.)
• Practical experience with agent frameworks for autonomous or goal-directed AI.
• Familiarity with quantization, distillation, or knowledge transfer for efficient model deployment.