Company Overview

Incedo is a US-based consulting, data science and technology services firm with over 3000 people helping clients from our six offices across US, Mexico and India. We help our clients achieve competitive advantage through end-to-end digital transformation. Our uniqueness lies in bringing together strong engineering, data science, and design capabilities coupled with deep domain understanding. We combine services and products to maximize business impact for our clients in telecom, Banking, Wealth Management, product engineering and life science

& healthcare industries.

Working at Incedo will provide you an opportunity to work with industry leading client organizations, deep technology and domain experts, and global teams.

Incedo

University, our learning platform, provides ample learning opportunities starting with a structured onboarding program and carrying throughout various stages of your career. A variety of fun activities is also an integral part of our friendly work environment. Our flexible career paths allow you to grow into a program manager, a technical architect or a domain expert based on your skills and interests.

Our Mission is to enable our clients to maximize business impact from technology by

- Harnessing the transformational impact of emerging technologies
- Bridging the gap between business and technology

Role Description

Role Description: Sr Gen AI Engineer

We are searching for a self-driven Gen AI Expert who has strong hands-on experience in building and deploying Generative AI and Large Language Model (LLM) based solutions, with good problem-solving and debugging skills.

Role and responsibilities.





- Understand the business and solution requirements and get the team aligned with the same.
- Design, build and productionize Generative AI / LLM based solutions.
- Automation and integration of AI workflows and processes.
- Research and integrate new technologies and emerging GenAI techniques into the existing stack.

Technical Skills

Technical skills requirements The candidate must demonstrate proficiency in:

- 4-6 years of hands-on experience in Data Science / Machine Learning with strong recent focus on Generative AI.
- Strong Machine Learning fundamentals - deep understanding of various ML algorithms, model training, evaluation and their real-world applications.
- Scripting: Robust Python skills are a must - ability to write clean, modular, production-grade code, along with libraries like TensorFlow and PyTorch.

- Hands-on experience with Large Language Models (LLMs) - prompt engineering, fine-tuning (LoRA/PEFT) and evaluation.
- Hands-on experience designing and building Agentic AI systems – multi-agent orchestration, tool/function calling and reasoning workflows using frameworks like LangChain, LlamaIndex, LangGraph, AutoGen or CrewAI.
- Experience implementing agentic patterns such as planning, memory,



tool use and multi-step task execution with autonomous or semi-autonomous agents.
- Hands-on experience building RAG (Retrieval-Augmented Generation) pipelines with embeddings and vector databases.
- Valuable experience in Natural Language Processing (NLP) and transformer architecture.
- Experience working with structured and unstructured large-scale datasets and distributed computing environments.
- CI/CD: Jenkins, Github Actions
- Working experience on Linux.
- Working experience in Kubernetes.
- Understanding of Containerization.
- Strong written and oral communication skills.
- High levels of motivation with a can-do attitude.

Nice-to-have skills

Nice-to-have skills

- Experience with GPU accelerated computing and optimization techniques (quantization, distillation, inference acceleration).
- Exposure to LLMOps – versioning, monitoring, safety and guardrails.
- Understanding of Responsible AI - bias, safety and evaluation frameworks.
- Problem solving mind and attitude
- Effective communication skills - written, spoken, listening and presentation
- Great Team player
- Genuine interest in learning and knowledge sharing

Basic understanding of Agile Practices and methodologies

Qualifications

- A bachelor's degree in computer science, computer engineering, or a related discipline is required
- Demonstrated ability to work well in an agile team environment

Company Value

We value diversity at Incedo. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

📌 Senior Engineer (Bengaluru)
🏢 Incedo
📍 Bengaluru