The Role
Develop and deliver AI-powered products using generative AI, LLMs, prompt engineering, fine-tuning, RAG, and machine learning techniques. Build scalable web and backend applications with Python frameworks, integrating SQL and NoSQL databases. Apply NLP, deep learning, predictive modeling, and data science methods across customer-facing SaaS and cloud-based products. Collaborate in a fast-paced environment while demonstrating strategic thinking, problem-solving, leadership, and continuous learning.
Summary Generated by Built In
Desired Skills and Experience:
- Graduate Engineer or Post graduate with 2-4 years of experience, out of which about 2+ years in Advance AI (Gen AI) techniques and rest in data Science, AI and Machine Learning.
- Must have good grasp on database management, including both SQL (Structured Query Language) and NoSQL (Non-relational) databases.
- Must have hands on Python based web and back end frameworks like Django, flask
on and end-to-end product build, development and delivery experience with a mix of customer interfaces (e.g. web, mobile), languages and technologies, SAAS/Cloud based/ Big sized / Date Centered application, with a strong concurrent user base.
Key Skills:
- Advanced AI techniques: Hands on Gen AI, LLM’s, OpenAI models, LLAMA, Prompt Engineering, Fine-tuning, RAG Building, Quantization, etc.
- Machine learning techniques: Neural Network, Deep Learning algorithms (CNN/RNN/LSTM,etc), Predictive modeling, Exploratory Data analysis (EDA), Linear Regression, Logistic Regression, Clustering Techniques, Naïve Bayes, Ensemble, Gradient Boosting, XGBoost, Support Vector Machine (SVM), Decision Tree, Random forest, Knowledge Graphs etc.
- Text analytics: NLP, Sentiment Analysis, Topic Modeling, Seq2Seq, Attention model, Tokenizer, TFIDF, Word2Vec, etc.
- Python based web and back end frameworks like Django, flask, fastAPI
- Tools: Python, Pytorch, Keras, Tensorflow, OpenCV, Spacy, Sklearn, Pandas, Git , SQL, Databricks, R etc.
Personal Attributes:
- Strategic thinker with a proactive and entrepreneurial mindset.
- Strong problem-solving skills and a results-driven approach.
- Ability to thrive in a fast-paced and dynamic environment.
- Excellent decision-making and leadership capabilities.
- Commitment to continuous learning and professional development.
Skills Required
- Graduate Engineer or postgraduate degree
- 2-4 years of professional experience
- At least 2 years of experience with advanced AI or generative AI techniques
- Experience in data science, AI, and machine learning
- Database management experience with SQL and NoSQL databases
- Hands-on experience with Python web and backend frameworks, including Django and Flask
- End-to-end product build, development, and delivery experience
- Experience building web or mobile customer interfaces
- Experience with SaaS, cloud-based, large-scale, or data-centric applications
- Hands-on experience with generative AI, LLMs, OpenAI models, LLaMA, prompt engineering, fine-tuning, RAG, and quantization
- Knowledge of machine learning and deep learning algorithms
- Knowledge of NLP and text analytics techniques
- Experience with FastAPI
- Experience with Python, PyTorch, Keras, TensorFlow, OpenCV, spaCy, scikit-learn, Pandas, Git, SQL, Databricks, and R
- Strong problem-solving and decision-making skills
- Leadership capabilities and ability to work in a fast-paced environment
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The Company
What We Do
SoftTech Engineers Limited is a Pune-based software product company focused on the architecture, engineering, and construction (AEC) sector. It develops intellectual property and technology solutions supporting the construction lifecycle, including layout planning, approvals, budgeting, area calculation, and project execution. The company also provides design, development, installation, and servicing of information-technology resources, helping organizations manage and digitize complex built-environment workflows.
