Senior Software Engineer, GenAI

Jobtailor

Bengaluru

On-site

INR 2,500,000 - 4,500,000

Full time

14 days+

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Job summary

Jobtailor in Bengaluru, India seeks a senior AI/ML engineer to design, build, and deploy scalable LLM, RAG, and agent-based systems. You will architect end-to-end inference pipelines, optimize models for cost and performance, and collaborate with data scientists, researchers, and product teams.

You will enforce clean code, testing, and CI/CD while mentoring junior engineers and upholding ethical AI standards.

Qualifications

Requires a BA/BS degree in Information Technology, Computer Science or related field of study.
5+ years of experience in data engineering / software engineering roles.
Advanced Python with strong fundamentals in NumPy, Pandas, scikit-learn
Deep learning expertise in PyTorch / TensorFlow
Hands-on with LLM frameworks: Hugging Face Transformers, LangChain (prompting & fine-tuning)
Strong experience with Agentic AI frameworks: AutoGen, CrewAI, LangGraph
Expertise in RAG pipelines, semantic search, vector databases
Strong software engineering practices: microservices, TDD, concurrency
Ability to rapidly prototype and productionize GenAI solutions.
Strong hands‑on experience with Snowflake (data modeling, performance tuning, SQL optimization).

Responsibilities

Build and deploy scalable LLM, RAG, and agent-based systems.
Architect LLM inference and deployment pipelines.
Optimize models for efficient and cost-effective production.
Collaborate with data science, research, and product teams.
Ensure clean code, testing, reproducibility, and CI/CD.
Mentor junior engineers and drive engineering best practices.
Ensure ethical, secure, and responsible AI development.

Skills

Data Engineering

Software Engineering

Advanced Python

NumPy

Pandas

Scikit-learn

Deep Learning (PyTorch/TensorFlow)

LLM Frameworks

Agentic AI Frameworks

RAG Pipelines

Vector Databases

CI/CD

Microservices

TDD

Concurrency

Snowflake

Education

BA/BS in Information Technology

BA/BS in Computer Science

Tools

Hugging Face Transformers

LangChain

AutoGen

CrewAI

LangGraph

Job description

Build and deploy scalable LLM, RAG, and agent-based systems
Architect LLM inference and deployment pipelines
Optimize models for efficient and cost-effective production
Collaborate with data science, research, and product teams
Ensure clean code, testing, reproducibility, and CI/CD
Mentor junior engineers and drive engineering best practices
Ensure ethical, secure, and responsible AI development

Requirements

Requires a BA/BS degree in Information Technology, Computer Science or related field of study.
5+ years of experience in data engineering / software engineering roles.
Advanced Python with strong fundamentals in NumPy, Pandas, scikit-learn
Deep learning expertise in PyTorch / TensorFlow
Hands-on with LLM frameworks: Hugging Face Transformers, LangChain (prompting & fine-tuning)
Strong experience with Agentic AI frameworks: AutoGen, CrewAI, LangGraph
Expertise in RAG pipelines, semantic search, vector databases
Strong software engineering practices: microservices, TDD, concurrency
Ability to rapidly prototype and productionize GenAI solutions.
Strong hands‑on experience with Snowflake (data modeling, performance tuning, SQL optimization).

Core Competencies

Demonstrates expertise in building and deploying scalable LLM and RAG systems, with a strong focus on optimizing models for production efficiency. Proficient in collaborating across teams and mentoring junior engineers while ensuring best practices in software engineering and ethical AI development.

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