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11 Fulfillment IQ Jobs
AI Solutions Engineer
Fulfillment IQ
posted 4d ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
We are looking for an LLM Engineer / AI Solutions Engineer to design, fine-tune, and deploy Large Language Models (LLMs) and build custom AI workflows within our SaaS platform. This role requires expertise in AI model integration, automation, and cloud-based deployment, along with a strong foundation in Python and LLM frameworks.
The ideal candidate has experience working with LLM APIs, retrieval-augmented generation (RAG), fine-tuning models, and vector databases, while integrating AI-driven capabilities into production environments. This role will collaborate closely with product and engineering teams to build scalable, secure, and efficient AI solutions.
1. Large Language Model (LLM) Development Optimization
Fine-tune and optimize LLMs like OpenAI (GPT-4, GPT-4 Turbo), Mistral, Meta (Llama), Anthropic, Falcon, and other open-source models
Develop custom AI workflows for SaaS applications using LangChain, LlamaIndex, and Hugging Face
Implement prompt engineering, few-shot learning, and reinforcement learning techniques for enhanced model performance
Work with retrieval-augmented generation (RAG) to improve model context understanding
2. AI Workflow SaaS Integration
Build and deploy AI-driven workflows and automation tools
Integrate AI solutions with APIs, microservices, and event-driven architecture
Design and optimize vector search capabilities with Weaviate, Pinecone, FAISS, ChromaDB
Implement multi-agent systems using AutoGen, CrewAI, and ChatDev for LLM-based decision-making
3. Cloud Infrastructure (Multi-Cloud Ready)
Deploy AI models on Azure, GCP, AWS, or on-prem environments
Develop scalable LLM services with Docker, Kubernetes, and serverless architecture
Optimize cost, performance, and scalability of AI deployments
4. Programming Automation
Write efficient, production-grade Python code for AI-powered applications
Work with FastAPI, Flask, PyTorch, TensorFlow, and other ML frameworks
Build end-to-end machine learning pipelines and ensure CI/CD for ML models
5. Security, Compliance AI Ethics
Implement data privacy measures for compliance with SOC 2, ISO 27001, GDPR, HIPAA
Ensure model fairness, explainability, and bias mitigation
Follow best practices in AI security and model robustness.
Experience and Qualifications 3+ years of experience in AI, ML, or NLP development
Strong expertise in Python, with hands-on experience in LLM frameworks (LangChain, LlamaIndex, Hugging Face)
Experience integrating LLMs with APIs, databases, and cloud environments
Knowledge of vector databases (Weaviate, Pinecone, FAISS, ChromaDB)
Familiarity with multi-cloud platforms (Azure AI Studio, GCP Vertex AI, AWS Bedrock, OpenAI API)
Understanding of AI model deployment, optimization, and inference performance tuning
Strong grasp of MLOps and DevOps practices for AI
Experience with digital twins, AI agents, reinforcement learning
Knowledge of AutoGen, CrewAI, and multi-agent LLM collaboration
Experience in fine-tuning open-source models (Llama, Mistral, Falcon) on custom datasets.
Why You ll Love Working Here
Innovative Environment: We are at the forefront of innovation, providing you with opportunities to work on cutting-edge projects that have a global impact.
Career Growth : We believe in your potential and offer numerous training and development programs to accelerate your career growth.
Work-Life Balance : We offer flexible working hours, hybrid/remote work options, and a focus on wellness to ensure our team members maintain a healthy balance.
Diversity Inclusion: We are committed to creating an inclusive work environment where diverse voices are not just heard but empowered.
Collaborative Culture : Work with a supportive and talented team, where every opinion is valued, and success is celebrated collectively.
Corporate events : Annual gathering for gelling up with team from diverse city/state/country with sightseeing and lot more engagement activity and thrill .
Perks and Benefits
Comprehensive health insurance coverage for employees their family.
Generous paid time off, including vacation, holidays, and sick leave.
Flexible work schedules
Employee wellness program.
Opportunities for career development.
Business/client travel reimbursement, Internet reimbursement, Workstation equipment s
Sponsored visa to USA (Depends on performance, Client and project needs and management decision)
Celebrating your work anniversary with Amazon or Sodexo voucher
Employee Stock options
Retirement saving plan
FIQ Culture
Employment Type: Full Time, Permanent
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What people at Fulfillment IQ are saying
What Fulfillment IQ employees are saying about work life
based on 17 employees
Flexible timing
Monday to Friday
No travel
Day Shift
Fulfillment IQ Benefits
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