Job Title: GEN AI ENGINEER
Experience: +5 Years
Location: Remote (U.S. Working Hours)
Start: Immediate
purpose of the job We are seeking an AI/ML Engineer who will play a key role in designing,
developing, and integrating intelligent AI solutions across our platform. The role involves
working on a variety of AI initiatives — from model experimentation and fine-tuning to building
intelligent agents and retrieval-augmented generation (RAG) systems. You will collaborate
closely with cross-functional teams to bring AI capabilities into production and ensure seamless
integration within our orchestration and application layers.
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 of 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 Education & Experience
- 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. good to
have skills
- 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.
