GEN AI ENGINEER

StackNexus; India; On-site; INR 6,628,787 - 8,522,727; Full time

Job summary

StackNexus is seeking a GEN AI ENGINEER to design and optimize AI agents and build RAG pipelines. Candidates should have over 5 years of experience in AI/ML or NLP development, strong Python skills, and familiarity with frameworks like FastAPI and TensorFlow. The role involves API development, collaboration on AI integrations, and a focus on model optimization. This position allows for remote work with a preference for candidates familiar with U.S. working hours.

Qualifications

• 5+ years of experience in product development and AI/ML or NLP solution development.
• Strong coding proficiency in Python with practical experience in relevant libraries.
• Experience with LLM frameworks and strong understanding of retrieval systems.

Responsibilities

• Design, implement, and optimize AI agents with frameworks.
• Build and maintain RAG pipelines with LLMs and vector search.
• Collaborate to integrate AI components into business systems.

Skills

Python proficiency

Knowledge of AI/ML frameworks

Experience with RESTful APIs

Familiarity with cloud AI services

Understanding of MLOps

Tools

FastAPI

Docker

Kubernetes

TensorFlow

PyTorch

Job description

Overview

Job Title: GEN AI ENGINEER

Experience: +5 Years

Location: Remote (U.S. Working Hours)

Start: Immediate

Responsibilities

• Design, implement, and optimize AI agents leveraging frameworks such as LangChain, LlamaIndex, or Haystack.


• Build and maintain RAG (Retrieval-Augmented Generation) pipelines combining LLMs, embeddings, and vector search.


• Develop and fine-tune ML and NLP models for internal use cases, work with vector databases, and design efficient retrieval workflows.


• Collaborate with other product teams to integrate AI components into the orchestration layer and business systems.


• Implement APIs and microservices that expose AI functionalities for broader system use.


• Experience with context & prompt engineering, model evaluation, and response optimization.


• Evaluate, benchmark, and monitor models using standard metrics and observability tools.


• Stay up to date with the latest trends in AI frameworks, LLMs, and orchestration technologies.

Job Requirements

• 5+ years of experience in product development and AI/ML or NLP solution development.


• Strong coding proficiency in Python with practical experience in libraries like FastAPI, Pandas, PyTorch, TensorFlow, or Transformers.


• Experience with LLM frameworks and strong understanding of retrieval systems, embeddings, and vector databases.


• Hands-on experience with RESTful API development, microservices, and containerized deployments (Docker/Kubernetes).


• Familiarity with cloud AI services such as GCP Vertex AI (preferred) or AWS Bedrock, Azure OpenAI, etc.


• Exposure to data pipelines, preprocessing, and production-grade model deployment.


• Experience building multi-agent systems or orchestrated AI workflows.


• Familiarity with MLOps, CI/CD, and model lifecycle management.


• Contributions to open-source AI/ML projects or custom toolkits.


• Understanding of monitoring, cost optimization, and performance tuning for AI workloads.