Full Stack AI Engineer
24 hours ago
About Akeno Tech
Akeno Tech is redefining the future of intelligent automation and AI-driven platforms. We design and deploy end-to-end systems that merge deep learning, real-time analytics, and automation workflows to empower businesses worldwide. From LLM-integrated platforms using OpenAI APIs to neural workflow orchestration and scalable backend infrastructures, Akeno Tech delivers solutions that transform how organizations work, communicate, and make decisions.
This is an opportunity to be part of a team that builds state-of-the-art AI models, scalable systems, and intuitive frontends using — creating next-generation, high-performance applications that make a measurable impact.
The Role:
As a
Full Stack AI Engineer
at Akeno Tech, you'll lead the development of AI-powered applications from architecture to deployment. You'll integrate advanced machine learning models, optimize backend systems for scale, and design intelligent dashboards that provide real-time insights. This role is ideal for engineers passionate about building at the intersection of AI, big data, and modern software engineering.
Key Responsibilities:
AI Integration & Deployment
– Build, fine-tune, and deploy AI/ML models, integrate LLMs and OpenAI APIs, and optimize inference pipelines.
Backend Architecture
– Develop scalable APIs and microservices using Python, FastAPI, , and workflow engines like n8n.
Frontend Development
– Design responsive dashboards and AI-powered interfaces with , , and TypeScript.
Data Engineering
– Build and optimize big data pipelines using Spark, Kafka, or Snowflake.
System Optimization
– Improve backend efficiency, database performance, and reduce latency across services.
AI Automation
– Implement generative AI solutions and automated workflows with n8n, LangChain, and OpenAI tools.
Scalability & Reliability
– Apply load balancing, caching, and distributed system practices for high-performance uptime.
Security & Compliance
– Secure APIs, implement OAuth/JWT, and follow best practices for data protection.
Collaboration & Delivery
– Work closely with AI researchers, developers, and designers to deliver impactful results.
Qualifications:
Bachelor's degree in Computer Science or related field
1+ years of experience in full-stack or AI-integrated development
Expertise in Python, FastAPI, Django, and
Strong frontend skills in , , and TypeScript
Experience with AI/ML frameworks (TensorFlow, PyTorch, Hugging Face)
Familiarity with neural networks, regression models, or physics-informed neural networks (PINNs)
Hands-on with OpenAI APIs, LangChain, and workflow automation tools (n8n)
Solid understanding of PostgreSQL, MongoDB, Redis, and streaming systems (Kafka, Spark)
Experience with AWS/GCP/Azure, Docker, and Kubernetes
Understanding of CI/CD workflows using GitHub Actions, Terraform, or Jenkins
Nice-to-Haves
Experience with
LLMs, Generative AI, and NLP applications
Knowledge of
vector databases
(Pinecone, FAISS) for AI search/retrieval
Hands-on
MLOps, model monitoring, and AI observability
tools
Familiarity with
real-time data visualization
, Superset)
What We Offer
Opportunity to work on
cutting-edge AI applications
shaping the future of automation
A
high-impact role
in a fast-growing AI startup
Collaboration with top engineers and innovators in the AI space
Competitive salary and performance-based growth opportunities
Flexible, innovation-driven work environment
Location: Onsite | Full-Time | DHA Phase 6, Lahore
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