AI/ML Developer
Why Tekki Web Solutions Pvt. Ltd. ?
We has diversified the business over the last 16+ years. We are a leading software development an ISO certified company which focuses on providing the clients with high-quality IT solutions to automate and simplify their business. We are a large and creative team of solution architects, programmers, IT consultants for mobile apps, web portals, and custom web applications, software as a service products (SaaS), E-commerce integrations and online tools for enterprises.
Our highly skilled teams work together to do what’s never been done before, every day. Tekki Web Solutions Pvt. Ltd. is actively designing and developing, meaningful and challenging projects using cutting-edge technology, with the ultimate goal to raise the bar even higher. Our culture is to built on open communication, togetherness and equal opportunities. It is easy to be creative and enthusiastic about your work, when you are a part of such a supportive environment.
Our DNA
🚀 Innovation-first mindset with real-world impact
🧠 Strong focus on engineering quality, scalability, and performance
🤝 Open communication, team ownership, and equal growth opportunities
🌍 Global exposure with challenging, meaningful projects
📈 Continuous learning culture aligned with modern tech stacks
🤖 About the Role
We're looking for an AI / ML Developer with 2–3 years of experience to join our team in Ludhiana.
You'll build LLM-powered applications, RAG pipelines, AI agents, and production-ready AI/ML solutions. If you're passionate about Generative AI, Machine Learning, and developing intelligent systems from data to deployment, we'd love to hear from you.
🎯 Key Responsibilities
🧠 LLMs & Agentic AI
- Design and implement RAG and multimodal AI systems
- Build AI agents using LangChain, LangGraph, and LangFlow
- Integrate LLMs for reasoning, summarization, Q&A, and automation
- Develop AI parsing pipelines for structured and unstructured data
- Apply Prompt Engineering to improve AI performance and reliability
📊 Machine Learning & Data Engineering
- Build, train, and fine-tune Machine Learning models
- Perform data preprocessing, feature engineering, and model optimization
- Evaluate models using standard ML metrics and RAG evaluation techniques
- Create visualizations and performance reports for AI models
⚙️ Deployment & Collaboration
- Develop FastAPI services for AI/ML applications
- Collaborate with Backend, Frontend, and DevOps teams
- Deploy, monitor, and optimize AI systems in production environments
🎓 Qualifications
- Bachelor's degree in Computer Science, Engineering, Data Science, or a related field
- 2–3 years of experience in AI/ML Development or Applied Data Science
- Strong understanding of end-to-end AI system development
- Ability to work independently with an ownership mindset
💻 Required Skills
- Programming: Python
- Data Processing: NumPy, Pandas
- Machine Learning: Scikit-learn, Model Training, Feature Engineering, Fine-tuning
- Generative AI: LLMs, Prompt Engineering, RAG, Multimodal RAG
- Agentic AI: LangChain, LangGraph, LangFlow, AI Agents, MCP
- API Development: FastAPI
- Vector Databases: Pinecone, Weaviate, FAISS, Chroma
- Data Visualization: Matplotlib
- Deployment: Production AI systems and model deployment
⭐ Preferred Skills
- Experience with RAG evaluation and hallucination detection
- AI parsing pipelines and document processing
- AI system optimization and performance tuning
- Multi-agent communication and orchestration
- Cloud-based AI deployment (AWS, GCP, Azure)
- Monitoring and observability for AI pipelines
- Integration of AI solutions into enterprise or SaaS applications
➕ Good to Have
- Experience with GenAI evaluation frameworks
- Exposure to cloud-native AI deployments
- Knowledge of AI monitoring, logging, and model observability
- Experience integrating AI into existing business platforms
💼 Why Join Tekki Web Solutions Pvt. Ltd.?
- 🌍 Global Exposure – Work with international clients on exciting and challenging projects.
- 🤝 Supportive Culture – Thrive in a collaborative environment built on teamwork, innovation, and ownership.
- 📈 Career Growth – Unlock continuous learning opportunities with a clear path for professional development and advancement.
“Ready to lead and grow? Apply now and be part of our success story!
👍 Competitive Salaries - Competitive salary with monthly bonuses and the ability to get a pay raise every time you grow your skills.
👍 Work-life balance - Excellent working hours to maintain the work-life balance of employees.
👍 Training and Mentorship - Get ahead at work with regular training programs planned at every level.
👍 Super Saturdays - The opportunities of all Saturdays off help employees to spend quality time with family.
👍 Monthly Meetings - Monthly general meetings for discussion of company's agenda and technology trends.
👍 Festival/Birthday Celebrations - Employee's birthdays and festival celebrations to enhance co-operation among team members.
👍 Healthcare - The well-being of our teammates is our priority, which is why we offer compulsory medical insurance.
👍 Flexible Work Shifts - Day and Night work shifts for employees to let them choose as per their time flexibility.
👍 Immigration Support - We offer and support our employees with a business visa facility.
👍 Overtime Monthly Cash - Overtime working is every month transferred to the bank directly.
👍 Extra Benefits/ Leave Encashment - An opportunity of paid leaves with an extra benefit of leave encashment on the completion of a year.
👍 Emergency Fund - We support our employees with an emergency fund facility, when needed.
👍 Learning and Development Program (TWS Academy) - Several learning programs are organized to enhance the knowledge and expertise of our employees.
👍 Employee Referral Reward - In TWS an employee can take a cash reward for referring a new joinee.
👍 Performance based incentives and Employee of the month Recognition - Extra perk or bonus can be covered from your monthly best performance and growth of your skills by achieving performer or the month.
👍 Leave adjustment - Your leaves can be adjusted by working on Saturdays/public or selected holidays/ where you can save your yearly leaves and save salary deduction.