Gen AI Engineer

Tekskills Inc.; Mumbai; On-site; INR 2,000,000 - 3,000,000; Full time

Job summary

Tekskills Inc. in Mumbai seeks an experienced ML/NLP engineer to design and optimize Retrieval-Augmented Generation (RAG) based systems. You will focus on search optimization, prompting strategies, and end-to-end deployment of NLP-driven solutions.

The role requires 5+ years in technical roles (finance domain preferred), strong Python skills, API development, and experience with NLP and data preprocessing. You will collaborate with non-technical stakeholders to translate business needs into

Qualifications

• Must demonstrate proficiency in RAG techniques and retrieval-augmented generation for scalable solutions.
• Strong Python programming skills and experience building APIs.
• Experience with LLM tuning, prompt engineering and prompt strategies.
• Hands-on deployment of end-to-end AI/ML pipelines.
• Ability to handle large datasets and perform data preprocessing.

Skills

RAG techniques

Search optimization

LLM response tuning

LangGraph frameworks

AutoGen frameworks

Deployment experience

5+ years experience

NLP experience

Prompt engineering

Business requirements understanding

translating business needs into tech

Education

Bachelors or higher

Tools

Python programming

APIs

Git

NLP libraries

LangGraph / AutoGen

Job description

Must-Have Skills

• RAG (Retrieval-Augmented Generation) techniques
• Search optimization & RAG performance metrics
• LLM response tuning (prompting / hyper-tuning)
• LangGraph / AutoGen frameworks
• Deployment experience (end-to-end solutions)

Key Technical Skills

• 5+ years of technical experience (Finance domain preferred)
• Strong Python programming skills
• Experience building APIs and Python packages
• Unit testing and clean coding practices
• Knowledge of OOP and version control (Git)
• NLP (Natural Language Processing) experience
• Handling large datasets & data preprocessing
• Prompt engineering and prompting strategies

Business & Collaboration Skills

• Ability to understand business requirements
• Experience working with non-technical stakeholders
• Translate business needs into technical solutions.