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We are looking for skilled AI Engineer for our organization. Please have a look to below details and revert accordingly if we can discuss further
Company Name: TechWize (A Business unit of Mangalam Information Technologies Pvt Ltd.)
Our Accreditations -
- 25 years of industry presence
- Salesforce Partner
- ISO 27001:2019 certified
- Great Place to Work certified
- HIPAA Compliant
- SOC2 Compliant
- NASSCOM Member
Our EVP (Employee Value proposition)
- We are a Great place to work certified company.
- 30 Earned Leaves during calendar Year
- Career progression and continuous Learning & Development (Technical, Soft skills, Communication, Leadership)
- Performance bonus & Loyalty Bonus Benefits
- 5 Days working
- Rewards and Recognition programs
- Standard Salary as per market norms
- Equal career opportunities, No discrimination
- Magnificent & Dynamic Culture
- Festival celebrations & fun events
Explore more : https://techwize.com/, https://mangalaminfotech.com/
Position: AI/Sr. AI Engineer
Job location: Ahmedabad
Experience: 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.
Key Responsibilities:
- Design, fine-tune, and deploy generative AI models (LLMs, diffusion models, etc.) for real-world applications.
- Develop and maintain prompt engineering workflows, including prompt chaining, optimization, and evaluation for consistent output quality.
- Build NLP solutions for Q&A, summarization, information extraction, text classification, and more.
- Develop and integrate Computer Vision models for image processing, object detection, OCR, and multimodal tasks.
- Architect and implement AI agents using frameworks such as LangChain, AutoGen, CrewAI, or custom pipelines.
- Collaborate with cross-functional teams to gather requirements and deliver tailored AI-driven features.
- Optimize models for performance, cost-efficiency, and low latency in production.
- Continuously evaluate new AI research, tools, and frameworks and apply them where relevant.
- Mentor junior AI engineers and contribute to internal AI best practices and documentation.
Required Skills & Qualifications:
- Bachelor’s or Master’s in Computer Science, AI, Machine Learning, or related field.
- 4+ 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.



- 3+ years of Experience majoring in applying AI/ML/ NLP / deep learning / data-driven statistical analysis & modelling solutions.
- Programming skills in Python, knowledge in Statistics.
- Hands-on experience developing supervised and unsupervised machine learning algorithms (regression, decision trees/random forest, neural networks, feature selection/reduction, clustering, parameter tuning, etc.). Familiarity with reinforcement learning is highly desirable.
- Experience in the financial domain and familiarity with financial models are highly desirable.
- Experience in image processing and computer vision.
- Experience working with building data pipelines.
- Good understanding of Data preparation, Model planning, Model training, Model validation, Model deployment and performance tuning.
- Should have hands on experience with some of these methods: Regression, Decision Trees,CART, Random Forest, Boosting, Evolutionary Programming, Neural Networks, Support Vector Machines, Ensemble Methods, Association Rules, Principal Component Analysis, Clustering, ArtificiAl Intelligence
- Should have experience in using larger data sets using Postgres Database.