AI Engineer

Akeno Tech designs and develops production-grade AI systems for organizations seeking scalable and reliable automation. Our work spans AI-powered applications, computer vision pipelines, multi-agent automation, and data-driven platforms. We focus on building systems that deliver measurable results while maintaining strong engineering standards, secure deployments, and dependable performance.

We are looking for a Full Stack AI Engineer who enjoys working across backend systems, AI model integration, and user-facing dashboards. This role involves building end-to-end solutions that combine intelligent automation, scalable APIs, and modern application interfaces.

The Role

We are building various AI-driven infrastructures designed for scalability, real-time insights, and automation using modern tools like n8n for workflow orchestration and OpenAI APIs for natural language capabilities. This role presents an exciting opportunity to work on cutting-edge AI models, scalable backend systems, and intuitive user interfaces using , delivering high-performance AI-driven applications. As a Full Stack AI Engineer, you'll take end-to-end ownership of AI-driven applications, from backend architecture to inference pipelines to clean, intuitive UI dashboards. You'll work directly with cutting-edge models, build highly scalable systems, integrate LLMs and generative AI, and craft data-driven user experiences.

This role is ideal for engineers who love solving complex problems across
AI, big data, automation, and scalable web apps
, and want to build systems that run at enterprise scale.

Key Responsibilities

AI Integration & Deployment

• Design, deploy, and fine-tune AI/ML models, including neural networks, regression models, and predictive analytics into production environments..
• Fine-tune and deploy state-of-the-art models such as YOLO, BERT, and Transformer architectures for tasks like object detection, NLP, and image recognition.
• Leverage advanced techniques like transfer learning, hyperparameter optimization, and cross-validation to ensure high performance.
• Optimize inference speed, memory usage, and real-time performance.

Backend Architecture

• Develop scalable APIs and microservices using Python, FastAPI, Django, , etc.
• Design distributed, fault-tolerant systems with clean architectural patterns.

Frontend Engineering

• Build modern AI-driven dashboards using React, , Django, and TypeScript.
• Create interfaces that deliver real-time insights and intuitive interaction.

AI Automation & Workflow Intelligence

• Integrate LLMs, generative AI models, and deep learning pipelines.
• Automate repetitive tasks and enable agentic behavior across systems.
• Design, Build and operate n8n worklows

System Optimization & Scalability

• Implement load balancing, caching, distributed computing, and performance tuning.
• Ensure systems handle heavy traffic, concurrency, and low-latency operations.
• Contribute to product direction, architecture decisions, and system improvements.

Security & Compliance

• Implement secure APIs, authentication, JWT/OAuth flows, and data protection mechanisms.

Qualifications

• Bachelor's in Computer Science or related field.
• 4+ years of experience
  in full-stack engineering with strong AI exposure.
• Strong backend experience with Python, FastAPI, Django, or
• Proficiency in front-end development (React, , TypeScript, Django).
• Skilled with AI frameworks: TensorFlow, PyTorch, Hugging Face Transformers, etc.
• Solid database experience: PostgreSQL, MongoDB, Redis.
• Hands-on with cloud platforms: AWS, GCP, Azure.
• Familiarity with DevOps, CI/CD, Docker, Kubernetes, Terraform, GitHub Actions.
• Passion for solving complex engineering challenges and building high-impact AI products.

Nice-to-Haves

• Experience with LLMs, RAG systems, and Generative AI workflows.
• Experience with big data tools (Kafka, Spark, Snowflake, or similar technologies for large-scale analytics) is a plus.
• Knowledge of vector DBs like Pinecone, Weaviate, FAISS.
• Experience in MLOps, observability, and model monitoring.
• Familiarity with visualization tools , Superset, Grafana).

What We Offer

• The chance to build cutting-edge AI systems used by enterprises and startups.
• High-impact role with ownership and autonomy.
• Collaborate with top engineers, AI architects, and multi-agent specialists.
• Competitive salary, performance bonuses, and long-term growth opportunities.
• A fast-paced, innovation-driven environment with flexibility where needed.

Keywords

Full Stack AI Engineer, Machine Learning Engineer, AI Developer, Deep Learning, LLMs, Generative AI, Data Engineering, Automation, FastAPI, React, Docker, Kubernetes, AWS, MLOps, AI Infrastructure, RAG Systems, Agentic AI, , Big Data.