What You'll Do
- Design, develop, and deploy enterprise-grade AI applications and intelligent automation platforms.
- Build AI-powered services using Large Language Models (LLMs), RAG, AI Agents, and Vector Search technologies.
- Design scalable backend services, APIs, and microservices supporting AI workloads.
- Develop and optimize AI orchestration pipelines for agentic workflows and enterprise automation.
- Integrate AI capabilities into enterprise applications, products, and business processes.
- Build secure, scalable, and production-ready AI platforms on cloud-native infrastructure.
- Collaborate with Product Managers, Architects, Data Engineers, and Software Engineers to deliver innovative AI solutions.
- Evaluate emerging AI technologies and recommend adoption where appropriate.
- Monitor, optimize, and continuously improve AI model performance, reliability, and scalability.
Required Qualifications
- Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related discipline.
- 5+ years of professional software engineering experience.
- Strong experience with Python and modern backend development.
- Experience developing AI-powered applications using LLMs and Generative AI.
- Strong understanding of REST APIs, Microservices, Distributed Systems, and Cloud Architecture.
- Experience with Docker and Kubernetes.
- Solid understanding of software architecture, design patterns, and system scalability.
- Strong analytical, communication, and problem-solving skills.
Preferred Technical Skills
Artificial Intelligence
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- AI Agents / Agentic AI
- Prompt Engineering
- MCP (Model Context Protocol)
- AI Workflow Orchestration
- Semantic Search
- Vector Embeddings
- AI Evaluation & Observability
Backend Development
- Python
- FastAPI
- Async Python
- REST APIs
- Microservices Architecture
Data & AI Infrastructure
- Vector Databases (Qdrant, Pinecone, Weaviate, Milvus)
- PostgreSQL / SQL Server
- Redis
- RabbitMQ
- Elasticsearch (Preferred)
Cloud & DevOps
- Docker
- Kubernetes
- Azure / AWS / GCP
- CI/CD Pipelines
- GitHub Actions / Azure DevOps
AI Frameworks
- LangChain
- LangGraph
- LlamaIndex
- OpenAI API
- Anthropic Claude API
- Google Gemini API
- Hugging Face
- Ollama (Preferred)
Nice to Have
- Experience building enterprise AI copilots or autonomous AI agents.
- Experience with OCR, Document Intelligence, and Knowledge Management systems.
- Knowledge of AI governance, security, and responsible AI practices.
- Experience deploying scalable AI services in production environments.
- Familiarity with OpenAPI Specification (OAS), Model Context Protocol (MCP), and Agent-to-Agent (A2A) communication.
What We Offer
- Work on cutting-edge AI, Generative AI, and Agentic AI solutions.
- Opportunity to build enterprise-grade AI platforms for local and global clients.
- Exposure to modern cloud-native architectures and AI technologies.
- Collaborative engineering culture focused on innovation and continuous learning.
- Competitive salary and performance-based career growth.
- Opportunity to shape the future of AI-powered enterprise software.
📩 How to Apply
Interested candidates are invited to send their updated CV to:
📧 career(@)flytesolutions.com
Subject: Application – Senior AI Engineer
Please include:
- Updated Resume/CV
- Current Salary
- Expected Salary
- Notice Period
- GitHub Profile (Preferred)
- LinkedIn Profile (Preferred)
Note: Only shortlisted candidates will be contacted.
Flyte Solutions Ltd.
Morning Glory – Level 6 & 7
House 19, Road 13/C, Block-E
Banani, Dhaka 1213, Bangladesh
🌐 https://www.flytesolutions.com