
Full Stack AI Engineer
2 weeks ago
About Soft Techniques
Soft Techniques is building the future of AI-powered solutions and intelligent automation. We specialize in creating
AI-driven infrastructures
designed for scalability, real-time insights, and seamless business automation. From
workflow orchestration with n8n
to
LLM-based platforms using OpenAI APIs
, we deliver end-to-end solutions that redefine how businesses operate and exchange information.
This is an exciting opportunity to work on
state-of-the-art AI models, scalable backend systems, and intuitive user interfaces with
, creating high-performance, AI-powered applications that drive real impact.
The Role
As a
Full Stack AI Engineer
at Soft Techniques, you'll take ownership of end-to-end AI-powered projects, ensuring both backend scalability and frontend usability. You'll integrate advanced AI models, optimize system performance, and design interactive dashboards that deliver real-time insights. This role is perfect for engineers who want to push technical boundaries and solve complex challenges at the intersection of AI, big data, and scalable applications.
Key Responsibilities
AI Integration & Deployment
– Build and deploy AI/ML models, optimize inference speed, and integrate OpenAI APIs and LLM-based tools.
Backend Architecture
– Design scalable APIs and microservices with Python, FastAPI, , and workflow tools like n8n.
Frontend Development
– Develop interactive AI-driven dashboards with , Django, and TypeScript for real-time insights.
Data Engineering
– Design pipelines and optimize big data analytics with technologies like Spark, Kafka, and Snowflake.
System Optimization
– Enhance frontend-backend communication, optimize databases, and reduce system latency.
AI Automation
– Automate workflows with n8n, integrate LLMs, and apply generative AI with PyTorch/TensorFlow.
Scalability & Performance
– Implement caching, load balancing, and distributed systems for high availability.
Security & Compliance
– Secure APIs, OAuth/JWT authentication, and best practices for data protection.
Collaboration & Leadership
– Work closely with AI researchers, engineers, and designers to deliver innovative solutions.
Qualifications
Bachelor's in Computer Science or related field
1+ years in
full-stack development
with a focus on AI and scalable systems
Strong in
Python, FastAPI, Django,
for backend services
Skilled with
, , TypeScript
for modern frontends
Experience with
AI/ML frameworks
(TensorFlow, PyTorch, Hugging Face)
Hands-on with
OpenAI APIs, prompt engineering, and n8n automation
Solid knowledge of databases
(PostgreSQL, MongoDB, Redis) and
big data
(Kafka, Spark, Snowflake)
Familiar with
cloud platforms
(AWS, GCP, Azure), Docker, and Kubernetes
Understanding of
DevOps & CI/CD
workflows with GitHub Actions, Terraform, or Jenkins
Passion for
AI-driven product innovation
in fast-paced environments
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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